Overview
Comment: | Created branch optimise-algebraic-equations |
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Timelines: | family | ancestors | descendants | both | origin/optimise-algebraic-equations | trunk |
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SHA3-256: |
d7af98a1bae1303a077dacb07cf6fd79 |
User & Date: | gawthrop@users.sourceforge.net on 2002-07-10 14:55:19 |
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Context
2002-07-10
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15:02:33 | Updated from main branch. check-in: 4749685170 user: geraint@users.sourceforge.net tags: origin/optimise-algebraic-equations, trunk | |
14:55:19 | Created branch optimise-algebraic-equations check-in: d7af98a1ba user: gawthrop@users.sourceforge.net tags: origin/optimise-algebraic-equations, trunk | |
2002-06-21
| ||
13:30:59 | Reformat input line for rates and outputs as well as algebraic equations. check-in: a5d8bcd452 user: geraint@users.sourceforge.net tags: origin/optimise-algebraic-equations, trunk | |
Changes
Added mttroot/mtt/doc/mtt.texi version [677998cd3f].
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Model transformation tools. @comment %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% @comment Version control history @comment %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% @comment $Id$ @comment $Log$ @comment Revision 1.9 2002/07/05 13:29:34 geraint @comment Added notes about generating dynamically linked functions for Octave and Matlab. @comment @comment Revision 1.8 2002/07/04 21:34:12 geraint @comment Updated gnuplot view description to describe Tcl/Tk interface instead of obsolete txt method. @comment @comment Revision 1.7 2002/04/23 09:51:54 gawthrop @comment Changed incorrect statement about searching for components. @comment @comment Revision 1.6 2001/10/15 14:29:50 gawthrop @comment Added documentaton on [1:N] style port labels @comment @comment Revision 1.5 2001/07/23 03:35:29 geraint @comment Updated file structure (mtt/bin). @comment @comment Revision 1.4 2001/07/23 03:25:02 geraint @comment Added notes on -ae hybrd, rk4, ode2odes.cc, .oct dependencies. @comment @comment Revision 1.3 2001/07/13 03:02:38 geraint @comment Added notes on #ICD, gnuplot.txt and odes.sg rep. @comment @comment Revision 1.2 2001/07/03 22:59:10 gawthrop @comment Fixed problems with argument passing for CRs @comment @comment Revision 1.1 2001/06/04 08:18:52 gawthrop @comment Putting documentation under CVS @comment @comment Revision 1.66 2000/12/05 14:20:55 peterg @comment Added the c++ anf m CR info. @comment @comment Revision 1.65 2000/11/27 15:36:15 peterg @comment NOPAR --> NOTPAR @comment @comment Revision 1.64 2000/11/16 14:22:48 peterg @comment added UNITS declaration @comment @comment Revision 1.63 2000/11/03 14:41:08 peterg @comment Added PAR and NOPAR stuff @comment @comment Revision 1.62 2000/10/17 17:53:34 peterg @comment Added some simulation details @comment @comment Revision 1.61 2000/09/14 17:13:06 peterg @comment New options table @comment @comment Revision 1.60 2000/09/14 17:09:20 peterg @comment Tidied up valid name sections @comment Tidied up defining represnetations table @comment Verion 4.6 @comment @comment Revision 1.59 2000/08/30 13:09:00 peterg @comment Updated option table @comment @comment Revision 1.58 2000/08/01 13:30:19 peterg @comment Version 4.4 @comment updated STEPFACTOR info @comment describes octave and OCST interfaces @comment @comment Revision 1.57 2000/07/20 07:55:44 peterg @comment Version 4.3 @comment @comment Revision 1.56 2000/05/19 17:49:17 peterg @comment Extended the user defined representation section -- new nppp rep. @comment @comment Revision 1.55 2000/03/16 13:53:31 peterg @comment Correct date @comment @comment Revision 1.54 2000/03/15 21:22:57 peterg @comment Updated to 4.1 -- old style SS no longer supported @comment @comment Revision 1.53 1999/12/22 05:33:10 peterg @comment Updated for 4.0 @comment @comment Revision 1.52 1999/11/23 00:25:11 peterg @comment Added the sensitivity reps @comment @comment Revision 1.51 1999/11/16 04:43:47 peterg @comment Added start of sensitivity section @comment @comment Revision 1.50 1999/11/16 00:30:35 peterg @comment Updated simulation section @comment Added vector components @comment @comment Revision 1.49 1999/07/20 23:44:58 peterg @comment V 3.8 @comment @comment Revision 1.48 1999/07/19 03:08:33 peterg @comment Added documentation for (new) SS lbl fields @comment @comment Revision 1.47 1999/03/09 01:42:22 peterg @comment Rearranged the User interface section @comment @comment Revision 1.46 1999/03/09 01:18:01 peterg @comment Updated for 3.5 including xmtt @comment @comment Revision 1.45 1999/03/03 02:39:26 peterg @comment Minor updates @comment @comment Revision 1.44 1999/02/17 06:52:14 peterg @comment New level formula dor artwork @comment @comment Revision 1.43 1998/11/25 16:49:24 peterg @comment Put in subs.r documentation (was called params.r) @comment @comment Revision 1.42 1998/11/24 12:24:59 peterg @comment Added section on simulation output @comment Version 3.4 @comment @comment Revision 1.41 1998/09/02 12:04:15 peterg @comment Version 3.2 @comment @comment Revision 1.40 1998/08/27 08:36:39 peterg @comment Removed in. methods except Euler anf implicit @comment @comment Revision 1.39 1998/08/18 10:44:28 peterg @comment Typo @comment @comment Revision 1.38 1998/08/18 09:16:38 peterg @comment Version 3.1 @comment @comment Revision 1.37 1998/08/17 16:14:30 peterg @comment Version 3.1 - includes documentation on METHOD=IMPLICIT @comment @comment Revision 1.36 1998/07/30 17:33:15 peterg @comment VERSION 3.0 @comment @comment Revision 1.35 1998/07/22 11:00:53 peterg @comment Correct date! @comment @comment Revision 1.34 1998/07/22 11:00:13 peterg @comment Version to BAe @comment @comment Revision 1.33 1998/07/17 19:32:19 peterg @comment Added more about aliases @comment @comment Revision 1.32 1998/07/05 14:21:56 peterg @comment Further additions (Carlisle-Glasgow) @comment @comment Revision 1.31 1998/07/04 11:35:57 peterg @comment Strarted new lbl description @comment @comment Revision 1.30 1998/07/02 18:39:20 peterg @comment Started 3.0 @comment Added alias and default sections. @comment @comment Revision 1.29 1998/05/19 19:46:58 peterg @comment Added the odess description @comment @comment Revision 1.28 1998/05/14 09:17:22 peterg @comment Added METHOD variable to the simpar file @comment @comment Revision 1.27 1998/05/13 10:03:09 peterg @comment Added unknown/zero SS label documentation. @comment @comment Revision 1.26 1998/04/29 15:12:46 peterg @comment Version 2.9. @comment @comment Revision 1.25 1998/04/12 17:00:26 peterg @comment Added new port features: coerced direction and top-level behaviour. @comment @comment Revision 1.24 1998/04/05 18:27:20 peterg @comment This was the 2.6 version @comment @comment Revision 1.23 1997/08/24 11:17:51 peterg @comment This is the released version 2.5 @comment @comment Revision 1.22 1997/08/23 19:38:53 peterg @comment Added simulation chapter. @comment @comment Revision 1.21 1997/08/23 16:50:10 peterg @comment Added desc section. @comment Included named and vector ports @comment Completed list of representations. @comment @comment Revision 1.20 1997/06/16 15:39:24 peterg @comment THis is the released 2.4 document. @comment @comment Revision 1.19 1997/06/16 09:48:23 peterg @comment Back under revision control (elm) @comment @comment Revision 1.18 1997/06/14 20:27:41 peterg @comment Added complex example section. @comment @comment Revision 1.18 1997/06/13 14:51:07 peterg @comment Added report section @comment @comment Revision 1.17 1997/05/09 15:06:02 peterg @comment Changed to version 2.4. @comment @comment Revision 1.16 1996/12/05 10:06:25 peterg @comment Modified .octaverc : 'true' --> 1 @comment @comment Revision 1.15 1996/11/20 19:02:28 peterg @comment Added some system admin stuff. @comment Added section on simple models. @comment @comment Revision 1.14 1996/11/12 13:19:04 peterg @comment Put paths as section, not subsection. @comment @comment Revision 1.13 1996/11/11 16:53:14 peterg @comment Added params documentation @comment Sorted out table bug. @comment @comment Revision 1.12 1996/11/10 20:29:31 peterg @comment Added section on help -- needs more @comment @comment Revision 1.11 1996/11/09 21:15:28 peterg @comment Rewrite of quick start. @comment Update of file structure. @comment @comment Revision 1.10 1996/11/09 20:25:54 peterg @comment Final v2.0. @comment @comment Revision 1.9 1996/10/01 10:33:02 peter @comment Cleaned up cross references. @comment @comment Revision 1.8 1996/10/01 09:31:00 peter @comment Added sections written in Hong Kong. @comment @comment Revision 1.7 1996/09/16 09:49:47 peter @comment Added ese section @comment @comment Revision 1.6 1996/09/16 08:33:53 peter @comment Added constitutive relationship section etc. @comment @comment Revision 1.5 1996/09/15 20:20:56 peter @comment Added abg and rbg stuff @comment @comment Revision 1.4 1996/08/30 19:07:40 peter @comment Added some admin stuff. @comment @comment Revision 1.3 1996/08/30 07:50:16 peter @comment Added file structure section. @comment @comment Revision 1.2 1996/08/22 14:28:50 peter @comment Added stuff about labels. @comment @comment Revision 1.1 1996/08/22 11:52:59 peter @comment Initial revision @comment %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% @ifinfo This file documents MTT a set of Model Transformation Tools. Copyright (C) Peter J. Gawthrop 1996, 1997, 1998, 1999 Permission is granted to make and distribute verbatim copies of this manual provided the copyright notice and this permission notice are preserved on all copies. @ignore Permission is granted to process this file through TeX and print the results, provided the printed document carries copying permission notice identical to this one except for the removal of this paragraph (this paragraph not being relevant to the printed manual). @end ignore Permission is granted to copy and distribute modified versions of this manual under the conditions for verbatim copying, provided also that the section entitled ``GNU General Public License'' is included exactly as in the original, and provided that the entire resulting derived work is distributed under the terms of a permission notice identical to this one. Permission is granted to copy and distribute translations of this manual into another language, under the above conditions for modified versions, except that the section entitled ``GNU General Public License'' may be included in a translation approved by the author instead of in the original English. @end ifinfo @titlepage @title MTT: Model Transformation Tools @subtitle December 2000 @subtitle For version 4.9. @author Peter Gawthrop @page @vskip 0pt plus 1filll Copyright @copyright{} 1996,1997,1998,1999,2000 Peter J. Gawthrop Permission is granted to make and distribute verbatim copies of this manual provided the copyright notice and this permission notice are preserved on all copies. Permission is granted to copy and distribute modified versions of this manual under the conditions for verbatim copying, provided also that the section entitled ``GNU General Public License'' is included exactly in the original, and provided that the entire resulting derived work is distributed under the terms of a permission notice identical to this one. Permission is granted to copy and distribute translations of this manual into another language, under the above conditions for modified versions, except that the section entitled ``GNU General Public License'' may be included in a translation approved by the author instead of in the original English. General information about MTT is available at URL @example http://mtt.sourceforge.net @end example @ifhtml <A HREF="http://mtt.sourceforge.net"> here</A>. @end ifhtml @end titlepage @ifinfo @node Top, Introduction, (dir), (dir) @top MTT @strong{MTT} is a set of Model Transformation Tools based on bond graphs. @strong{MTT} implements the theory to be found in the book ``Metamodelling: Bond Graphs and Dynamic Systems'' by Peter Gawthrop and Lorcan Smith published by Prentice Hall in 1996 (ISBN 0-13-489824-9). It implements two features not discussed in that book: @itemize @bullet @item bicausal bond graphs and @item hierarchical bond graphs. @end itemize @contents @end ifinfo @c @include intro.texi @c Copyright (C) 1996 Peter J. Gawthrop @c This is part of the MTT manual. @c For copying conditions, see the file MTT.texi. @menu * Introduction:: * User interface:: * Creating Models:: * Simulation:: * Sensitivity models:: * Representations:: * Extending MTT:: * Languages:: * Language tools:: * Administration:: * Glossary:: * Index:: @detailmenu --- The Detailed Node Listing --- Introduction * What is a Representation?:: * What is a Transformation?:: * Bond graphs:: What is a bond graph? * Variables:: * Bonds:: * Components:: * Algebraic loops:: * Switched systems:: Components * Ports:: * Constitutive relationship:: * Symbolic parameters:: * Numeric parameters:: User interface * Menu-driven interface:: * Command line interface:: * Options:: * Utilities:: Utilities * Help:: * Copy:: * Clean:: * Version control:: Help * help representations:: * help components:: * help examples:: * help crs:: * help <name>:: Creating Models * Quick start:: * Creating simple models:: * Creating complex models:: Creating complex models * Top level:: Simulation * Steady-state solutions:: * Simulation parameters:: * Simulation input:: * Simulation logic:: * Simulation initial state:: * Simulation code:: * Simulation output:: Steady-state solutions * Steady-state solutions - numerical(odess):: * Steady-state solutions - symbolic (ss):: Simulation parameters * Euler integration:: * Implicit integration:: * Runge Kutta IV integration:: * Hybrd algebraic solver:: Simulation code * Dynamically linked functions:: Simulation output * Viewing results with gnuplot:: * Exporting results to SciGraphica:: Representations * Representation summary:: * Defining representations:: * Verbal description (desc):: * Acausal bond graph (abg):: * Stripped acausal bond graph (sabg):: * Labels (lbl):: * Description (desc):: * Structure (struc):: * Constitutive Relationship (cr):: * Parameters:: * Causal bond graph (cbg):: * Elementary system equations:: * Differential-Algebraic Equations:: * Constrained-state Equations:: * Ordinary Differential Equations:: * Descriptor matrices:: * Report:: Acausal bond graph (abg) * Language fig (abg.fig):: * Language m (rbg.m):: * Language m (abg.m):: * Language tex (abg.tex):: Language fig (abg.fig) * icon library:: * bonds:: * strokes:: * components:: * Simple components:: * SS components:: * Simple components - implementation:: * Compound components:: * Named SS components:: * Coerced bond direction:: * Port labels:: * Vector port labels:: * Port label defaults:: * Vector components:: * artwork:: * Valid names:: Simple components * SS components:: * Simple components - implementation:: Compound components * Named SS components:: Language m (rbg.m) * Transformation abg2rbg_fig2m:: Language m (abg.m) * Arrow-orientated causality:: * Component-orientated causality:: * Transformation rbg2abg_m:: Stripped acausal bond graph (sabg) * Language fig (sabg.fig):: * Stripped acausal bond graph (view):: Labels (lbl) * SS component labels :: * Other component labels :: * Component names:: * Component constitutive relationship:: * Component arguments:: * Parameter declarations:: * Units declarations:: * Interface Control Definition:: * Aliases:: * Parameter passing:: * Old-style labels (lbl):: Other component labels * Component names:: * Component constitutive relationship:: * Component arguments:: * Aliases:: * Parameter passing:: * Old-style labels (lbl):: Aliases * Port aliases:: * Parameter aliases:: * CR aliases:: * Component aliases:: Old-style labels (lbl) * SS component labels (old-style):: * Other component labels (old-style):: * Parameter passing (old-style):: Description (desc) * Language tex (desc.tex):: Structure (struc) * Language txt (struc.txt):: * Language tex (struc.tex):: * Structure (view):: Constitutive relationship (cr) * Predefined constitutive relationships:: * DIY constitutive relationships:: * Unresolved constitutive relationships:: * Unresolved constitutive relationships - Octave:: * Unresolved constitutive relationships - c++:: Predefined constitutive relationships * lin:: * exotherm:: Parameters * Symbolic parameters (subs.r):: * Symbolic parameters for simplification (simp.r):: * Numeric parameters (numpar):: Numeric parameters (numpar) * Text form (numpar.txt):: Causal bond graph (cbg) * Language fig (cbg.fig):: * Language m (cbg.m):: Language m (cbg.m) * Transformation abg2cbg_m:: Elementary system equations (ese) * Transformation cbg2ese_m2r:: Differential-Algebraic Equations (dae) * Differential-Algebraic Equations (reduce):: * Differential-Algebraic Equations (m):: Language reduce (dae.r) * Transformation ese2dae_r:: Language m (dae.m) * Transformation dae_r2m:: Constrained-state Equations (cse) * Constrained-state Equations (reduce):: * Constrained-state Equations (view):: Language reduce (cse.r) * Transformation dae2cse_r:: Ordinary Differential Equations * Ordinary Differential Equations (reduce):: * Ordinary Differential Equations (m):: * Ordinary Differential Equations (view):: Language reduce (ode.r) * Transformation cse2ode_r:: Language m (ode.m) * Transformation ode_r2m:: Descriptor matrices (dm) * Descriptor matrices (reduce):: * Descriptor matrices (m):: Report (rep) * Report (text):: * Report (view):: Extending MTT * Makefiles:: * New representations:: * Component library :: Languages * Fig:: r * m:: * Reduce:: * c:: Language tools * Views:: * Xfig:: * Text editors:: * Octave:: * LaTeX:: Octave * Octave control system toolbox (OCST):: * Creating GNU Octave .oct files:: * Creating Matlab .mex files:: * Embedding MTT models in Simulink:: Administration * Software components:: * REDUCE setup:: * Octave setup:: * Paths:: * File structure:: Octave setup * .octaverc:: * .oct file dependencies:: Paths * $MTTPATH:: * $MTT_COMPONENTS:: * $MTT_CRS:: * $MTT_EXAMPLES:: * $OCTAVE_PATH:: @end detailmenu @end menu @node Introduction, User interface, Top, Top @chapter Introduction @cindex MTT, purpose of @pindex MTT @strong{MTT} is a set of Model Transformation Tools based on bond graphs. @strong{MTT} implements the theory to be found in the book ``Metamodelling: Bond Graphs and Dynamic Systems'' by Peter Gawthrop and Lorcan Smith published by Prentice Hall in 1996 (ISBN 0-13-489824-9). It implements two features not discussed in that book: @itemize @bullet @item bicausal bond graphs and @item hierarchical bond graphs. @end itemize In the context of software, it has been said that one good tool is worth many packages. UNIX is a good example of this philosophy: the user can put together applications from a range of ready made tools. This manual describes the application of this philosophy to dynamic system modeling embodied in @strong{MTT} - a set of Model Transformation Tools each of which implements a single transformation between system representations. System representations have two attributes. @itemize @bullet @item A Form: e.g. acausal bond graph, differential algebraic, linear state-space etc. @item A Language: e.g. Fig, Matlab, LaTeX, Reduce, postscript etc. @end itemize Transformations in @strong{MTT} are accomplished using appropriate software (e.g. Octave/Matlab, Reduce) encapsulated in UNIX Bourne shell scripts. The relationships between the tools are encoded in a Make File; thus the user can specify a final representation and all the necessary intermediate transformations are automatically generated. @menu * What is a Representation?:: * What is a Transformation?:: * Bond graphs:: What is a bond graph? * Variables:: * Bonds:: * Components:: * Algebraic loops:: * Switched systems:: @end menu @node What is a Representation?, What is a Transformation?, Introduction, Introduction @section What is a representation? @cindex Representations, what are they? @pindex Representations Physical systems have many representations. These include @itemize @bullet @item a schematic diagram, @item a block diagram, @item a bunch of equations, @item a single differential(-algebraic) equation, @item simulation code, @item linearised state-space (or descriptor) equations, @item transfer function (of the linearised system), @item frequency response (of the linearised system), @item etc... @end itemize Each of these representations is related to other representations by an appropriate transformation (@pxref{What is a Transformation?}. In many cases, a modeler is presented with a physical system and needs to make a model. In particular, a model, in this context, is a representation of the system appropriate to a particular use, for example: @itemize @bullet @item simulation, @item control system design, @item optimisation @item etc. @end itemize Indeed, for a given physical system, the modeler would need to derive a number of models. This process can be viewed as a series of steps; each involving a transformation between representations (@pxref{What is a Transformation?}. In this context, the following considerations are relevant. @itemize @bullet @item There is a unique `core' representation of any system. There are many routes from this core representation, each leading to an appropriate model. There are many possible routes to this core representation from the physical system: the route chosen is a matter of convenience. @item Because the core representation is unique, it is easy to expand the tool-box to include additional transformations from the physical system to the core representation and additional transformations from the core representation to the mode. @item Transformation_1 probably cannot, and certainly should not, be completely automated. Engineering insight, knowledge and experience is essential to capture the essence (with respect to the particular use) of the physical system whilst discarding irrelevant form. @item Representation_1 should be `close' in some sense to the Physical system. @item The core representation, and hence the representations leading to it, must contain enough information to generate all of the required models. @item Representations must be easily extensible: it must be possible to add extra components or attributes without restructuring the representation. @end itemize I happen to believe that Bond graphs (@pxref{Bond graphs}) provide the most convenient and powerful basis for the core representation. @node What is a Transformation?, Bond graphs, What is a Representation?, Introduction @comment node-name, next, previous, up @section What is a transformation? @cindex Transformations Each system representation (@pxref{What is a Representation?} is related to other representations by an appropriate transformation as follows: @itemize @bullet @item Physical system @item Transformation_1 ---> Representation_1 @item Transformation_2 ---> Representation_2 @item ... @item Transformation_N ---> Core representation @item Transformation_N+1 ---> Representation_N+1 @item Transformation_N+2 ---> Representation_N+2 @item ... @item Transformation_N+M ---> Model @end itemize Thus modeling is seen as a sequence of transformations between representations. @node Bond graphs, Variables, What is a Transformation?, Introduction @section What is a bond graph? @cindex Bond graphs, what are they? @pindex Bond graphs Bond graphs provide a graphical high-level language for describing dynamic systems in a precise and unambiguous fashion. They make a clear distinction between structure (how components are connected together), and behavior (the particular constitutive relationships, or physical laws, describing each component. They can describe a range of physical systems including: @itemize @bullet @item Electrical systems @item Mechanical systems @item Hydraulic systems @item Chemical process systems @end itemize More importantly, they can describe systems which contain subsystems drawn from all of these domains in a uniform manner. Bond graphs are made up of components (@pxref{Components}) connected by bonds (@pxref{Bonds}) which define the relationship between variables (@pxref{Variables}). @node Variables, Bonds, Bond graphs, Introduction @comment node-name, next, previous, up @section Variables @cindex Variables In bond graph terminology there are four sorts of variables: @itemize @bullet @item @emph{effort} variables @item @emph{flow} variables @item @emph{integrated effort} variables @item @emph{integrated flow} variables @end itemize Examples of @emph{effort} variables are @itemize @bullet @item voltage @item pressure @item force @item torque @item temperature @end itemize Examples of @emph{flow} variables are @itemize @bullet @item current @item volumetric flow rate @item velocity @item angular velocity @item heat flow @end itemize Examples of integrated @emph{flow} variables are @itemize @bullet @item charge @item volume @item momentum @item angular momentum @item heat @end itemize @node Bonds, Components, Variables, Introduction @comment node-name, next, previous, up @section Bonds @cindex Bonds Bonds connect components (@pxref{Components}) together. Each bond carries two variables: @itemize @bullet @item an effort (@pxref{Variables}) variable and @item a flow (@pxref{Variables}) variable. @end itemize Each bond has three notations associated with it: @itemize @bullet @item a half-arrow, @item a causal stroke and @item a causal half-stroke. @end itemize The half-arrow indicates two things: @itemize @bullet @item the direction of power (or pseudo power) flow and @item the side of the bond associated with the flow variable. @end itemize The causal stroke indicates two things: @itemize @bullet @item the effort variable is imposed at the same end as the stroke and @item the flow variable is imposed at the opposite end to the stroke. @end itemize The causal half-stoke indicates one thing: @itemize @bullet @item if it is on the effort side of the bond, the effort variable is imposed at the same end as the stroke or @item if it is on the flow side of the bond, the flow variable is imposed at the opposite end to the stroke. @end itemize @node Components, Algebraic loops, Bonds, Introduction @comment node-name, next, previous, up @section Components @cindex Components Components provide the building blocks of a dynamic system when connected by bonds (@pxref{bonds}). Components have the following attributes: @vtable @code @item ports provide the connections to other components (@pxref{Ports}) @item constitutive relationships define how the port-variables are related (@pxref{Constitutive relationship}) @end vtable @menu * Ports:: * Constitutive relationship:: * Symbolic parameters:: * Numeric parameters:: @end menu @node Ports, Constitutive relationship, Components, Components @comment node-name, next, previous, up @subsection Ports @cindex ports Components have one or more ports. Each port carries two variables, and effort and a flow variable (@pxref{Variables}). Any pair of ports can be connected by a bond (@pxref{Bonds}); this connection is equivalent to saying that the effort variables at each port are identical and that the flow variables at each port are identical. Ports are implemented in @strong{MTT} using named SS components. (@pxref{Named SS components}). The direction of the named SS components. (@pxref{Named SS components}) is coerced (@pxref{Coerced bond direction}) to have the same direction as the bons connected to the corresponding port. Thus the direction of the direction of the named SS components has no significance unless the component is at the top level. @node Constitutive relationship, Symbolic parameters, Ports, Components @comment node-name, next, previous, up @subsection Constitutive relationship @cindex Constitutive Relationship The constitutive relationship of a component defines how the port variables are related. This relationship may be linear or non-linear. This typically contains symbolic parameters (@pxref{Symbolic parameters}) which may be replaced, for the purposes of numerical analysis by numeric parameters (@pxref{Numeric parameters}). @node Symbolic parameters, Numeric parameters, Constitutive relationship, Components @comment node-name, next, previous, up @subsection Symbolic parameters @cindex Symbolic parameters The constitutive relationship of a system component (@pxref{Components}) typically contains symbolic parameters. For example a resistor may have a symbolic resistance r. It is convenient to leave such parameters as symbols when viewing equations or when performing symbolic analysis such as differentiation. However, @strong{MTT} allows replacement of symbolic parameters by numeric parameters (@pxref{Numeric parameters}) when appropriate. @node Numeric parameters, , Symbolic parameters, Components @comment node-name, next, previous, up @subsection Numeric parameters @cindex Numeric parameters Numerical parameters are needed to give specific values to symbolic parameters (@pxref{Symbolic parameters}) for the purposes of numeric analysis; for example: simulation, graph plotting or use within a numerical package such as Octave (@pxref{Octave}). @node Algebraic loops, Switched systems, Components, Introduction @section Algebraic loops @cindex Algebraic loops Following Chapter 3 of the book, algebraic loops appear as under-causal components in the bond graph. It is up to the modeler to indicate how these loops are to be resolved by adding appropriate SS elements. For more information, refer to: ``Metamodelling: Bond Graphs and Dynamic Systems'' by Peter Gawthrop and Lorcan Smith published by Prentice Hall in 1996 (ISBN 0-13-489824-9). @node Switched systems, , Algebraic loops, Introduction @comment node-name, next, previous, up @section Switched systems @cindex Switched systems @cindex Hybrid systems @cindex logic Some systems contain switch-like components. For example an electrical system may contain on-off switches and diodes and a hydraulic system may shut-off valves and non-return valves. Such systems are sometimes called hybrid systems. The modelling an simulation of such systems is the subject of current research. @strong{MTT} implements a simple pragmatic approach to the modelling and simulation of such systems via two new Bond Graph components: @vtable @code @item ISW a switched @code{I} component @item CSW a switched @code{C} component @end vtable These switches are user controlled through the logic representation (@pxref{Simulation logic}). @node User interface, Creating Models, Introduction, Top @comment node-name, next, previous, up @chapter User interface @cindex User interface @pindex User interface There are two user interfaces to @strong{MTT}: a command line interface (@pxref{Command line interface}) and a menu-driven interface (@pxref{Menu-driven interface}). @menu * Menu-driven interface:: * Command line interface:: * Options:: * Utilities:: @end menu @node Menu-driven interface, Command line interface, User interface, User interface @comment node-name, next, previous, up @section Menu-driven interface @cindex Menu-driven interface @pindex Menu-driven interface The Menu-driven interface for @strong{MTT} is invoked as: @example xmtt @end example This will bring up a menu which should be self explanatory :-). Various messages will be echoed in the window from whence @strong{xMTT} was invoked. @node Command line interface, Options, Menu-driven interface, User interface @comment node-name, next, previous, up @section Command line interface @cindex Command line interface @pindex Command line interface The command line interface for @strong{MTT} is of the form: @example mtt [options] <system_name> <representation> <language> @end example @vtable @code @item [options] the (optional) option switches (@pxref{Options}) @item <system_name> the name of the system being transformed @item <representation> the mnemonic for the system representation (@pxref{Representation summary}) @item <language> the mnemonic for language for the representation (@pxref{Languages}) @end vtable for example @example mtt rc rep view @end example creates a view of the report describing system rc and @example mtt rc sm m @end example creates an m file (suitlable for Octave or Matlab) containing state matrices describing the system rc. @node Options, Utilities, Command line interface, User interface @comment node-name, next, previous, up @section Options @cindex Options @strong{MTT} has a number of optional switches to control its operation. These are invoked immediately after `mtt' on the command line; for example: @example mtt -o -s -c syst cbg view @end example invokes the @code{-o}, @code{-s}, and @code{-c} options. The available options are: @vtable @code @item -q quiet mode -- suppress MTT banner @item -A solve algebraic equations symbolically @item -ae <hybrd> solve algebraic equations numerically (this option requires -cc or -oct) @item -D debug -- leave log files etc @item -I prints more information @item -abg start at abg.m representation @item -c c-code generation @item -cc C++ code generation @item -d <dir> use directory <dir> @item -dc Maximise derivative (not integral) causality @item -dc Maximise derivative (not integral) causality @item -i <implicit|euler|rk4> Use implicit, euler or Runge Kutta IVintegration @item -o ode is same as dae @item -oct use oct files in place of m files where appropriate @item -opt optimise code generation @item -p print environment variables @item -partition partition hierachical system @item -r reset time stamp on representation @item -s try to generate sensitivity BG (experimental) @item -ss use steady-state info to initialise simulations @item -stdin read input data from standard input for simulations @item -sub <subsystem> operate on this subsystem @item -t tidy mode (default) @item -u untidy mode (leaves files in current dir) @item -v verbose mode (multiple uses increase the verbosity) @item -viewlevel <N> View N levels of hierachy @item --version print version and exit @item --versions print version of mtt and components and exit @end vtable @node Utilities, , Options, User interface @comment node-name, next, previous, up @section Utilities @cindex Utilities @pindex Utilities @strong{MTT} provides some utilities to help you keep track of model building and to keep things clean and tidy. The commands, and there purpose are: @ftable @code @item mtt help Lists the help/browser commands @item mtt copy <system> Copies the system (ie directory and enclosed files) to the current working directory. @item mtt rename <old_name> <new_name> Renames all of the defining representations (@pxref{Defining representations}) and textually changes each file appropriately. @item mtt <system> clean Remove all files generated by @strong{MTT} associated with system `system'. @item mtt clean Remove all files generated by @strong{MTT} associated with all systems within the current directory. @item mtt system representation vc Apply version control to representation `representation' of system `system'. @item mtt system vc Apply version control to all representations (under version control) system `system'. @end ftable These are described in more detail in the following sections. @menu * Help:: * Copy:: * Clean:: * Version control:: @end menu @node Help, Copy, Utilities, Utilities @comment node-name, next, previous, up @subsection Help @cindex Help @cindex browser @strong{MTT} implements a browser to keep track of all the systems, subsystems and constitutive relationships that you, and others may write. It is invoked in the following ways: @example mtt help representations mtt help components mtt help examples mtt help crs mtt help representations <match_string> mtt help components <match_string> mtt help examples <match_string> mtt help crs <match_string> mtt help <component_or_example_or_CR_name> @end example @menu * help representations:: * help components:: * help examples:: * help crs:: * help <name>:: @end menu @node help representations, help components, Help, Help @comment node-name, next, previous, up @subsubsection help representations @cindex help @cindex representations The command @example mtt help representations @end example lists all of the representations (@pxref{Representations}) available in @strong{MTT}. These may change as the version number of @strong{MTT} increases. The command @example mtt help representations <match_string> @end example lists those representation which contain the string @code{match_string}. This string can be any regular expression (see standard Linux documentation under @code{awk}). For example @example mtt help representations descriptor @end example gives all representations containing the word @code{descriptor}. @node help components, help examples, help representations, Help @comment node-name, next, previous, up @subsubsection help components @cindex help @cindex components The command @example mtt help components @end example lists all of the components (@pxref{Components}) available in @strong{MTT}. These may change as the version number of @strong{MTT} increases. The command @example mtt help components <match_string> @end example lists those component which contain the string @code{match_string}. This string can be any regular expression (see standard Linux documentation under @code{awk}). For example @example mtt help components source @end example gives all components containing the word @code{component}. @node help examples, help crs, help components, Help @comment node-name, next, previous, up @subsubsection help examples @cindex help @cindex examples This command provides a good way to get started in @strong{MTT}. having found an interesting example, copy it to your working directory using @example mtt copy <example_name> @end example (@pxref{Copy}) @example mtt help examples @end example lists all of the examples available in @strong{MTT}. This list will change as more examples are added. The command @example mtt help examples <match_string> @end example lists those component which contain the string @code{match_string}. This string can be any regular expression (see standard Linux documentation under @code{awk}). For example @example mtt help examples pharmokinetic @end example gives all examples containing the word @code{pharmokinetic}. @node help crs, help <name>, help examples, Help @comment node-name, next, previous, up @subsubsection help crs @cindex help @cindex crs The command @example mtt help crs @end example lists all of the constitutive relationships (@pxref{Constitutive relationship}) available in @strong{MTT}. These may change as the version number of @strong{MTT} increases. The command @example mtt help crs <match_string> @end example lists those constitutive relationships which contain the string @code{match_string}. This string can be any regular expression (see standard Linux documentation under @code{awk}). For example @example mtt help crs sin @end example gives all crs containing the word @code{sin}. @node help <name>, , help crs, Help @comment node-name, next, previous, up @subsubsection help <name> @cindex help @cindex <name> The command @example mtt help <name> @end example gives a detailed description of the entity called @code{name}. @node Copy, Clean, Help, Utilities @comment node-name, next, previous, up @subsection Copy @cindex Copy @strong{MTT} provides a way of copying examples to your working directory: @example mtt copy <example_name> @end example Use the command @example mtt help examples @end example (@pxref{help examples}) to find something of interest. Note that components and constitutive relationships are automatically copied when required. @node Clean, Version control, Copy, Utilities @comment node-name, next, previous, up @subsection Clean @cindex Clean @strong{MTT} generates a lot of representations in a number of languages. Some of these you will edit yourself; others can always be recreated by @strong{MTT}. It makes sense, therefore to have a utility that removes all of these other files when you have finished actively working with a particular system. These are two versions: @enumerate @item @code{mtt system clean} @item @code{mtt clean} @end enumerate The first removes all files that can be regenerated with @strong{MTT} associated with system `system'; the second removes all such files associated with all systems in the current working directory. The files which remain after such a clean are the Defining representations (@pxref{Defining representations}). @node Version control, , Clean, Utilities @comment node-name, next, previous, up @subsection Version control @cindex Version control When you are working on a modeling project, it is easy to forget what changes you made to a system and why you made them. Sometimes, you may regret some changes and wish to revert to an earlier version: even if you use .old files this may be difficult to achieve safely. These are very similar problems to those faced by software developers and can be solved in the same way: using version control.@strong{MTT} provides version control using the standard GNU Revision Control System (RCS). This is hidden from the user, but is fully complementary to direct use of RCS (e.g. via emacs vc commands) to the more experienced user who wishes to do so. The only files that you should ever change (i.e. the ones never overwritten by @strong{MTT}) are the Defining representations (@pxref{Defining representations}). All of the files, with the exception of @code{system_abg.fig}, are initially created by @strong{MTT} and contain the RCS header for version control. The @strong{MTT} version control will automatically expand this part of the text to include all change comments that you give it -- so will direct use of RCS (e.g. via emacs vc commands) The @strong{MTT} version commands are as follows: @ftable @code @item mtt system representation vc Apply version control to representation `representation' of system `system'. @item mtt system vc Apply version control to all representations (under version control) system `system'. @end ftable The first is appropriate after you have made a revision to a single file. It will prompt you for a change comment; this will be automatically included in the file header. In addition, enough information will be saved to enable any version to be retrieved via RCS. The second is appropriate to record the state of the entire model. This assumes that all relevant files have been recorded by the first version of the command. Once again, old versions of the entire model can be retrieved using the relevant RCS commands. A subdirectory `RCS' is created to hold this information. You need not bother about the contents, except that you must not delete any files within `RCS'. @node Creating Models, Simulation, User interface, Top @comment node-name, next, previous, up @chapter Creating Models @cindex Creating Models @strong{MTT} helps you to analyse and transform system models -- ultimately the process of capturing the real world in a model is up to you. This chapter discusses the @strong{MTT} aspects of creating a model. For convenience, this is divided into creating simple models and creating complex models. @menu * Quick start:: * Creating simple models:: * Creating complex models:: @end menu @node Quick start, Creating simple models, Creating Models, Creating Models @section Quick start @cindex Quick start @pindex Quick start It is probably worth a quick skim though @strong{MTT} to get a flavour of what it can do before plunging into the detail of the rest of this document. Here is a series of commands to do this. Copy an initial set of files describing the bond graph. @example mtt copy rc @end example @noindent Move to it. @example cd rc @end example @noindent @noindent View the acausal bond graph (the system is called ``rc''). @example mtt rc abg view @end example @noindent View the causal bond graph of the system. @example mtt rc cbg view @end example @noindent View the corresponding ordinary differential equations (ode). @example mtt rc ode view @end example @noindent View the system (output) step response @example mtt rc sro view @end example @noindent An alternative (but more general) way of achieving the same result is @example mtt -c rc odeso view @end example @noindent View the system transfer function @example mtt rc tf view @end example @noindent View the log modulus frequency response of the system. @example mtt rc lmfr view @end example @noindent View the log modulus frequency response of the system for 100 logarithmically spaced frequencies in the range 0.1 to 10 radians per second. @example mtt rc lmfr view 'W=logspace(-1,1,100);' @end example @strong{MTT} has a report generation ((@pxref{Report}) facility which can generate a hypertext description of the system. @example mtt rc rep hview @end example The report contents are specified by the rep representation (@pxref{Report}), in this case the corresponding file is: @example % %% Outline report file for system rc (rc_rep.txt) mtt rc abg tex mtt rc struc tex mtt rc cbg ps mtt rc ode tex mtt rc ode dvi mtt rc sm tex mtt rc tf tex mtt rc tf dvi mtt rc sro ps mtt rc lmfr ps mtt rc odes h mtt rc numpar txt mtt rc input txt mtt -c rc odeso ps mtt rc rep txt @end example A non-hypertext version can be viewed using: @example mtt rc rep view @end example Now have a go at modifying the bond graph. @example mtt rc abg fig @end example This brings up the bond graph in Xfig (@pxref{Xfig}). Try creating a system with two rs and 2 cs. More examples can be found using @example mtt help examples @end example Details of an example can be found using @example mtt help <example_name> @end example and copied using @example mtt copy <example_name> @end example Lots of examples are available. @example mtt help examples @end example lists them and @example mtt copy <name> @end example gets you an example. @ifhtml A number of examples are to be found <A HREF="http://www.mech.gla.ac.uk/~peterg/software/MTT/examples/Examples/Examples.html"> here</A>. @end ifhtml @node Creating simple models, Creating complex models, Quick start, Creating Models @comment node-name, next, previous, up @section Creating simple models @cindex Creating simple models For then purposes of this section, simple models are those which are built up from bond graphs involving predefined components. In contrast, more complex systems (@pxref{Creating complex models}) need to be built up hierarchically. The recommended sequence of steps to create a simple model is: @enumerate @item Decide on a name for the system; let us call it `syst' for the purposes of this discussion. @item Invoke the Bond Graph editor to draw the acausal Bond Graph. @example mtt syst abg fig @end example @item Draw the Bond Graph (@pxref{Language fig (abg.fig)}), including the bonds (@pxref{Bonds}), the components (@pxref{Components}) and any artwork (@pxref{artwork}) to make the Bond Graph more readable. The graphical editor xfig is (@pxref{Xfig}) is self-explanatory. The icon library is helpful here (see @pxref{icon library}). @item Add causal strokes (@pxref{strokes}) where needed to define causality. As a general rule, use the minimum number of strokes needed to define the problem; this will often be only on the @code{SS} components. (@pxref{SS components}). Save the bond graph. @item View the corresponding causal bond graph. @example mtt syst cbg view @end example @enumerate @item At this stage, @strong{MTT} will warn you that the labeled components do not appear in the label file - this can safely be ignored. @item @strong{MTT} will indicate the percentage of components which are causally complete -- ideally this will be 100\%. Components which are not causally complete will be listed. @item A view of the causal bond graph will be created. The added causal strokes are indicated in blue, undercausal components in green and overcausal components in red. @item If the bond graph is causally complete, proceed to the next step, otherwise think hard and return to the first step. @end enumerate @item At this stage, no constitutive relationships have been defined. Nevertheless, @strong{MTT} will proceed in a semi-qualitative fashion by assuming that all constitutive relationships are unity (and therefore linear). It may be useful at this stage to view various derived representations to check the overall model properties before proceeding further. For example: @enumerate @item View the system Differential-algebraic equations @example mtt syst dae view @end example @item View the system state matrices @example mtt syst sm view @end example @item View the system transfer function @example mtt syst tf view @end example @item View the system step response @example mtt syst sro view @end example @end enumerate @item As well as creating the causal bond graph, @strong{MTT} has also generated templates for other text files (@pxref{Defining representations}) used to further specify the system. These can now be edited using your favorite text editor (@pxref{Text editors}). @item @strong{MTT} will now generate the representations (@pxref{Representation summary})that you desire. For example the system can be simulated by @example mtt syst odeso view @end example @strong{MTT} will complain if a component is named in the bond graph but not in the label file and vice versa. This mainly to catch typing errors. @end enumerate @node Creating complex models, , Creating simple models, Creating Models @comment node-name, next, previous, up @section Creating complex models @cindex Creating complex models Complex models -- in distinction to simple models (@pxref{Creating simple models}) -- have a hierarchical structure. In particular, bond graph components can be created by specifying their bond graph. Typically, such components will have more than one port (@pxref{Ports}); within each component, ports are represented by named SS components (@pxref{Named SS components}); outwith each component, ports are unambiguously identified by labels (@pxref{Port labels}) and vector labels (@pxref{Vector port labels}). Complex models are thus created by conceptually decomposing the system into simple subsystems, and then creating the corresponding bond graphs. The procedure for simple systems (@pxref{Creating simple models}) is then followed using the top level system (@pxref{Top level}); @strong{MTT} then recursively operates on the lower level systems. The report representation (@pxref{Report}) provides a convenient way of viewing a complex system. An example of such a system can be created as follows: @example mtt copy twolink mtt twolink rep hview @end example @ifhtml The result is <A HREF="./examples/twolink/twolink_rep/twolink_rep.html"> here</A>. @end ifhtml @menu * Top level:: @end menu @node Top level, , Creating complex models, Creating complex models @comment node-name, next, previous, up @subsection Top level @cindex Top level The top level of a complex model contains subsystems but is not, itself, contained by other systems. It has the following special features: @itemize @bullet @item its name is used in the mtt command as the system name. @item all named SS componenents (@pxref{Named SS components}) are treated as ordinary SS components (@pxref{SS components}). @end itemize @c node next prev up @node Simulation, Sensitivity models, Creating Models, Top @chapter Simulation @cindex Simulation @pindex Simulation One purpose of modelling is to simulate the modeled dynamic system. Although this is just another transformation (@pxref{What is a Transformation?}) and therefore is covered in the appropriate chapter (@pxref{Representations}), it is important enough to be given its own chapter. Simulation is typically performed using an appropriate simulation language (which is often inappropriately conflated with modelling tools). @strong{MTT} provides a number of alternative routes to simulation based on the following representations (@pxref{Representations}): @ftable @code @item cse constrained-state differential equation form @item ode ordinary differential (or state-space) equations @c @item dae @c differential-algebraic (or generalised state-space) equations -- @c these may be linear or nonlinear. @end ftable in each case these equations may be linear or nonlinear. Special cases of numerical simulation, appropriate to @emph{linear} systems, are: @ftable @code @item ir impulse response - state @item iro impulse response - output @item sr impulse response - state @item sro impulse response - output @end ftable There are a number of languages (@pxref{Languages}) which can be used to describe these representations for the purposes of numerical simulation: @ftable @code @item m @code{octave} a high-level interactive language for numerical computation. @item c @code{gcc} a c compiler. @item cc @code{g++} a C++ front-end to gcc. @end ftable There are a number solution algorithms available: @itemize @bullet @item explicit solution via the matrix exponential @item backward Euler integration (explicit) @item forward Euler integration (implicit) @item Runge Kutta IV integration (explicit, fixed step) @item Hybrd algebraic solver (MINPACK, Octave fsolve) @c @item @c LSODE (Hindmarsh's ODE solver as implemented in Octave) @c @item @c DASSL (Petzold's DAE solver as implemented in Octave) (Unavailable just now) @end itemize However, all combinations of representation, language and solution method are not supported by @strong{MTT} at the moment. Given a system `system', some recommended commands are: @ftable @code @item mtt system iro view creates the impulse response of a @emph{linear} system via the system_sm.m representation using explicit solution via the matrix exponential. @item mtt system sro view creates the step response of a @emph{linear} system via the system_sm.m representation using explicit solution via the matrix exponential. @c @item mtt system odeso view @c creates the step response of a @emph{nonlinear} system via the @c system_ode.m representation using either METHOD=Euler or @c METHOD=LSODE in the parameter file (@pxref{Simulation parameters}). @item mtt -c system odeso view creates the response of a @emph{nonlinear} system via the system_ode.c representation using implicit integration. @item mtt -c -i euler system odeso view creates the response of a @emph{nonlinear} system via the system_ode.c representation using euler integration. @end ftable Simulation parameters are described in the system_simpar.txt file (@pxref{Simulation parameters}). The steady-state solution of a system can also be ``simulated''(@pxref{Steady-state solutions}). @menu * Steady-state solutions:: * Simulation parameters:: * Simulation input:: * Simulation logic:: * Simulation initial state:: * Simulation code:: * Simulation output:: @end menu @node Steady-state solutions, Simulation parameters, Simulation, Simulation @comment node-name, next, previous, up @section Steady-state solutions @cindex Steady-state solutions @menu * Steady-state solutions - numerical(odess):: * Steady-state solutions - symbolic (ss):: @end menu @node Steady-state solutions - numerical(odess), Steady-state solutions - symbolic (ss), Steady-state solutions, Steady-state solutions @comment node-name, next, previous, up @subsection Steady-state solutions (odess) @cindex Steady-state solutions - numerical @strong{MTT} can compute the steady-state solutions of an ordinary differential equation; this used the octave function `fsolve'. The solution is computed as a function of time using the input specified in the input file. The simulation parameter file (@pxref{Simulation parameters}) is used to provide the time scales. For example @example mtt copy rc cd rc mtt rc odess view @end example @node Steady-state solutions - symbolic (ss), , Steady-state solutions - numerical(odess), Steady-state solutions @comment node-name, next, previous, up @subsection Steady-state solutions (ss) @cindex Steady-state solutions - symbolic A rudimentary form of steady-state solution exists in mtt. The steady states and inouts are supplied by the user in the file system_simpar.r and the corresponding output and sate derivative computed by @strong{MTT} using @example mtt system ss view @end example For example @example mtt copy rc cd rc mtt rc sspar view mtt rc ss view @end example @node Simulation parameters, Simulation input, Steady-state solutions, Simulation @comment node-name, next, previous, up @section Simulation parameters @cindex Simulation parameters Simulation parameters are set in the system_simpar.txt file. At the moment this sets the following variables: @itemize @bullet @item LAST the last simulation time @item DT the incremental time (for plotting) @item STEPFACTOR the number of integration steps per DT -- thus the integration interval is DT/STEPFACTOR @c ; for sparse implicit integration (@pxref{Sparse @c implicit integration}) the number of conjugate-gradient minimisation @c steps. @c @item METHOD @c The integration methods available appear in the following table @item WMIN Minimum frequency = 10^WMIN @item WMAX Maximum frequency = 10^WMAX @item WSTEPS Number of Frequency steps. @item INPUT The input index for frequency response @end itemize There are a number of solution algorithms @itemize @bullet @item Euler basic Euler integration (@pxref{Euler integration}). This method is simple, but not recommended for stiff systems. @item Implicit semi-implicit integration (@pxref{Implicit integration}) - uses the smx representation to give stability. @item Runge Kutta IV fixed step Runge Kutta fourth order integration (@pxref{Runge Kutta IV integration}). @item Hybrd numerical algebraic equation solver @c @item ImplicitS @c Sparse semi-implicit integration (@pxref{Sparse implicit integration}) @c -- takes advantage of the sparsity of the A matrix. @c @item LSODE @c the variable step-size method that comes with Octave (@pxref{Octave}). @end itemize @menu * Euler integration:: * Implicit integration:: * Runge Kutta IV integration:: * Hybrd algebraic solver:: @end menu @node Euler integration, Implicit integration, Simulation parameters, Simulation parameters @comment node-name, next, previous, up @subsection Euler integration @cindex Euler integration Euler integration approximates the solution of the Ordinary Differential Equation @example dx/dt = f(x,u) @end example by @example x := x + f(x,u)*DDT @end example where @example DDT = DT/STEPFACTOR @end example If the system is linear, stability is ensured if the integer STEPFACTOR is chosen to be greater than the real number @example (maximum eigenvalue of -A)*DT/2 @end example where A is the nxn matrix appearing in @example f(x,u) = Ax + Bu @end example If the system is non linear, the linearised system matrix A should act as a guide to the choice of STEPFACTOR. @node Implicit integration, Runge Kutta IV integration, Euler integration, Simulation parameters @comment node-name, next, previous, up @subsection Implicit integration @cindex Implicit integration Implicit integration approximates the solution of the Ordinary Differential Equation @example dx/dt = f(x,u) @end example by @example (I-A*DT)x := (I-A*DT)x + f(x,u)DT @end example where A is the linearised system matrix. This implies the solution of N (=number of states) linear equations at each sample interval. The OCTAVE version used the `\' operator to solve the set of linear equations, the C version uses LU decomposition. If the system is linear, stability is ensured unconditionaly. If the system is non-linear, then the method still works well. This method is nice in that choice of DT trades of accuracy against computation time without compromising stability. In addition, the correct stready-state values are achieved. This approach can also be used for constrained state equations of the form: @example E(x) dx/dt = f(x,u) @end example where E(x) is a state-dependent matrix. The approximate solution is then given by: @example (E(x)-A*DT)x := (E(x)-A*DT)x + f(x,u)DT @end example which reduces to the ordinary differential equation case when E(x)=I. The _smx representation includes the E matrix. @node Runge Kutta IV integration, Hybrd algebraic solver, Implicit integration, Simulation parameters @comment node-name, next, previous, up @subsection Runge Kutta IV integration Runge Kutta IV approximates the solution of the Ordinary Differential Equation @example dx/dt = f(x,t) @end example by @example x := x + (DT/6)*(k1 + 2*k2 + 2*k3 + k4) @end example where @example k1 := f(x,t) k2 := f(x+(1/2)*k1,t+(1/2)*DT) k3 := f(x+(1/2)*k2,t+(1/2)*DT) k4 := f(x+k3,t+DT) @end example The @strong{MTT} implementation of Runge-Kutta integration is a fourth order, fixed-step, explicit integration method. For some systems of equations, the increased accuracy of using a fourth order method can allow larger step-lengths to be used than would allowed by the lower order Euler integration method. It should be noted that during the interemediate calculations (k1...k4), the input vector @code{u} is not advanced w.r.t. time; the system inputs are assumed to be constant over the period of the integration step-length. @node Hybrd algebraic solver, , Runge Kutta IV integration, Simulation parameters @comment node-name, next, previous, up @subsection Hybrd algebraic solver The hybrd algebraic solver of @uref{http://www.netlib.org/minpack/hybrd.f,MINPACK}, which is used by Octave in the @code{fsolve} routine, may be used in conjunction with one of the other integration methods to solve semi-explicit, index 1, differential algebraic equations; these may be generated in @strong{MTT} models by use of @code{unknown} SS Components @pxref{SS component labels}. This method requires that compiled simulation code is used; either -cc or -oct. To perform a simulation based on a model @code{sys}, @example mtt -cc -ae hybrd -i euler sys odeso view @c XXX: should be daeso view? @end example @strong{MTT} will attempt to minimise the residual error at each integration time-step using the hybrd routine. This method of simulation is particularly well suited to stiff systems where very fast dynamics are of little interest. Care must be taken to ensure that an acceptable level of convergence is achieved by the solver for the system under investigation. @c XXX: tolerance option @c @node Sparse implicit integration, , Implicit integration, Simulation parameters @c @comment node-name, next, previous, up @c @subsection Sparse implicit integration @c @cindex Sparse implicit integration @c This is an experimental approach for large (N>50) systems. @c Implicit integration (@pxref{Implicit integration}) requires the @c solution of N linear equations at each step. This is an O(N^3) operation @c which can be time consuming for large (N>50) systems. However, the A @c matrix (and hence the (I-A*DT) matrix) is often sparse - most elements @c are zero. @c This method uses a conjugate-gradient optimisation method to solve the @c linear equations @c @example @c (I-A*DT)x := (I-A*DT)x + f(x,u)DT @c @end example @c by recasting them as the minimisation of the quadratic function @c @example @c [(I-A*DT)x_new - (I-A*DT)x_old + f(x,u)DT]^2 @c @end example @c with respect to x_new. This is solved by the conjugate gradient method. @c MTT generates two representations _smxx.m and _smxtx to compute @c (I-A*DT)x and (I-A*DT)'x respectively making full use of the sparsity of @c the (I-A*DT) matrices to speed up the minimisation procedure. @c A fixed number of iterations (STEPFACTOR) are used in each optimisation @c to give a fixed simulation time. This must be chosen by the user, but @c between 5N and 10N seems ok. Note that the initial value of the @c optimisation is x_old. @node Simulation input, Simulation logic, Simulation parameters, Simulation @comment node-name, next, previous, up @section Simulation input @cindex Simulation input This is defined in the system_input.txt file. A default file is created automatically by @strong{MTT}. This is done explicitly by @example mtt system input txt @end example If the file already exists, the same command checks that all inputs are defined and that all defined inputs exist in the system and promts the user to correct discrepancies. Inputs are defined by the full system name appearing in the structure file (@pxref{Structure (struc)}). They can depend on states (again defined by name), time (defined by t) and parameters For example: @example system_pump_l_1_u = 4e5*atm; system_pump_r_1_u = 4e5*(t<10)*atm; system_ss_i = 0*kg; system_ss_o = 3e-3*kg; system_v_1_u = (t>10); system_v_ll_1_u = 1; system_v_lr_1_u = (t<10); system_v_ul_1_u = 0; system_v_ur_1_u = (t>10); @end example @node Simulation logic, Simulation initial state, Simulation input, Simulation @comment node-name, next, previous, up @section Simulation logic @cindex Simulation logic This is defined in the system_logic.txt file. A default file is created automatically by @strong{MTT}. This is done explicitly by @example mtt system logic txt @end example If the file already exists, the same command checks that the logic corresponding to all switch states (@pxref{Switched systems}) are defined and that all defined logic exists in the system and promts the user to correct discrepancies. Logical inputs are defined by the full system name corresponding to MTT_switch components appearing in the structure file (@pxref{Structure (struc)}) @emph{with `_logic' appended}. They can depend on states (again defined by name), time (defined by t) and parameters For example: @example bounce_ground_1_mtt_switch_logic = bounce_intf_1_mtt3<0; @end example @node Simulation initial state, Simulation code, Simulation logic, Simulation @comment node-name, next, previous, up @section Simulation initial state @cindex Simulation initial state This is defined in the system_state.txt file. A default file is created automatically by @strong{MTT}. This is done explicitly by @example mtt system state txt @end example If the file already exists, the same command checks that all states are defined and that all defined states exist in the system and prompts the user to correct discrepancies. States are defined by the full system name appearing in the structure file (@pxref{Structure (struc)}). They can depend on parameters. For example @example system_c_l = (1e4/k_l)/kg; system_c_ll = (1e4/k_s)/kg; system_c_lr = (1e4/k_s)/kg; system_c_u = (1e4/k_l)/kg; @end example @c The initial state of a simulation of is set in the @code{state} @c representation with the language @code{txt}. @c As usual, @strong{MTT} defaults this for you. There are two @c possibilities @c @itemize @bullet @c @item @c The -ss switch is not present: the states default to zero @c @item @c The -ss switch is present: the states default to those set in the @c sspar.r file. @c @end itemize @node Simulation code, Simulation output, Simulation initial state, Simulation @comment node-name, next, previous, up @section Simulation code simulation code can be generated by @strong{MTT} in the form of the @code{ode2odes} transformation. This can be produced in a number of languages, including .m, .oct, C and C++ @pxref{Languages}. To generate simulation code in C: @example mtt -c [options] sys ode2odes c @end example Similarly, to generate C++ code: @example mtt -cc [options] sys ode2odes cc @end example To generate an executable based on the C++ representation: @example mtt -cc [options] sys ode2odes exe @end example @menu * Dynamically linked functions:: @end menu @node Dynamically linked functions, , Simulation code, Simulation code @comment node-name, next, previous, up @subsection Dynamically linked functions Some model representations can be compiled into dynamically loaded code (shared objects) which are compiled prior to use in other modelling and simulation environments; in particular, .oct files can be generated for use in GNU Octave (@pxref{Creating GNU Octave .oct files}) and .mex files can be generated for use in Matlab (@pxref{Creating Matlab .mex files}) or Simulink (@pxref{Embedding MTT models in Simulink}). The use of compiled (and possibly compiler-optimised) code can offer significant processing speed advantages over equivalent interpreted functions (e.g. .m files) for computationally intensive procedures. The C++ code generated by @strong{MTT} allows the same code to be generated as standalone code, Octave .oct files or Matlab .mexglx files. Although @strong{MTT} usually takes care of the compilation options, if it is necessary to compile the code on a machine on which @strong{MTT} is not installed, the appropriate flag should be passed to the compiler pre-processor: @itemize @bullet @item @code{-DCODEGENTARGET=STANDALONE} @item @code{-DCODEGENTARGET=OCTAVEDLD} @item @code{-DCODEGENTARGET=MATLABMEX} @end itemize @node Simulation output, , Simulation code, Simulation @comment node-name, next, previous, up @section Simulation output @cindex Simulation output The view (@pxref{Views}) representation provides a graphical representation of the results of a simulation; the postscript language provides the same thing in a form that can be included in a document. These are two simulation output representations @ftable @code @item odes ordinary differential equation solution (states) @item odeso ordinary differential equation solution (output) @end ftable Particular output variables can be selected by adding a fourth argument in one of 2 forms @ftable @code @item 'name1;name2;..;namen' plot the variables with names na1 .. namen against time @item 'name1:name2' plot the variable with name2 against that with name 1 @end ftable An example of plotting a single variable against time is: @example mtt -o -c -ss OttoCycle odeso ps 'OttoCycle_cycle_V' @end example An example of plotting one variable against another is: @example mtt -o -c -ss OttoCycle odeso ps 'OttoCycle_cycle_V:OttoCycle_cycle_P' @end example @menu * Viewing results with gnuplot:: * Exporting results to SciGraphica:: @end menu @node Viewing results with gnuplot, Exporting results to SciGraphica, Simulation output, Simulation output @comment node-name, next, previous, up@subsection @subsection Viewing results with gnuplot @cindex gnuplot Simulation plots may be conveniently selected, viewed with @uref{http://www.gnuplot.org,gnuplot} and saved to file (in PostScript format) using the command @example mtt [options] rc gnuplot view @end example This will cause a menu to be displayed, from which states and outputs may be selected for viewing. Clicking on a @emph{parameter name} will cause a new window to be opened displaying the time history of the selected parameter. Selecting the @emph{print} option in the main window provides the option of saving to file a plot of the last selected parameter. Clicking on the @emph{title bar} of the main window (``Outputs'' or ``States'') will alter the order in which the parameter names are displayed. It should be noted that unlike other representations, if a simulation has been previously run in a directory, this command will @emph{not} cause @strong{MTT} to re-run a simulation, even if any of the input files have been changed. If it is desired to re-run a simulation, it is advisable to run the command @example mtt [options] rc odeso view ; mtt [options] rc gnuplot view @end example As with @strong{xMTT} (@pxref{Menu-driven interface}), the Wish Tcl/Tk interpreter must be installed to make use of this feature. @node Exporting results to SciGraphica, , Viewing results with gnuplot, Simulation output @comment node-name, next, previous, up @subsection Exporting results to SciGraphica @cindex SciGraphica Simulation results can be converted into an XML-format @uref{http://scigraphica.sourceforge.net,SciGraphica} (version 0.61) @emph{.sg} file with the command @example mtt [options] sys odes sg @end example The SciGraphica file will contain two worksheets, X_sys and Y_sys, containing the state and output time-histories from the simulation. @c node next prev up @node Sensitivity models, Representations, Simulation, Top @chapter Sensitivity models @cindex Sensitivity models @pindex Sensitivity models The sensitivity model of a system is a set of equations giving the sensitivity of the system outputs with respect to system parameters. @strong{MTT} has built in methods for assisting with the development of such models. This feature is experimental at the moment, but the following example gives an idea of what can be achieved. @example mtt copy rc cd rc mtt -s src ode view mtt -s src odeso view @end example The sensitivity system src is automatically created from the system rc using the predefined sR and sC components together with vector junctions (@pxref{Vector components}). The four outputs are the two system outputs plus the two sensitivity functions. An alternative route is to create the sensitivity functions by symbolic differentiation. The following sensitivity representations are available: @ftable @code @item scse sensitivity constrained-state equations @item sm sensitivity state matrices @item scsm sensitivity constrained-state matrices @end ftable @c node next prev up @node Representations, Extending MTT, Sensitivity models, Top @chapter Representations @cindex Representations @pindex Representations @cindex Defining representations @cindex Representations, defining As discussed in @ref{What is a Representation?}, a system has many representations. The purpose of @strong{MTT} is to provide an easy way to generate such representation by applying the appropriate sequence of transformations. The representations supported by @strong{MTT} are summarised in @ref{Representation summary}. There is a two-fold division of representations into those with which the user defines the system and its various attributes, and those which are derived from these. The @emph{defining representations} are listed in @ref{Defining representations}. Each representation is implemented in one or more languages depending on its use. These languages are discussed in @ref{Languages} and are associated with appropriate tools for modifying or viewing the representations. @menu * Representation summary:: * Defining representations:: * Verbal description (desc):: * Acausal bond graph (abg):: * Stripped acausal bond graph (sabg):: * Labels (lbl):: * Description (desc):: * Structure (struc):: * Constitutive Relationship (cr):: * Parameters:: * Causal bond graph (cbg):: * Elementary system equations:: * Differential-Algebraic Equations:: * Constrained-state Equations:: * Ordinary Differential Equations:: * Descriptor matrices:: * Report:: @end menu @node Representation summary, Defining representations, Representations, Representations @comment node-name, next, previous, up @section Representation summary @cindex Representation summary Some of the the representations available in @strong{MTT} are (in alphabetical order): @ftable @code @item abg acausal bond graph @item cbg causal bond graph @item cr constitutive relationship for each subsystem @item cse constrained-state equations @item csm constrained-state matrices @item dae differential-algebraic equations @item daes dae solution - state @item daeso dae solution - output @item def definitions - system orders etc. @item desc Verbal description of system @item dm descriptor matrices @item ese elementary system equations @item fr frequency response @item input numerical input declaration @item ir impulse response - state @item iro impulse response - output @item lbl label file @item lmfr loglog modulus frequency response @item lpfr semilog phase frequency response @item nifr Nichols style frequency response @item numpar numerical parameter declaration @item nyfr Nyquist style frequency response @item obs observer equations for CGPC @item ode ordinary differential equations @item odes ode solution - state @item odes ODE simulation header file @item odeso ode solution - output @item odess ode numerical steady-states - states @item odesso ode numerical steady-states - outputs @item rbg raw bond graph @item rep report @item rfe robot-form equations @item sabg stripped acausal bond graph @item simp simplification information @item sm state matrices @item smx state matrices containing explicit states and inputs @item sms ode @item smss SM simulation header file @item sr step response - state @item sro step response - output @item ss steady-state equations @item sspar steady-state definition @item struc structure - list of inputs, outputs and states @item sub Executable subsystem list @item sub LaTeX subsystem list @item sympar symbolic parameters @item tf transfer function @end ftable A complete list can be found via the @code{help representations} command (@pxref{help representations}). Many of these representations have more than one language (@pxref{Representations}) associated with them. Some of these representations define the system (@pxref{Defining representations}). @node Defining representations, Verbal description (desc), Representation summary, Representations @comment node-name, next, previous, up @section Defining representations @cindex Defining representations The following representations define the system and therefore must, ultimately, be defined by the user. However, all of these are assigned default values by @strong{MTT} and may then be subsequently edited (@pxref{Text editors}) viewed or operated on by the appropriate tools (@pxref{Language tools}). @vtable @code @item system_abg.fig the acausal bond graph (@pxref{Acausal bond graph (abg)}) @item system_lbl.txt the label file (@pxref{Labels (lbl)}) @item system_desc.tex the description file (@pxref{Description (desc)}) @item system_simp.r algebraic simplifications to make output more readable (@pxref{Symbolic parameters for simplification (simp.r)}) @item system_subs.r algebraic substitutions to resolve, eq trig. identities (@pxref{Symbolic parameters (subs.r)}) @item system_simpar.txt simulation parameters (@pxref{Simulation parameters}) @item system_numpar.txt numerical parameters (@pxref{Numeric parameters (numpar)}) @item system_input.txt the system input for simulations (@pxref{Simulation input}) @item system_logic.txt the switching logic for simulations (@pxref{Simulation logic}) @item system_sspar.r defines the system steady-state (@pxref{Steady-state solutions - symbolic (ss)}) @end vtable @node Verbal description (desc), Acausal bond graph (abg), Defining representations, Representations @comment node-name, next, previous, up @section Verbal description (desc) @cindex Verbal description (desc) Systems can be documented in LaTeX using the _desc.tex file. This file is included in the report (@pxref{Report}) if the abg tex option is included in the rep.txt file. As usual, @strong{MTT} provides a default text file to be edited by the user (@pxref{Text editors}). @c node next prev up @node Acausal bond graph (abg), Stripped acausal bond graph (sabg), Verbal description (desc), Representations @section Acausal bond graph (abg) @cindex Acausal bond graph (abg) @pindex Acausal bond graph (abg) The acausal bond graph is the main input to @strong{MTT}. It is up to you, as a system modeler, to distill the essential aspects of the system that you wish to model and capture this information in the form of a bond graph. The inexperienced modeler may wish to look in one of the standard textbooks and copy some bond graphs of systems to get going. To create the acausal bond graph of system `sys' in language fig type: @example mtt sys abg fig @end example To create the acausal bond graph of system `sys' in language m type: @example mtt sys abg m @end example To view the acausal bond graph of system `sys' type: @example mtt sys abg view @end example @menu * Language fig (abg.fig):: * Language m (rbg.m):: * Language m (abg.m):: * Language tex (abg.tex):: @end menu @node Language fig (abg.fig), Language m (rbg.m), Acausal bond graph (abg), Acausal bond graph (abg) @subsection Language fig (abg.fig) @cindex Language fig (abg.fig) @pindex Language fig (abg.fig) A bond graph is made up of: @ftable @code @item bonds To connect components together. @item strokes To indicate causality. @item components Either simple or compound. @item artwork Irrelevant to the system but useful to the user. @end ftable An icon library of bonds, components and other symbols is available within xfig (@pxref{icon library}). @menu * icon library:: * bonds:: * strokes:: * components:: * Simple components:: * SS components:: * Simple components - implementation:: * Compound components:: * Named SS components:: * Coerced bond direction:: * Port labels:: * Vector port labels:: * Port label defaults:: * Vector components:: * artwork:: * Valid names:: @end menu @node icon library, bonds, Language fig (abg.fig), Language fig (abg.fig) @subsubsection Icon library @cindex Icon @cindex library A number of predefined iconic symbols are available within xfig. @example Click onto the library icon Click onto the library pull-down menu and select BondGraph Select iconic symbols from the presented list @end example @node bonds, strokes, icon library, Language fig (abg.fig) @subsubsection Bonds @cindex bonds @pindex bonds Bonds are represented by polylines with two segments. They must be the default style (i.e. plain not dashed or dotted). The shortest segment is taken to be the half-arrow. its positioning is significant because: @itemize @bullet @item It points in the direction of power flow; thus a bond normally points towards C, I and R components. @item the corresponding side of the bond indicates flow causality; the other side represents effort causality. This is significant when using casual half-strokes (@pxref{strokes}). Please adopt the convention of having the half-arrows below horizontal bonds and to the right of vertical bonds. @end itemize @c node next prev up @node strokes, components, bonds, Language fig (abg.fig) @subsubsection Strokes @cindex strokes @pindex strokes Causal strokes are represented by single-segment polylines. There are two sorts of strokes: @itemize @bullet @item @emph{Full} strokes: these are the usual bond-graph strokes and determine both the effort and flow causality in the usual way. The @emph{centre} of the stroke should be at about one end of the bond and be at right angles to it. @item @emph{Half} strokes: these are an innovation in @strong{MTT} and allow you to specify the effort and flow causality independently. The @emph{end} of the stroke should be at about one end of the bond and be at right angles to it. If the causal half-stroke is on the @emph{same} side as the half-arrow (@pxref{bonds}) then it determines @emph{flow} causality; if, on the other hand, it is on the @emph{opposite} side to the half-arrow (@pxref{bonds}) then it determines @emph{effort} causality. Two half strokes on the @emph{same}, but on @emph{opposite} sides of the bond are equivalent to a a full stroke at the same end of the bond. @end itemize @strong{MTT} is reasonably forgiving; but a neat diagram will be less ambiguous to you as well as to @strong{MTT}. Causality is indicated as follows: @itemize @bullet @item @emph{Effort} is imposed at the @emph{same} end as the stroke. @item @emph{Flow} is imposed at the @emph{opposite} end as the stroke. @end itemize @c node next prev up @node components, Simple components, strokes, Language fig (abg.fig) @subsubsection Components @cindex components @pindex components Components are represented by a text string in fig. The recommended style is: 20pt, Times-Roman and centre justified. The component text string can be of the following forms: @ftable @code @item type Just the type of the component is indicated. Components may be either Simple components (@pxref{Simple components}) or Compound components (@pxref{Compound components}). For example: @example R @end example @item type:label Both the type and the label of the component are given. The type must be a valid name (@pxref{Valid names}.The name provides a link to more information to be found in @xref{Labels (lbl)}. For example: @example R:r @end example @item type:label:cr Not only are the type and the label of the component given, but also the component cr argument. The type must be a valid name (@pxref{Valid names}.The name provides a link to more information to be found in @xref{Labels (lbl)}. For example: @example R:r:flow,r @end example @item type:label:expression Expression is a mathematical expression relating the effort (called mtt_e) to the flow (called mtt_f). For example the following three forms are equivalent @example R:r:mtt_e=r*mtt_f R:r:mtt_e-r*mtt_f=0 R:r:mtt_f=mtt_e/r @end example A non-linear example is: @example R:r:mtt_e = sin(mtt_f) @end example @item type*n The name, together with the number @samp{n} of repetitions of the component, are given. This repetition only makes sense if the component has an even number of ports (@pxref{Port labels}); n copies of the component are concatenated with odd Named ports (@pxref{Port labels}) of the component being connected to the even Named ports of the previous component in the chain in numerical order. This feature is particularly useful if the component is compound and can be used for, example to give a lumped approximation of a distributed system. For example: @example MySystem*25 @end example @item type:label*n This complete form and is a combination of the simpler forms. For example: @example MySystem:MyLabel*25 @end example @end ftable @node Simple components, SS components, components, Language fig (abg.fig) @comment node-name, next, previous, up @subsubsection Simple components @cindex Simple components The following simple components are defined in MTT. @ftable @code @item R Standard one-port R @item C Standard one-port I @item I Standard one-port I @item SS Source-sensor @item TF Transformer @item GY Gyrator @item AE Effort amplifier @item AF Flow amplifier @item CSW Switched one-port I @item ISW Switched one-port I @end ftable @menu * SS components:: * Simple components - implementation:: @end menu @node SS components, Simple components - implementation, Simple components, Language fig (abg.fig) @comment node-name, next, previous, up @subsubsection SS components @cindex SS components @iftex $$ @end iftex @code{SS} components provide input and output variables for a system; Named SS components (@pxref{Named SS components}) provide this for subsystems. @node Simple components - implementation, Compound components, SS components, Language fig (abg.fig) @comment node-name, next, previous, up @subsubsection Simple components - implementation @cindex Simple components - implementation Each simple component, with name NAME, is defined by two m files: @ftable @code @item NAME_cause.m defines the possible causal patterns for the component @item NAME_eqn.m defines the equations generated @end ftable Only the experienced user would normally define simple components - Compound components (@pxref{Compound components}) are recommended for DIY components. @node Compound components, Named SS components, Simple components - implementation, Language fig (abg.fig) @comment node-name, next, previous, up @subsubsection Compound components @cindex Compound components @cindex Named SS Compound components are systems described by bond graphs and implemented by MTT. They have special SS components, Named SS components (@pxref{Named SS components}), to indicate connections to the encapsulating system. Like any other system, they are described by a graphical Bond Graph description (@pxref{Language fig (abg.fig) }), and a label file (@pxref{Labels (lbl)}). By convention, all of the files describing a component live in a directory with the same name as the component. @menu * Named SS components:: @end menu @node Named SS components, Coerced bond direction, Compound components, Language fig (abg.fig) @comment node-name, next, previous, up @subsubsection Named SS components @cindex Named SS components Named SS components provide the link from the system which @emph{defines} compound component to the system which @emph{uses} a compound component @pxref{Compound components}. A named SS components is of the form @code{SS:[name]}; Where `name' is a name consisting of alphanumeric characters and underscore; for example: @example SS:[Mechanical_1] @end example Each such named SS provides one of the ports (@pxref{Ports}). The direction of the named SS components. (@pxref{Named SS components}) is coerced (@pxref{Coerced bond direction}) to have the same direction as the bond connected to the corresponding port. Thus the direction of the direction of the named SS components has no significance unless the component is at the top level of a system. If a named SS component exists at the top level (@pxref{Top level}) and is treated as an ordinary SS component with the given direction and with the attributes specified in the label file (@pxref{Labels (lbl)}). @node Coerced bond direction, Port labels, Named SS components, Language fig (abg.fig) @comment node-name, next, previous, up @subsubsection Coerced bond direction @cindex Coerced bond direction @pindex Coerced bond direction Named SS components (@pxref{Named SS components}) provide the mechanism for declaring the ports (@pxref{Ports}) of a component. The corresponding bond has a direction. However, under some circumstances, it may be useful to reverse this direction. @strong{MTT} provides a coercion mechanism for this: the the direction of the bond attached to the named SS component (@pxref{Named SS components}) is replaced by the direction of the bond attached to the component port. @node Port labels, Vector port labels, Coerced bond direction, Language fig (abg.fig) @comment node-name, next, previous, up @subsubsection Port labels @cindex ports @pindex ports Most multi-port components have ports @pxref{Ports})which display different behaviors; the exception to this is the junction (@code{0} and @code{1}) components. For this reason, @strong{MTT} provides a method for unambiguously identifying the ports of a multi-port component by port labels. A port label is indicated by a name within parentheses of the form @code{[name]}, where `name' is a name consisting of alphanumeric characters and underscore; for example: @example [Mechanical_1] @end example This provides a label for corresponding to the component to which the nearest bond-end is attached. The following rules must be be obeyed: @itemize @bullet @item If a component has any port labels at all, there must be one for each port of the component. @c @item @c If a component is to be used repetitively (see @ref{components}), it @c must have an even number of ports and the odd ports are connected to the @c even points within the chain of components. @end itemize Port labels may be grouped into vector port labels (@pxref{Vector port labels}). Components with compatible (ie containing the same number of ports) vector ports may be connected by a @emph{single} bond (@pxref{Bonds}); such a bond implies the corresponding number of bonds (one for each element of the vector port label). All such bonds inherit the same direction and any @emph{explicit} causal strokes (@pxref{strokes}) @node Vector port labels, Port label defaults, Port labels, Language fig (abg.fig) @comment node-name, next, previous, up @subsubsection Vector port labels @cindex vector port labels @cindex port labels Port labels (@pxref{Port labels}) may be grouped into vector port labels of the form @code{[name1,name2,name3]}. @example [Mechanical_1,Electrical,Hydraulic_5] @end example @node Port label defaults, Vector components, Vector port labels, Language fig (abg.fig) @comment node-name, next, previous, up @subsubsection Port label defaults @cindex Port label defaults @pindex Port label defaults Whether impicitly or explicity, all ports of components (with the exception of 0 and 1 junctions) must have lables (@pxref{Port labels}). However, these can be omitted from the bond graph in the following circumstances and default labels are supplied by @strong{MTT}. @enumerate @item A single unlabled inport defaults to [in] @item A single unlabled outport defaults to [out] @end enumerate These defaults may, in turn be aliases (@pxref{Aliases}) for port labels (@pxref{Port labels}) or vector port labels (@pxref{Vector port labels}). Combining the default and alias mechanism is a powerful tool for creating uncluttered, yet complex, bond graph models. @node Vector components, artwork, Port label defaults, Language fig (abg.fig) @subsubsection Vector Components @cindex Vector components @pindex Vector components Vectors of components can be created in four cases: @code{0} junctions, @code{1} junctions, @code{SS} components and @code{SS} port components. In each case, the presence of a vector component is indicated by a single port label (@pxref{Port labels}) of one of two forms: @enumerate @item containing numerals from 1 to the order of the vector. Thus a vector of 3 components is indicated by a port label of the form [1,2,3]. @item 1: followed by the order of the vector. Thus a vector of 3 components is indicated by a port label of the form [1:3]. @end enumerate Within the corresponding label file (@pxref{Labels (lbl)}), the components of a vector port can be accessed using _i where i is the corresponding index. Thus a port SS:[Electrical] appearing near the port label [1,2,3] could contain the port alias (@pxref{Port aliases}) @example %ALIAS in Electrical_1,Electrical_2,Electrical_3 @end example @node artwork, Valid names, Vector components, Language fig (abg.fig) @subsubsection Artwork @cindex artwork @pindex artwork You are encouraged to annotate your bond graphs extensively - this makes them an immediately readable document whilst retaining the precise and unambiguous expressive power of the bond graph. You may add any Fig (@pxref{Fig}) object to the bond graph as long as it will not be interpreted as part of the bond graph. The reccommended way to acheive this is to put the Bond Graph at depth 0,10,20 etc (ie depth modulo 10 is zero) and artwork at any other depth. @c The recommended way to do this is to @emph{put all artwork at or below @c Depth 1} in the figure. @strong{MTT} ignores all objects not at depth 0. For compatibility with earlier versions of @strong{MTT}, the following objects are ignored even at level 0. However, their use is strongly discouraged. @itemize @bullet @item Adding text is OK as long as it cannot be confused with components (@pxref{components}). In particular, you can include invalid component characters such as white space, @code{"}, @code{'}, @code{!} etc. @item Adding boxes, arcs etc is always OK. @item Adding dotted or dashes lines is always OK. @end itemize The stripped abg file (sabg) (@pxref{Stripped acausal bond graph (sabg)}) shows only those parts of the diagram recognised by @strong{MTT} and is therefore useful for distinguishing artwork. @node Valid names, , artwork, Language fig (abg.fig) @subsubsection Valid Names @cindex valid name @pindex valid name A valid name is a text string containing alphanumeric characters. It must @strong{NOT} contain underscore @samp{_}, hyphen @samp{-}, @samp{:} or @samp{*}. The following reserved words in reduce should also be avoided (with any case) @example Commands ALGEBRAIC ANTISYMMETRIC ARRAY BYE CLEAR CLEARRULES COMMENT CONT DECOMPOSE DEFINE DEPEND DISPLAY ED EDITDEF END EVEN FACTOR FOR FORALL FOREACH GO GOTO IF IN INDEX INFIX INPUT INTEGER KORDER LET LINEAR LISP LISTARGP LOAD LOAD PACKAGE MASS MATCH MATRIX MSHELL NODEPEND NONCOM NONZERO NOSPUR ODD OFF ON OPERATOR ORDER OUT PAUSE PRECEDENCE PRINT PRECISION PROCEDURE QUIT REAL REMFAC REMIND RETRY RETURN SAVEAS SCALAR SETMOD SHARE SHOWTIME SHUT SPUR SYMBOLIC SYMMETRIC VECDIM VECTOR WEIGHT WRITE WTLEVEL Boolean Operators EVENP FIXP FREEOF NUMBERP ORDP PRIMEP Infix Operators := = >= > <= < => + * / ^ ** . WHERE SETQ OR AND MEMBER MEMQ EQUAL NEQ EQ GEQ GREATERP LEQ LESSP PLUS DIFFERENCE MINUS TIMES QUOTIENT EXPT CONS Numerical Operators ABS ACOS ACOSH ACOT ACOTH ACSC ACSCH ASEC ASECH ASIN ASINH ATAN ATANH ATAN2 COS COSH COT COTH CSC CSCH EXP FACTORIAL FIX FLOOR HYPOT LN LOG LOGB LOG10 NEXTPRIME ROUND SEC SECH SIN SINH SQRT TAN TANH Prefix Operators APPEND ARGLENGTH CEILING COEFF COEFFN COFACTOR CONJ DEG DEN DET DF DILOG EI EPS ERF FACTORIZE FIRST GCD G IMPART INT INTERPOL LCM LCOF LENGTH LHS LINELENGTH LTERM MAINVAR MAT MATEIGEN MAX MIN MKID NULLSPACE NUM PART PF PRECISION RANDOM RANDOM NEW SEED RANK REDERR REDUCT REMAINDER REPART REST RESULTANT REVERSE RHS SECOND SET SHOWRULES SIGN SOLVE STRUCTR SUB SUM THIRD TP TRACE VARNAME Reserved Variables CARD NO E EVAL MODE FORT WIDTH HIGH POW I INFINITY K!* LOW POW NIL PI ROOT MULTIPLICITY T Switches ADJPREC ALGINT ALLBRANCH ALLFAC BFSPACE COMBINEEXPT COMBINELOGS COMP COMPLEX CRAMER CREF DEFN DEMO DIV ECHO ERRCONT EVALLHSEQP EXP EXPANDLOGS EZGCD FACTOR FORT FULLROOTS GCD IFACTOR INT INTSTR LCM LIST LISTARGS MCD MODULAR MSG MULTIPLICITIES NAT NERO NOSPLIT OUTPUT PERIOD PRECISE PRET PRI RAT RATARG RATIONAL RATIONALIZE RATPRI REVPRI RLISP88 ROUNDALL ROUNDBF ROUNDED SAVESTRUCTR SOLVESINGULAR TIME TRA TRFAC TRIGFORM TRINT Other Reserved Ids BEGIN DO EXPR FEXPR INPUT LAMBDA LISP MACRO PRODUCT REPEAT SMACRO SUM UNTIL WHEN WHILE WS @end example @node Language m (rbg.m), Language m (abg.m), Language fig (abg.fig), Acausal bond graph (abg) @comment node-name, next, previous, up @subsection Language m (rbg.m) The raw bond graph of system `sys' is represented as an m file with heading: @example function [rbonds, rstrokes,rcomponents,rports,n_ports] = sys_rbg @end example This representation is a half-way house between the fig (@pxref{Language fig (abg.fig)}) and m (@pxref{Language m (abg.m)}) representations. It contains the geometric information from the fig file in a form digestible by Octave (@pxref{Octave}). The five outputs of this function are: @itemize @bullet @item rbonds @item rstrokes @item rcomponents @item rports @item n_ports @end itemize @emph{rbonds} is a matrix with @itemize @bullet @item one row for each bond (@pxref{bonds}) @item columns 1 and 2 containing the x,y coordinates for one end of the bond @item columns 3 and 4 containing the x,y coordinates for the corner of the bond @item columns 5 and 6 containing the x,y coordinates for the other end of the bond @end itemize @emph{rstrokes} is a matrix with (@pxref{strokes}) @itemize @bullet @item one row for each stroke or half-stroke @item columns 1 and 2 containing the x,y coordinates for one end of the stroke @item columns 3 and 4 containing the x,y coordinates for the other end of the stroke @end itemize @emph{rcomponents} is a matrix with (@pxref{components}) @itemize @bullet @item one row for each component @item columns 1 and 2 containing the x,y coordinates of the component @item the remaining columns containing fig file information @end itemize @emph{rports} is a matrix with (@pxref{Port labels}) @itemize @bullet @item one row for each component port that is explicitly labeled @item columns 1 and 2 containing the x,y coordinates of the port label @item column 3 contains the port number. @end itemize @emph{n_ports} is the number of ports associated with the system -- i.e. the number of Named SS components (@pxref{Named SS components}). @menu * Transformation abg2rbg_fig2m:: @end menu @node Transformation abg2rbg_fig2m, , Language m (rbg.m), Language m (rbg.m) @comment node-name, next, previous, up @subsubsection Transformation abg2rbg_fig2m @cindex Transformation abg2rbg_fig2m This transformation takes the acausal bond graph as a fig file (@pxref{Language fig (abg.fig)}) and transforms it into a raw bond graph in m-file format (@pxref{Language m (rbg.m)}). This transformation is implemented in GNU awk (gawk). It scans both the fig file (@pxref{Language fig (abg.fig)}) and the label file (@pxref{Labels (lbl)}) and generates the rbg (@pxref{Language m (rbg.m)}) with components sorted according to the label file. It also generates a file sys_fig.fig containing details of the bond graph with the components removed. @node Language m (abg.m), Language tex (abg.tex), Language m (rbg.m), Acausal bond graph (abg) @comment node-name, next, previous, up @subsection Language m (abg.m) @cindex Language m (abg.m) @cindex bonds @cindex components @cindex n_ports The acausal bond graph of system `sys' is represented as an m file with heading: @example function [bonds,components,n_ports] = sys_abg @end example The three outputs of this function are: @itemize @bullet @item bonds @item components @item n_ports @end itemize @emph{bonds} is a matrix with @itemize @bullet @item one row for each bond @item the first column contains the arrow-orientated (@pxref{Arrow-orientated causality}) causality of the @emph{effort} variable. @item the second column contains the arrow-orientated (@pxref{Arrow-orientated causality}) causality of the @emph{flow} variable. @end itemize @emph{components} is a matrix with @itemize @bullet @item one row for each component @item one column for each bond impinging on the component. The @emph{magnitude} of each entry corresponds to the bond number (the appropriate row index of` bonds'); the sign is positive if the bond arrow points into the component and negative otherwise. @end itemize @emph{n_ports} is the number of ports associated with the system -- i.e. the number of Named SS components (@pxref{Named SS components}). @menu * Arrow-orientated causality:: * Component-orientated causality:: * Transformation rbg2abg_m:: @end menu @node Arrow-orientated causality, Component-orientated causality, Language m (abg.m), Language m (abg.m) @comment node-name, next, previous, up @subsubsection Arrow-orientated causality @cindex Arrow-orientated causality The arrow-orientated causality convention assigns -1, 0 or 1 to both the effort and flow (@pxref{Variables}) sides of a bond to represent the causal stroke (@pxref{strokes}) as follows: @vtable @code @item 0 if there is no causality set. @item 1 if the causal stroke is at the arrow end of the bond. @item -1 if the causal stroke is at the other end of the bond. @end vtable @pxref{Component-orientated causality}. @node Component-orientated causality, Transformation rbg2abg_m, Arrow-orientated causality, Language m (abg.m) @comment node-name, next, previous, up @subsubsection Component-orientated causality @cindex Component-orientated causality The component-orientated causality convention assigns -1, 0 or 1 to both the effort and flow (@pxref{Variables}) sides of a bond to represent the causal stroke (@pxref{strokes}) as follows: @vtable @code @item 0 if there is no causality set. @item 1 if the causal stroke is at the component end of the bond. @item -1 if the causal stroke is at the other end of the bond. @end vtable @pxref{Arrow-orientated causality}. @node Transformation rbg2abg_m, , Component-orientated causality, Language m (abg.m) @comment node-name, next, previous, up @subsubsection Transformation rbg2abg_m @cindex Transformation rbg2abg_m This transformation takes the raw bond graph and, by doing some geometrical computation, determines the topology of the bond graph -- ie what is close to what. @node Language tex (abg.tex), , Language m (abg.m), Acausal bond graph (abg) @comment node-name, next, previous, up @subsection Language tex (abg.tex) @cindex Language tex (abg.tex) For the purpose of producing a report (@pxref{Report}), @strong{MTT} generates a LaTeX (@pxref{LaTeX}) file describing the bond graph and its subsystems. Additional information may be supplied using the description representation (@pxref{Description (desc)}). @c node next prev up @node Stripped acausal bond graph (sabg), Labels (lbl), Acausal bond graph (abg), Representations @section Stripped acausal bond graph (sabg) @cindex Stripped acausal bond graph (sabg) @pindex Stripped acausal bond graph (sabg) The stripped acausal bond graph is the acausal bond graph representation (@pxref{Acausal bond graph (abg)}) without the artwork (@pxref{artwork}). It is useful to check for mistakes by showing precisely what is recognised by @strong{MTT}. @menu * Language fig (sabg.fig):: * Stripped acausal bond graph (view):: @end menu @node Language fig (sabg.fig), Stripped acausal bond graph (view), Stripped acausal bond graph (sabg), Stripped acausal bond graph (sabg) @subsection Language fig (sabg.fig) @cindex Language fig (sabg.fig) @pindex Language fig (sabg.fig) The stripped acausal bond graph can be generated as a fig (@pxref{Fig}) file using @example mtt syst sabg fig @end example @node Stripped acausal bond graph (view), , Language fig (sabg.fig), Stripped acausal bond graph (sabg) @subsection Stripped acausal bond graph (view) @cindex Language m (view) @cindex view Constrained-state Equations This representation has the standard text view (@pxref{Views}). @node Labels (lbl), Description (desc), Stripped acausal bond graph (sabg), Representations @comment node-name, next, previous, up @section Labels (lbl) @cindex Labels @cindex lbl Bond graph components have optional labels. These provide pointers to further information relating to the component; this avoids clutter on the bond graph. The label file contains the following non-blank lines (blank lines are ignored) @itemize @bullet @item Summary - lines beginning with %SUMMARY @item Description - lines beginning with %DESCRIPTION @item Alias - lines beginning with %ALIAS @item Comments - lines beginning with % @item Labels - other non-blank lines @end itemize Each lable contains three fields (in the following order) separated by white space and on one line: @enumerate @item The component name @pxref{Component names}. This must be a valid name (@pxref{Valid names}. @item The component constitutive relationship @pxref{Component constitutive relationship} @item The component arguments @pxref{Component arguments} @end enumerate Not each component @pxref{components} needs a label, only those which are explicitly labeled on the Bond Graph @pxref{Acausal bond graph (abg)}. @strong{MTT} checks whether all components labelled on the bond graph have labels and vice versa. If no lbl file exists, @strong{MTT} will create a valid one for you; including a default set of arguments and crs for both simplae and compound components. If wish to create one to edit yourself, type @example mtt system_name lbl txt @end example An example lbl file (for the RC system is): @example %% Label file for system RC (RC_lbl.txt) %SUMMARY RC %DESCRIPTION <Detailed description here> % Port aliases %ALIAS in in %ALIAS out out % Argument aliases %ALIAS $1 c %ALIAS $2 r %% Each line should be of one of the following forms: % a comment (ie starting with %) % component-name cr_name arg1,arg2,..argn % blank % ---- Component labels ---- % Component type C c lin effort,c % Component type R r lin flow,r % Component type SS [in] SS external,external [out] SS external,external @end example The old-style lbl files (@pxref{Old-style labels (lbl)}) are NO LONGER supported -- you are encouraged to convert them ASAP. @menu * SS component labels :: * Other component labels :: * Component names:: * Component constitutive relationship:: * Component arguments:: * Parameter declarations:: * Units declarations:: * Interface Control Definition:: * Aliases:: * Parameter passing:: * Old-style labels (lbl):: @end menu @node SS component labels , Other component labels , Labels (lbl), Labels (lbl) @comment node-name, next, previous, up @subsection SS component labels @cindex SS component labels In addition to the label there are two information fields, @pxref{Labels (lbl)}. The first must be `SS', the second contains two information fields of the form info_field_1,info_field_2. These two information fields correspond to the effort and flow variables of the of the SS components as follows @vtable @code @item info_field_1 effort @item info_field_2 flow @end vtable Each of these two fields contains one of the following @emph{attributes}: @vtable @code @item external indicates that the corresponding variable is a system input or output @item internal indicates that the variable does not appear as a system output; it is an error to label an input in this way. @item a number the value of the input; or the value of the (imposed) output @item a symbol the symbolic value of the input; or the value of the (imposed) output @item unknown used for the SS method of solving algebraic loops. This indicates that the corresponding system input (SS output) is to be chosen to set the corresponding system output (SS input) to zero. @item zero used for the SS method of solving algebraic loops. This indicates that the corresponding system output (SS input) is to be set to zero using the variable indicted by the corresponding `unknown' label. @end vtable Some examples are: @example %% ss1 is both a source and sensor ss1 SS external,external %% ss1 acts as a flow sensor - it imposes zero effort. ss2 SS 0,external @end example @node Other component labels, Component names, SS component labels , Labels (lbl) @comment node-name, next, previous, up @subsection Other component labels @cindex Other component labels In addition to the label there are two information fields, @pxref{Labels (lbl)}. They correspond to the constitutive relationship (see @pxref{Constitutive relationship} and arguments of the component as follows @vtable @code @item info_field_1 constitutive relationship @item info_field_2 parameters @end vtable Some examples are: @example %Armature resistance r_a lin effort,r_a %Gearbox ratio n lin effort,n @end example @strong{MTT} supports parameter-passing to (@pxref{Parameter passing }) subsystems. @menu * Component names:: * Component constitutive relationship:: * Component arguments:: * Aliases:: * Parameter passing:: * Old-style labels (lbl):: @end menu @node Component names, Component constitutive relationship, Other component labels , Labels (lbl) @comment node-name, next, previous, up @subsection Component names @cindex Component names The component name field must contain a valid name (@pxref{Valid names} corresponding to the name (the bit after the :) of each named component (@pxref{components}) on the bond graph (@pxref{Acausal bond graph (abg)}). @node Component constitutive relationship, Component arguments, Component names, Labels (lbl) @comment node-name, next, previous, up @subsection Component constitutive relationship @cindex Component constitutive relationship The constitutive relationship field contains the name of a constitutive relationship for the component. There are three sorts of constitutive relationship recognised by @strong{MTT}: @enumerate @item A generic constitutive relationship such as @var{lin} (the generic linear constitutive relationship. @item A local constitutive relationship with the same name as the component type @item The @var{SS} constitutive relationship reserved for @var{SS} components. All labels for @var{SS} components must contain SS in this field. @end enumerate @node Component arguments, Parameter declarations, Component constitutive relationship, Labels (lbl) @comment node-name, next, previous, up @subsection Component arguments @cindex Component arguments @node Parameter declarations, Units declarations, Component arguments, Labels (lbl) @comment node-name, next, previous, up @subsection Parameter declarations @cindex parameter declarations @pindex parameter declarations @pindex PAR @pindex NOTPAR @pindex VAR @pindex NOTVAR It is sometimes useful to use parameters (in addition to those implied by the Component arguments @pxref{Component arguments}) to compute values in, for example the numpar file. These can be declared in the label file; for examples , the two parameters par1 and par 2 can be declared as: @example #PAR par1 #PAR par2 @end example On the other hand, some CR arguments (eg foo and bar) may not correspond to parameters. These can be excluded from the sympar list using the NOTPAR declaration @example #NOTPAR foo #NOTPAR bar @end example For comapability with old code, VAR may be used in place of PAR, but this usage is deprecated. @node Units declarations, Interface Control Definition, Parameter declarations, Labels (lbl) @comment node-name, next, previous, up @subsection Units declarations @cindex units declarations @pindex units declarations @pindex UNITS The units and domains of ports (@pxref{Ports}) are declared as: @example #UNITS Port_name domain effort_units flow_units @end example where "Port_name" is the name of the port, domain is one of: @vtable @code @item electrical the electrical domain @item translational the translational mechanical domain @item rotational the rotational mechanical domain @item fluid the fluid domain @item thermal the thermal domain @end vtable and effort_units and flow_units are corresponding units for the effort and the flow. Allowed units are those defined in the @strong{units} package. @strong{MTT} checks that units are @itemize @bullet @item defined consistently with the domain @item the same for connected ports when both ports have defined units. @end itemize No checks are done if one or both ends of a bond are not connected to a port with defined units. @node Interface Control Definition, Aliases, Units declarations, Labels (lbl) @comment node-name, next, previous, up @subsection Interface Control Definition @cindex ICD (label file directive) It is sometimes useful to be able to automatically generate a set of assignments mapping @strong{MTT} inputs and outputs to an external interface definition. This can be achieved with use of the @emph{#ICD} directive. @example #ICD PressureSensor PUMP1_PRESSURE_SENSOR,Pa;null,none #ICD Electrical PUMP1_VOLTAGE,volt;PUMP1_CURRENT,amp % Component type De PressureSensor SS external % Component type SS Electrical SS external,external @end example The ICD directive consists of 3 whitespace delimited fields: @enumerate @item [%|#]ICD @item component name @item Four comma (,) or semi-colon (;) delimited fields: @enumerate @item name of effort parameter @item unit of effort parameter @item name of flow parameter @item unit of flow parameter @end enumerate @end enumerate If no parameter name is required, a value of "null" should be used. If the parameter does not have any units, a value of "none" should be used. ICD parameters may be aliased @pxref{Aliases} in the same way as normal parameters, thus it is possible to define some or all of the ICD in higher level components. The command @example mtt sys ICD txt @end example will generate a text file containing a list of mappings: @example ## Interface Control Definition for System sys ## sys_ICD.txt: Generated by MTT Thu Jul 12 21:21:21 CDT 2001 Input: PUMP1_VOLTAGE sys_P1_1_Electrical Causality: Effort Units: volt Output: PUMP1_CURRENT sys_P1_1_Electrical Causality: Flow Units: amp Output: PUMP1_PRESSURE_SENSOR sys_P1_1_PressureSensor Causality: Effort Units: Pa @end example A set of assignments can be generated with the command @example mtt sys ICD m @end example resulting in: @example # Interface Control Definition mappings for system sys # sys_ICD.m: Generated by MTT Thu Jul 12 21:26:56 CDT 2001 # Inputs mttu(1) = PUMP1_VOLTAGE; # Outputs PUMP1_CURRENT = mtty(1); PUMP1_PRESSURE_SENSOR = mtty(2); @end example A similar file will be generated by the command @example mtt sys ICD cc @end example @node Aliases, Parameter passing, Interface Control Definition, Labels (lbl) @comment node-name, next, previous, up @subsection Aliases @cindex aliases @pindex aliases Aliases provide a convenient mechanism for relabelling words appearing in the label file (@pxref{Labels (lbl)}). There are three contexts in which the alias mechanism is used: @enumerate @item renaming ports (@pxref{Port aliases}), @item renaming parameters (@pxref{Parameter aliases}) and @item renaming components (@pxref{Component aliases}). @end enumerate All three mechanisms use the same form of statement within the label file @example %ALIAS short_label real_label @end example @strong{MTT} distinguishes between the three forms as follows: @itemize @bullet @item Parameter aliases: `short_label' starts with a `$' @item Component aliases: `real_label' contains the directory separator `/' @item Port aliases: neither of the above @end itemize @menu * Port aliases:: * Parameter aliases:: * CR aliases:: * Component aliases:: @end menu @node Port aliases, Parameter aliases, Aliases, Aliases @comment node-name, next, previous, up @subsubsection Port aliases @cindex port aliases @pindex port aliases Aliases provide a way of refering to (@pxref{Port labels}) or vector port labels (@pxref{Vector port labels}) on the bond graph using a short-hand notation. With in a component label file (@pxref{Labels (lbl)}) statements of the following forms can occur @example %ALIAS short_label real_label @end example When the component is used within another component, the short_lable may be used in place of the real_label. More than one alias per label can be used, for example @example %ALIAS short_label_1 real_label %ALIAS short_label_2 real_label %ALIAS short_label_3 real_label @end example The port can then be refered to in four ways: as real_label, short_label_1, short_label_2 or short_label_3. An alternative notation for the ALIAS statement in this case is @example %ALIAS short_label_1|short_label_2|short_label_3 real_label @end example The alias feature is particularly powerful in conjunction with vector port labels (@pxref{Vector port labels}) and the port label default (@pxref{Port label defaults}) mechanisms. For example, a component with 5 ports appearing in the lbl file as: @example [Hydraulic_in] external external [Hydraulic_out] external external [Power_Shaft] external external [Thermal_in] external external [Thermal_out] external external @end example together with the following statements in the label file: @example %ALIAS in Thermal_in,Hyydraulic_in %ALIAS out Thermal_out,Hydraulic_out %ALIAS shaft|power Power_Shaft @end example can appear in the bond graph containing that component with one bond labeled either [shaft] or [power] or [Power_Shaft], one unlabeled vector bond pointing in and one unlabeled vector bond pointing out. @node Parameter aliases, CR aliases, Port aliases, Aliases @comment node-name, next, previous, up @subsubsection Parameter aliases @cindex parameter aliases @pindex parameter aliases Parameter aliases are of the form @example %ALIAS $n actual parameter @end example where n is an integer (unique within the label file). For example @example %ALIAS $1 c_v %ALIAS $2 density,ideal_gas,r %ALIAS $3 alpha %ALIAS $4 flow,k_p @end example Assigns four symbolic parameters to the corresponding strings These four parameters (@code{$1}--@code{$4}) can then be used for parameter passing(@pxref{Parameter passing}). @node CR aliases, Component aliases, Parameter aliases, Aliases @comment node-name, next, previous, up @subsubsection CR aliases @cindex CR aliases @pindex CR aliases CR aliases are of the form @example %ALIAS $an actual parameter @end example where n is an integer (unique within the label file). For example @example %ALIAS $a1 lin @end example assigns the symbolic parameter to be lin. This parameter @code{$1} can then be used for passing a diofferent cr to the component (@pxref{Parameter passing}). @node Component aliases, , CR aliases, Aliases @comment node-name, next, previous, up @subsubsection Component aliases @cindex component aliases @pindex component aliases Component aliases are of the form @example %ALIAS Component_name Component_location @end example An example appears in the following label file fragment @example ... %ALIAS wPipe CompressibleFlow/wPipe %ALIAS Poly CompressibleFlow/Poly .... @end example The two components `wPipe' and `Poly' are both to be found within the library `Compressible flow' and the respective subdirectories. This follows the @strong{MTT} convention that compound components (@pxref{Compound components}) live within a directory of the same name. @node Parameter passing, Old-style labels (lbl), Aliases, Labels (lbl) @comment node-name, next, previous, up @subsection Parameter passing @cindex Parameter passing @strong{MTT} supports parameter-passing to subsystems within label files (@pxref{Labels (lbl)}). Within a subsystem, explicit constitutive relationships and parameters (or groups thereof) can be replaced by postitional parameters such as @code{$1}, @code{$2} etc. Although this can be done directly, it is recommended that this is done via the alias mechanism (@pxref{Parameter aliases}). In a subsystem @code{$i}, is replaced by the ith field of a colon @code{;} separated field in the calling label file. This field may include commas @code{,} and the four arithmetic operators @code{+}, @code{-}, @code{*} and @code{/}. For example, consider the following example label file fragment (associated with a component called Pump: @example ... %ALIAS $1 c_v %ALIAS $2 density,ideal_gas,r %ALIAS $3 alpha %ALIAS $4 flow,k_p %ALIAS wPipe CompressibleFlow/wPipe %ALIAS Poly CompressibleFlow/Poly % Component type wPipe pipe none c_v;density,ideal_gas,r % Component type Poly poly Poly alpha @end example The 4 parameters @code{$1}, @code{$2}, @code{$3}, and @code{$4} can be passed from a higher level component as in the following label file fragment: @example % Component type Pump comp none c_v;rho,ideal_gas,r;alpha;effort,k_c turb none c_v;rho,ideal_gas,r;alpha;effort,k_t @end example Thus in component `comp': @itemize @bullet @item @code{$1} is replaced by c_v @item @code{$2} is replaced by rho,ideal_gas @item @code{$3} is replaced by alpha @item @code{$4} is replaced by effort,k_c @end itemize whereas in component `turb' the first three parameters are the same but @itemize @bullet @item @code{$4} is replaced by effort,k_t @end itemize @node Old-style labels (lbl), , Parameter passing, Labels (lbl) @comment node-name, next, previous, up @subsection Old-style labels (lbl) @cindex Old-style labels @cindex lbl Old syle labels (mtt version 2.x) are supported by mtt version 3.x. However, you are advised to use the new form (@pxref{Labels (lbl)}). Each line of the @code{_label.txt} file is of one of three forms: @enumerate @item Contains three fields (separated by white space) of the form @example label field_1 field_2 @end example @item Blank @item Preceded by % @end enumerate Only the first is noticed by @strong{MTT}; the second and third are for providing helpful commenting. The role of the two information fields depends on the component with the corresponding label. In particular the classes of components are: @itemize @bullet @item SS components, @pxref{SS components}. @item Other components, @pxref{components}. @end itemize Named SS component, @pxref{Named SS components} never have labels. @menu * SS component labels (old-style):: * Other component labels (old-style):: * Parameter passing (old-style):: @end menu @node SS component labels (old-style), Other component labels (old-style), Old-style labels (lbl), Old-style labels (lbl) @comment node-name, next, previous, up @subsubsection SS component labels (old-style) @cindex SS component labels (old-style) In addition to the label there are two information fields, @pxref{Labels (lbl)}. They correspond to the effort and flow of the components as follows @vtable @code @item info_field_1 effort @item info_field_2 flow @end vtable Each of these two fields contains one of the following @emph{attributes}: @vtable @code @item external indicates that the corresponding variable is a system input or output @item internal indicates that the variable does not appear as a system output; it is an error to label an input in this way. @item a number the value of the input; or the value of the (imposed) output @item a symbol the symbolic value of the input; or the value of the (imposed) output @item unknown used for the SS method of solving algebraic loops. This indicates that the corresponding system input (SS output) is to be chosen to set the corresponding system output (SS input) to zero. @item zero used for the SS method of solving algebraic loops. This indicates that the corresponding system output (SS input) is to be set to zero using the variable indicted by the corresponding `unknown' label. @end vtable Some examples are: @example %Label field1 field2 ss1 external external ss2 0 external @end example @node Other component labels (old-style), Parameter passing (old-style), SS component labels (old-style), Old-style labels (lbl) @comment node-name, next, previous, up @subsubsection Other component labels (old-style) @cindex Other component labels (old-style) In addition to the label there are two information fields, @pxref{Labels (lbl)}. They correspond to the constitutive relationship (see @pxref{Constitutive relationship} and arguments of the component as follows @vtable @code @item info_field_1 constitutive relationship @item info_field_2 parameters @end vtable Some examples are: @example %Armature resistance r_a lin effort,r_a %Gearbox ratio n lin effort,n @end example @strong{MTT} supports parameter-passing to (@pxref{Parameter passing (old-style)}) subsystems. @node Parameter passing (old-style), , Other component labels (old-style), Old-style labels (lbl) @comment node-name, next, previous, up @subsubsection Parameter passing (old-style) @cindex Parameter passing (old-style) @strong{MTT} supports parameter-passing to (@pxref{Parameter passing (old-style)}) subsystems within label files (@pxref{Labels (lbl)}). Within a subsystem, explicit constitutive relationships and parameters (or groups thereof) can be replaced by @code{$1}, @code{$2}, etc. In a subsystem @code{$i}, is replaced by the ith field of a colon @code{;} separated field in the calling label file. This field may include commas @code{,}. For example subsystem ROD contains the following lines in the label file: @example %DESCRIPTION Parameter 1: length from end 1 to mass centre %DESCRIPTION Parameter 2: length from end 2 to mass centre %DESCRIPTION Parameter 3: inertia about mass centre %DESCRIPTION Parameter 4: mass %DESCRIPTION See Section 10.2 of "Metamodelling" %Inertias J lin flow,$3 m_x lin flow,$4 m_y lin flow,$4 %Integrate angular velocity to get angle th %Modulated transformers s1 lsin flow,$1 s2 lsin flow,$2 c1 lcos flow,$1 c2 lcos flow,$2 @end example This can be used in a higher-level lbl (@pxref{Labels (lbl)}) file as: @example %SUMMARY Pendulum example from Section 10.3 of "Metamodelling" %Rod parameters rod none l;l;j;m @end example @node Description (desc), Structure (struc), Labels (lbl), Representations @comment node-name, next, previous, up @section Description (desc) @cindex Description @cindex desc The bond graph can be described textually in LaTeX (.tex) description file; this is the only language for this representation. This representation is used by the LaTeX language version (@pxref{Language tex (abg.tex)}) of the acausal bond graph representation (@pxref{Acausal bond graph (abg)}). @menu * Language tex (desc.tex):: @end menu @node Language tex (desc.tex), , Description (desc), Description (desc) @comment node-name, next, previous, up @subsection Language tex (desc.tex) @cindex Language tex (desc.tex) This file may contain any LaTeX compatible commands. Any mathematics should conform to the AMSmath package. @node Structure (struc), Constitutive Relationship (cr), Description (desc), Representations @comment node-name, next, previous, up @section Structure (struc) @cindex Structure @cindex struc The causal bond graph implies a set of equations describing the system. The Structure (struc) representation describes the structure of these equations in terms of the input, outputs, states and non-states of the system. @menu * Language txt (struc.txt):: * Language tex (struc.tex):: * Structure (view):: @end menu @node Language txt (struc.txt), Language tex (struc.tex), Structure (struc), Structure (struc) @comment node-name, next, previous, up @subsection Language txt (struc.txt) @cindex Language txt (struc.txt) This text tile contains a description of the system structure (@pxref{Structure (struc)} with 5 tab-separated columns containing the following information: @vtable @code @item type input, output state or nonstate @item index an integer corresponding to the array index @item component name the name of the component corresponding to the variable @item system name the name of the system containing the component @item repetition an integer corresponding to the repetition of a repeated subsystem. @end vtable An example of such a file (corresponding to rc) (@pxref{Quick start}) is: @example input 1 e1 rc 1 output 1 e2 rc 1 state 1 c rc 1 @end example @node Language tex (struc.tex), Structure (view), Language txt (struc.txt), Structure (struc) @comment node-name, next, previous, up @subsection Language tex (struc.tex) @cindex Language tex (struc.tex) This LaTeX (@pxref{LaTeX}) file contains a description of the system structure (@pxref{Structure (struc)} in @code{longtable} format. It is a useful item to include in a report(@pxref{Report}). @node Structure (view), , Language tex (struc.tex), Structure (struc) @subsection Language tex (view) @cindex Structure (view) @cindex view Structure This representation has the standard text view (@pxref{Views}). @node Constitutive Relationship (cr), Parameters, Structure (struc), Representations @comment node-name, next, previous, up @section Constitutive relationship (cr) @cindex Constitutive relationship The constitutive relationship (@pxref{Constitutive relationship}) of a simple component (@pxref{Simple components} is defined in the symbolic algebra language Reduce (@pxref{Reduce}). The constitutive relationship of a compound components (@pxref{Compound components}) is implied by the constitutive relationships of its constituent components. @menu * Predefined constitutive relationships:: * DIY constitutive relationships:: * Unresolved constitutive relationships:: * Unresolved constitutive relationships - Octave:: * Unresolved constitutive relationships - c++:: @end menu @node Predefined constitutive relationships, DIY constitutive relationships, Constitutive Relationship (cr), Constitutive Relationship (cr) @comment node-name, next, previous, up @subsection Predefined constitutive relationships @cindex Predefined constitutive relationships Some common cr's are predefined by MTT; these are: @vtable @code @item lin a linear constitutive relationship @item exotherm an exothermic reaction @end vtable @menu * lin:: * exotherm:: @end menu @node lin, exotherm, Predefined constitutive relationships, Predefined constitutive relationships @comment node-name, next, previous, up @subsubsection lin @findex lin The constitutive relationship @code{lin} is predefined for the following components. @vtable @code @item R (one-port) R component @item TF transformer @item GY gyrator @item MTF modulated transformer @item MGY modulated gyrator @item FMR flow-modulated resistor @end vtable Lin takes two arguments in the form causality,gain @vtable @code @item causality the causality (effort or flow) of the @emph{input} to the constitutive relationship @item gain the gain of the component when the input causality is as specified in the first argument. @end vtable For example the arguments @example flow,r @end example given to an R component corresponds to @example e = rf @end example if if the input causality is flow or @example f = e/r @end example if if the input causality is effort. @node exotherm, , lin, Predefined constitutive relationships @comment node-name, next, previous, up @subsubsection exotherm @findex exotherm @node DIY constitutive relationships, Unresolved constitutive relationships, Predefined constitutive relationships, Constitutive Relationship (cr) @comment node-name, next, previous, up @subsection DIY constitutive relationships @cindex DIY constitutive relationships You can write your own constitutive relationships using Reduce (@pxref{Reduce}). This requires some understanding as to how @strong{MTT} represent the elementary system equations (@pxref{Elementary system equations}). Looking at the predefined constitutive relationships is a good way to get started (@pxref{File structure}). @node Unresolved constitutive relationships, Unresolved constitutive relationships - Octave, DIY constitutive relationships, Constitutive Relationship (cr) @subsection Unresolved constitutive relationships @cindex Unresolved constitutive relationships Consider the following CR file. @example FOR ALL rho,g,vol,h,topt,bott,flowin,press LET tktf2(rho,g,vol,h,topt,bott,effort,2,press,effort,1) = tank(rho,g,vol,h,topt,bott,press); @end example Assuming that `tank' is not defined in a reduce file, MTT will leave it unresolved when generating m or c code. The resulting function can then be expressed as octave (@pxref{Unresolved constitutive relationships - Octave}) or c++ code as (@pxref{Unresolved constitutive relationships - c++}) appropriate. @node Unresolved constitutive relationships - Octave, Unresolved constitutive relationships - c++, Unresolved constitutive relationships, Constitutive Relationship (cr) @subsection Unresolved constitutive relationships - Octave @cindex Unresolved constitutive relationships - Octave Following the example of the previous section, the unresolved CR `tank' can be expressed as an Octave m-file. For example: @example function p = tank (rho,g,vol,h,topt,bott,press) ## usage: p = tank (vol,h,topt,bott,press) ## ## val = press; zt = topt; zb = bott; zval = 0.5*(abs(zb+(zt-zb)*val-h)+(zb+(zt-zb)*val-h)); p = rho*g*zval + 0.5*(1+tanh((press-0.98)*500))*100000; endfunction @end example This will be automatically loaded into octave. @node Unresolved constitutive relationships - c++, , Unresolved constitutive relationships - Octave, Constitutive Relationship (cr) @subsection Unresolved constitutive relationships - c++ @cindex Unresolved constitutive relationships - Octave Following the example of the previous section, the unresolved CR `tank' can be expressed in c++ code. For example: @example inline double tank(const double rho, const double g, const double vol, const double h, const double topt, const double bott, const double press) /* ## usage: p = tank (vol,h,topt,bott,press) ## ## */ double p, val, zval, zt, zb; val = press; zt = topt; zb = bott; zval = 0.5 * (abs(zb + (zt - zb) * val - h) + zb + (zt - zb) * val - h); p = rho * g * zval + 0.5 * (1 + tanh((press - 0.98) * 500)) * 100000L; return p; @end example To make sure that this is used in system `model', the model_cr.h file must be as follows: @example // CR headers for system model #include "tank.c" @end example @node Parameters, Causal bond graph (cbg), Constitutive Relationship (cr), Representations @comment node-name, next, previous, up @section Parameters @cindex Parameters In general, lbl (@pxref{Labels (lbl)}) files contain symbolic parameters. @strong{MTT} provides three ways of substituting for these parameters: @itemize @bullet @item symbolic substitution @item symbolic substitution for simplification of displayed equations @item numeric @end itemize @menu * Symbolic parameters (subs.r):: * Symbolic parameters for simplification (simp.r):: * Numeric parameters (numpar):: @end menu @node Symbolic parameters (subs.r), Symbolic parameters for simplification (simp.r), Parameters, Parameters @comment node-name, next, previous, up @subsection Symbolic parameters (subs.r) @cindex Symbolic parameters @vindex subs.r This file contains reduce statements to symbolically change the expressions describing the system. For example, a useful set of trig substitutions is: @example LET cos(~x)*cos(~y) = (cos(x+y)+cos(x-y))/2; LET cos(~x)*sin(~y) = (sin(x+y)-sin(x-y))/2; LET sin(~x)*sin(~y) = (cos(x-y)-cos(x+y))/2; LET cos(~x)^2 = (1+cos(2*x))/2; LET sin(~x)^2 = (1-cos(2*x)); @end example @node Symbolic parameters for simplification (simp.r), Numeric parameters (numpar), Symbolic parameters (subs.r), Parameters @comment node-name, next, previous, up @subsection Symbolic parameters for simplification (simp.r) @cindex Symbolic parameters for simplification @vindex simp.r This file contains reduce statements to symbolically change the expressions describing the system. Unlike the subs.r file (@pxref{Symbolic parameters (subs.r)}) it does not affect all system transformations; only those converting to LaTeX form. @node Numeric parameters (numpar), , Symbolic parameters for simplification (simp.r), Parameters @comment node-name, next, previous, up @subsection Numeric parameters (numpar) @cindex Numeric parameters When computing time and frequency responses; or when evaluating functions in Octave (@pxref{Octave}); symbolic parameters need numerical instantiations. The numpar representation provides the relevant @emph{numerical} information. It comes in a number of languages: @ftable @code @item txt a textual description of the parameter values -- this is the defining representation (@pxref{Defining representations}). @item m readable by @code{octave} a high-level interactive language for numerical computation -- translated by @strong{mtt} from the txt version. @item c readable by @code{gcc} a c compiler -- translated by @strong{mtt} from the txt version. @end ftable @menu * Text form (numpar.txt):: @end menu @node Text form (numpar.txt), , Numeric parameters (numpar), Numeric parameters (numpar) @comment node-name, next, previous, up @subsubsection Text form (numpar.txt) @cindex Numeric parameters This is the textual form of the numerical parameters representation (@pxref{Numeric parameters (numpar)}). Lines are either @ftable @code @item assignment statements variable = value @item comments lines beginning with # @item commented assignment statements variable = value # comments @end ftable An example file is: @example # Numerical parameter file (rc_numpar.txt) # Generated by MTT at Mon Jun 16 15:10:17 BST 1997 # %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% # %% Version control history # %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% # %% $Id$ # %% $Log$ # %% Revision 1.9 2002/07/05 13:29:34 geraint # %% Added notes about generating dynamically linked functions for Octave and Matlab. # %% # %% Revision 1.8 2002/07/04 21:34:12 geraint # %% Updated gnuplot view description to describe Tcl/Tk interface instead of obsolete txt method. # %% # %% Revision 1.7 2002/04/23 09:51:54 gawthrop # %% Changed incorrect statement about searching for components. # %% # %% Revision 1.6 2001/10/15 14:29:50 gawthrop # %% Added documentaton on [1:N] style port labels # %% # %% Revision 1.5 2001/07/23 03:35:29 geraint # %% Updated file structure (mtt/bin). # %% # %% Revision 1.4 2001/07/23 03:25:02 geraint # %% Added notes on -ae hybrd, rk4, ode2odes.cc, .oct dependencies. # %% # %% Revision 1.3 2001/07/13 03:02:38 geraint # %% Added notes on #ICD, gnuplot.txt and odes.sg rep. # %% # %% Revision 1.2 2001/07/03 22:59:10 gawthrop # %% Fixed problems with argument passing for CRs # %% # %% Revision 1.1 2001/06/04 08:18:52 gawthrop # %% Putting documentation under CVS # %% # %% Revision 1.66 2000/12/05 14:20:55 peterg # %% Added the c++ anf m CR info. # %% # %% Revision 1.65 2000/11/27 15:36:15 peterg # %% NOPAR --> NOTPAR # %% # %% Revision 1.64 2000/11/16 14:22:48 peterg # %% added UNITS declaration # %% # %% Revision 1.63 2000/11/03 14:41:08 peterg # %% Added PAR and NOTPAR stuff # %% # %% Revision 1.62 2000/10/17 17:53:34 peterg # %% Added some simulation details # %% # %% Revision 1.61 2000/09/14 17:13:06 peterg # %% New options table # %% # %% Revision 1.60 2000/09/14 17:09:20 peterg # %% Tidied up valid name sections # %% Tidied up defining represnetations table # %% Verion 4.6 # %% # %% Revision 1.59 2000/08/30 13:09:00 peterg # %% Updated option table # %% # %% Revision 1.58 2000/08/01 13:30:19 peterg # %% Version 4.4 # %% updated STEPFACTOR info # %% describes octave and OCST interfaces # %% # %% Revision 1.57 2000/07/20 07:55:44 peterg # %% Version 4.3 # %% # %% Revision 1.56 2000/05/19 17:49:17 peterg # %% Extended the user defined representation section -- new nppp rep. # %% # %% Revision 1.55 2000/03/16 13:53:31 peterg # %% Correct date # %% # %% Revision 1.54 2000/03/15 21:22:57 peterg # %% Updated to 4.1 -- old style SS no longer supported # %% # %% Revision 1.53 1999/12/22 05:33:10 peterg # %% Updated for 4.0 # %% # %% Revision 1.52 1999/11/23 00:25:11 peterg # %% Added the sensitivity reps # %% # %% Revision 1.51 1999/11/16 04:43:47 peterg # %% Added start of sensitivity section # %% # %% Revision 1.50 1999/11/16 00:30:35 peterg # %% Updated simulation section # %% Added vector components # %% # %% Revision 1.49 1999/07/20 23:44:58 peterg # %% V 3.8 # %% # %% Revision 1.48 1999/07/19 03:08:33 peterg # %% Added documentation for (new) SS lbl fields # %% # %% Revision 1.47 1999/03/09 01:42:22 peterg # %% Rearranged the User interface section # %% # %% Revision 1.46 1999/03/09 01:18:01 peterg # %% Updated for 3.5 including xmtt # %% # %% Revision 1.45 1999/03/03 02:39:26 peterg # %% Minor updates # %% # %% Revision 1.44 1999/02/17 06:52:14 peterg # %% New level formula dor artwork # %% # %% Revision 1.43 1998/11/25 16:49:24 peterg # %% Put in subs.r documentation (was called params.r) # %% # %% Revision 1.42 1998/11/24 12:24:59 peterg # %% Added section on simulation output # %% Version 3.4 # %% # %% Revision 1.41 1998/09/02 12:04:15 peterg # %% Version 3.2 # %% # %% Revision 1.40 1998/08/27 08:36:39 peterg # %% Removed in. methods except Euler anf implicit # %% # %% Revision 1.39 1998/08/18 10:44:28 peterg # %% Typo # %% # %% Revision 1.38 1998/08/18 09:16:38 peterg # %% Version 3.1 # %% # %% Revision 1.37 1998/08/17 16:14:30 peterg # %% Version 3.1 - includes documentation on METHOD=IMPLICIT # %% # %% Revision 1.36 1998/07/30 17:33:15 peterg # %% VERSION 3.0 # %% # %% Revision 1.35 1998/07/22 11:00:53 peterg # %% Correct date! # %% # %% Revision 1.34 1998/07/22 11:00:13 peterg # %% Version to BAe # %% # %% Revision 1.33 1998/07/17 19:32:19 peterg # %% Added more about aliases # %% # %% Revision 1.32 1998/07/05 14:21:56 peterg # %% Further additions (Carlisle-Glasgow) # %% # %% Revision 1.31 1998/07/04 11:35:57 peterg # %% Strarted new lbl description # %% # %% Revision 1.30 1998/07/02 18:39:20 peterg # %% Started 3.0 # %% Added alias and default sections. # %% # %% Revision 1.29 1998/05/19 19:46:58 peterg # %% Added the odess description # %% # %% Revision 1.28 1998/05/14 09:17:22 peterg # %% Added METHOD variable to the simpar file # %% # %% Revision 1.27 1998/05/13 10:03:09 peterg # %% Added unknown/zero SS label documentation. # %% # %% Revision 1.26 1998/04/29 15:12:46 peterg # %% Version 2.9. # %% # %% Revision 1.25 1998/04/12 17:00:26 peterg # %% Added new port features: coerced direction and top-level behaviour. # %% # %% Revision 1.24 1998/04/05 18:27:20 peterg # %% This was the 2.6 version # %% # Revision 1.23 1997/08/24 11:17:51 peterg # This is the released version 2.5 # # %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% # Parameters c = 1.0; # Default value r = 1.0; # Default value # Initial states x(1) = 0.0; # Initial state for rc (c) @end example As usual, @strong{MTT} provides a default text file to be edited by the user (@pxref{Text editors}). @node Causal bond graph (cbg), Elementary system equations, Parameters, Representations @comment node-name, next, previous, up @section Causal bond graph (cbg) @cindex Causal bond graph (cbg) The causal bond graph is the causally complete version of the Acausal bond graph (@pxref{Acausal bond graph (abg)}). To create the causal bond graph of system `sys' in language fig type: @example mtt sys cbg fig @end example To create the causal bond graph of system `sys' in language m type: @example mtt sys cbg m @end example To view the causal bond graph of system `sys' type: @example mtt sys cbg view @end example @menu * Language fig (cbg.fig):: * Language m (cbg.m):: @end menu @node Language fig (cbg.fig), Language m (cbg.m), Causal bond graph (cbg), Causal bond graph (cbg) @subsection Language fig (cbg.fig) @cindex Language fig (cbg.fig) @pindex Language fig (cbg.fig) The fig file is created by @strong{MTT}. It is identical to the corresponding acausal representation (@pxref{Language fig (abg.fig)}) except that @itemize @bullet @item the new causal strokes are added (using a double thickness line in blue) @item components that are undercausal are bold and green @item components that are overcausal are bold and red @end itemize @node Language m (cbg.m), , Language fig (cbg.fig), Causal bond graph (cbg) @comment node-name, next, previous, up @subsection Language m (cbg.m) @cindex Language m (cbg.m) @cindex cbonds @cindex status The causal bond graph of system `sys' is represented as an m file with heading: @example function [cbonds,status] = sys_cbg @end example The two outputs of this function are: @itemize @bullet @item cbonds @item status @end itemize @emph{cbonds} is a matrix with @itemize @bullet @item one row for each bond @item the first column contains the arrow-orientated (@pxref{Arrow-orientated causality}) causality of the @emph{effort} variable. @item the second column contains the arrow-orientated (@pxref{Arrow-orientated causality}) causality of the @emph{flow} variable. @end itemize @emph{status} is a matrix with @itemize @bullet @item one row for each component @item the first column contains 1 if the component is overcausal; 0 if the component is causally complete and -1 if the component is undercausal. @end itemize A successful model would therefore have all zeros in the status matrix. @menu * Transformation abg2cbg_m:: @end menu @node Transformation abg2cbg_m, , Language m (cbg.m), Language m (cbg.m) @comment node-name, next, previous, up @subsubsection Transformation abg2cbg_m @cindex Transformation abg2cbg_m This transformation takes the acausal bond graph as an m file (@pxref{Language m (abg.m)}) and transforms it into a causal bond graph in m-file format (@pxref{Language m (cbg.m)}). It is based on the m-function abg2cbg.m which iteratively tries to complete causality whilst recursively searching the bond graph structure. If causality is incomplete, it picks the first acausal dynamic (C or I) component, asserts integral causality, and tries again. This is essentially the sequential causality assignment procedure of Karnopp and Rosenberg. The transformation informs the user of the final status in terms of the percentage of causally complete components; a successful model will yield 100% here. @node Elementary system equations, Differential-Algebraic Equations, Causal bond graph (cbg), Representations @comment node-name, next, previous, up @section Elementary system equations (ese) @cindex Elementary system equations The elementary system equations are a complete set of assignment statements describing the dynamic system corresponding to the bond graph. They are in the Reduce (@pxref{Reduce}) language. Because these are based on a causally complete system, these assignment statements are directly soluble by substitution. Unlike early versions of @strong{MTT}, @strong{MTT} does @emph{not} sort the equations in order of solution, but rather leaves them sorted by component and subsystem. These are not supposed to be read by the user, so there is no view facility as such. However, you may read these with your favourite text editor and, to this end, helpful comment lines have been added. Wherever components have an explicit constitutive relationship, the corresponding RHS of the equation has a standard form. @example cr(arguments,out_causality,outport, input_1, causality_1, port_1, .... input_i, causality_i, port_i, .... input_n, causality_n, port_n ); @end example where the symbols have the following meaning @vtable @code @item arguments the constitutive relationship arguments @item out_causality the causality (effort or flow) of the output variable (@pxref{Variables}) @item outport the number (integer) of the output port of the system @item input_i the ith input to the component @item causality_i the causality (effort or flow) of the ith input variable (@pxref{Variables}) @item port_i the number (integer) of the ith input port of the system @end vtable An example for a resistor with linear constitutive relationship is: @example rc_1_bond4_flow := lin(flow,r,flow,1, rc_1_bond4_effort,effort,1 ); @end example @menu * Transformation cbg2ese_m2r:: @end menu @node Transformation cbg2ese_m2r, , Elementary system equations, Elementary system equations @comment node-name, next, previous, up @subsubsection Transformation cbg2ese_m2r @cindex Transformation cbg2ese_m2r @cindex Structure @cindex def.r This transformation takes the causal bond graph as an m file (@pxref{Language m (cbg.m)}) and transforms it into elementary system equations in Reduce (@pxref{Reduce}) form. It is based on the m-function cbg2ese.m which iteratively traverses the causal bond graph writing equations as it goes. It also writes out the system structure as the file @file{sys_def.r}. @node Differential-Algebraic Equations, Constrained-state Equations, Elementary system equations, Representations @section Differential-Algebraic Equations (dae) @cindex Differential-Algebraic Equations @cindex DAE The system differential algebraic equations describe the system dynamics together together with any algebraic constraints. They are generated in language @code{lang} for system @code{sys} by: @example mtt sys dae lang @end example Valid languages are: @vtable @code @item r reduce (@pxref{Reduce}). @item m m (@pxref{m}). @item view reduce (@pxref{Views}). @end vtable There are five sets of variables describing the system: @vtable @code @item x the system states (corresponding to C and I components with integral causality. @item z the system nonstates (corresponding to C and I components with derivative causality. @item u the system inputs (corresponding to SS components with external attribute). @item ui the @emph{internal} system inputs (corresponding to SS components with internal attribute) used to solve algebraic loops (@pxref{Algebraic loops}). @item y the system outputs (corresponding to SS components with external attribute). @end vtable In general there are four sets of equations. The right-hand side of each is a function of x, dz/dt, u and ui and the left hand sides are: @enumerate @item the derivative of x (dx/dt) @item z @item w=0 (the algebraic equations) @item y @end enumerate @menu * Differential-Algebraic Equations (reduce):: * Differential-Algebraic Equations (m):: @end menu @node Differential-Algebraic Equations (reduce), Differential-Algebraic Equations (m), Differential-Algebraic Equations, Differential-Algebraic Equations @subsection Language reduce (dae.r) @cindex Differential-Algebraic Equations (reduce) @cindex dae.r The system DAEs (@pxref{Differential-Algebraic Equations}) are represented in the reduce (@pxref{Reduce}) language as arrays containing the algebraic expressions for the right hand sides of each set of equations. The arrays are: @vtable @code @item MTTx x -- the system states (corresponding to C and I components with integral causality. @item MTTz z -- the system nonstates (corresponding to C and I components with derivative causality. @item MTTu u -- the system inputs (corresponding to SS components with external attribute). @item mttv ui -- the @emph{internal} system inputs (corresponding to SS components with internal attribute) used to solve algebraic loops (@pxref{Algebraic loops}). @item MTTy y -- the system outputs (corresponding to SS components with external attribute). @end vtable @menu * Transformation ese2dae_r:: @end menu @node Transformation ese2dae_r, , Differential-Algebraic Equations (reduce), Differential-Algebraic Equations (reduce) @subsubsection Transformation ese2dae_r @cindex Transformation ese2dae_r @pindex ese2dae_r This transformation (@pxref{What is a Transformation?}) uses Reduce (@pxref{Reduce}) to combine the elementary system equations (@pxref{Elementary system equations}) with the constitutive relationships (@pxref{Constitutive relationship}) and simplify the result. @node Differential-Algebraic Equations (m), , Differential-Algebraic Equations (reduce), Differential-Algebraic Equations @subsection Language m (dae.m) @cindex Differential-Algebraic Equations (m) @cindex dae.m The system DAEs (@pxref{Differential-Algebraic Equations}) are represented in the m (@pxref{m}) language as two m-functions of the form: @example function resid = sys_dae(dx,x,t) function y = sys_dae(dx,x,t) @end example Where x is the dae @emph{descriptor} vector and dx its time derivative; t is the time. The first function is of a form suitable for solution by DASSL; the second function can then be used to find the coresponding system output. @menu * Transformation dae_r2m:: @end menu @node Transformation dae_r2m, , Differential-Algebraic Equations (m), Differential-Algebraic Equations (m) @subsubsection Transformation dae_r2m @cindex Transformation dae_r2m @pindex dae_r2m This transformation (@pxref{What is a Transformation?}) uses Reduce (@pxref{Reduce}) to rewrite the elementary system equations (@pxref{Elementary system equations}) in m-file format (@pxref{m}) . Numerical parameters are declared as global. @node Constrained-state Equations, Ordinary Differential Equations, Differential-Algebraic Equations, Representations @section Constrained-state Equations (cse) @cindex Constrained-state Equations @cindex ODE The system constrained-state equations describe the system dynamics for a special class of systems (see the book for details). The resuting equations are of the form: @example E(x) dx/dt = f(x,u) y = g(x,u) @end example They typically occure where two or more states are constrained to be equal, or proportional, to each other. For example, two capacitors in parallel or two inertias connected by a stiff shaft. They are generated in language @code{lang} for system @code{sys} by: @example mtt sys cse lang @end example Valid languages are: @vtable @code @item r reduce (@pxref{Reduce}). @item m m (@pxref{m}). @item view reduce (@pxref{Views}). @end vtable There are three sets of variables describing the system: @vtable @code @item x the system states (corresponding to C and I components with integral causality. @item u the system inputs (corresponding to SS components with external attribute). @item y the system outputs (corresponding to SS components with external attribute). @end vtable In general there are two sets of equations. The right-hand side of each is a function of x and u and the left hand sides are: @enumerate @item the derivative of x (dx/dt) y @end enumerate @menu * Constrained-state Equations (reduce):: * Constrained-state Equations (view):: @end menu @node Constrained-state Equations (reduce), Constrained-state Equations (view), Constrained-state Equations, Constrained-state Equations @subsection Language reduce (cse.r) @cindex Constrained-state Equations (reduce) @cindex cse.r The system CSEs (@pxref{Constrained-state Equations}) are represented in the reduce (@pxref{Reduce}) language as arrays containing the algebraic expressions for the right hand sides of each set of equations. The arrays are: @vtable @code @item MTTx x -- the system states (corresponding to C and I components with integral causality. @item MTTu u -- the system inputs (corresponding to SS components with external attribute). @item MTTy y -- the system outputs (corresponding to SS components with external attribute). @end vtable together with the array containing the elements of the E matrix. @menu * Transformation dae2cse_r:: @end menu @node Transformation dae2cse_r, , Constrained-state Equations (reduce), Constrained-state Equations (reduce) @subsubsection Transformation dae2cse_r @cindex Transformation dae2cse_r @pindex dae2cse_r This transformation (@pxref{What is a Transformation?}) Reduce (@pxref{Reduce}) to find various Jacobians which are combined to find the E matrix and the constrained-state equations (@pxref{Constrained-state Equations}). @node Constrained-state Equations (view), , Constrained-state Equations (reduce), Constrained-state Equations @subsection Language m (view) @cindex Constrained-state Equations (view) @cindex view Constrained-state Equations This representation has the standard text view (@pxref{Views}). @node Ordinary Differential Equations, Descriptor matrices, Constrained-state Equations, Representations @section Ordinary Differential Equations @cindex Ordinary Differential Equations @cindex ODE The system ordinary differential equations describe the system dynamics. They are generated in language @code{lang} for system @code{sys} by: @example mtt sys ode lang @end example Valid languages are: @vtable @code @item r reduce (@pxref{Reduce}). @item m m (@pxref{m}). @item view reduce (@pxref{Views}). @end vtable There are three sets of variables describing the system: @vtable @code @item x the system states (corresponding to C and I components with integral causality. @item u the system inputs (corresponding to SS components with external attribute). @item y the system outputs (corresponding to SS components with external attribute). @end vtable In general there are two sets of equations. The right-hand side of each is a function of x and u and the left hand sides are: @enumerate @item the derivative of x (dx/dt) y @end enumerate @menu * Ordinary Differential Equations (reduce):: * Ordinary Differential Equations (m):: * Ordinary Differential Equations (view):: @end menu @node Ordinary Differential Equations (reduce), Ordinary Differential Equations (m), Ordinary Differential Equations, Ordinary Differential Equations @subsection Language reduce (ode.r) @cindex Ordinary Differential Equations (reduce) @cindex ode.r The system ODEs (@pxref{Ordinary Differential Equations}) are represented in the reduce (@pxref{Reduce}) language as arrays containing the algebraic expressions for the right hand sides of each set of equations. The arrays are: @vtable @code @item MTTx x -- the system states (corresponding to C and I components with integral causality. @item MTTu u -- the system inputs (corresponding to SS components with external attribute). @item MTTy y -- the system outputs (corresponding to SS components with external attribute). @end vtable @menu * Transformation cse2ode_r:: @end menu @node Transformation cse2ode_r, , Ordinary Differential Equations (reduce), Ordinary Differential Equations (reduce) @subsubsection Transformation cse2ode_r @cindex Transformation cse2ode_r @pindex cse2ode_r This transformation (@pxref{What is a Transformation?}) uses Reduce (@pxref{Reduce}) to invert the E matrix of the constrained-state equations (@pxref{Constrained-state Equations}) and simplify the result. @node Ordinary Differential Equations (m), Ordinary Differential Equations (view), Ordinary Differential Equations (reduce), Ordinary Differential Equations @subsection Language m (ode.m) @cindex Ordinary Differential Equations (m) @cindex ode.m The system ODEs (@pxref{Ordinary Differential Equations}) are represented in the m (@pxref{m}) language as two m-functions of the form: @example function dx = sys_ODE(x,t) function y = sys_ODE(dx,x,t) @end example Where x is the ODE @emph{state} vector and dx its time derivative; t is the time. The first function is of a form suitable for solution by odesol; the second function can then be used to find the corresponding system output. @menu * Transformation ode_r2m:: @end menu @node Transformation ode_r2m, , Ordinary Differential Equations (m), Ordinary Differential Equations (m) @subsubsection Transformation ode_r2m @cindex Transformation ode_r2m @pindex ode_r2m This transformation (@pxref{What is a Transformation?}) uses Reduce (@pxref{Reduce}) to rewrite the ordinary differential equations (@pxref{Ordinary Differential Equations}) in m-file format (@pxref{m}) . Numerical parameters are declared as global. @node Ordinary Differential Equations (view), , Ordinary Differential Equations (m), Ordinary Differential Equations @subsection Language m (view) @cindex Ordinary Differential Equations (view) @cindex view Ordinary Differential Equations This representation has the standard text view (@pxref{Views}). @node Descriptor matrices, Report, Ordinary Differential Equations, Representations @section Descriptor matrices (dm) @cindex Descriptor matrices @cindex dm The system descriptor matrices A, B, C, D and E describe the @emph{linearised} system dynamics in the form @example E dx/dt = Ax + Bu y = Cx + Du @end example They are generated in language @code{lang} for system @code{sys} by: @example mtt sys dm lang @end example Valid languages are: @vtable @code @item r reduce (@pxref{Reduce}). @item m m (@pxref{m}). @item view reduce (@pxref{Views}). @end vtable @menu * Descriptor matrices (reduce):: * Descriptor matrices (m):: @end menu @node Descriptor matrices (reduce), Descriptor matrices (m), Descriptor matrices, Descriptor matrices @subsection Language reduce (dm.r) @cindex Descriptor matrices (reduce) @cindex dm.r The system descriptor matrices (@pxref{Descriptor matrices}) are represented in the reduce (@pxref{Reduce}) language as arrays containing the four matrices. The arrays are: @vtable @code @item MTTA A @item MTTB B @item MTTA C @item MTTD D @item MTTE E @end vtable @node Descriptor matrices (m), , Descriptor matrices (reduce), Descriptor matrices @subsection Language m (dm.m) @cindex Descriptor matrices (m) @cindex dm.m The system descriptor matrices (@pxref{Descriptor matrices}) are represented in the m (@pxref{m}) language as an m-function of the form: @example function [A,B,C,D,E] = sys_dm @end example System numeric parameters (@pxref{Numeric parameters}) are passed via global variables defined in the _numpar.m file. @c (@pxref{numpar.m}). Thus the system descriptor matrices are typically generated in Octave (@pxref{Octave}) as follows: @example sys_numpar [A,B,C,D,E] = sys_dm @end example Parameters can be changed from their default values by entering their values directly into Octave (@pxref{Octave}) and then invoking @code{sys_dm}; for example @example sys_numpar par_1 = 25 par_2 = par_1 + 3 [A,B,C,D,E] = sys_dm @end example @node Report, , Descriptor matrices, Representations @section Report (rep) @cindex Report @cindex rep @strong{MTT} has a report-generator feature. The user specifies the report contents in a text file (@pxref{Report (text)}) using an appropriate text editor (@pxref{Text editors}). For example, the report can be viewed by typing @example mtt system rep view @end example @menu * Report (text):: * Report (view):: @end menu @node Report (text), Report (view), Report, Report @subsection Language text (rep.txt) @cindex Report (text) @cindex rep.txt The user specifies the report contents in a text file (@pxref{Report (text)}) using an appropriate text editor (@pxref{Text editors}). The text file contains lines which are either comments (indicated by %) or valid @strong{MTT} commands. The report will then contain appropriate sections. The following languages are supported by the report generator: @ftable @code @item m @code{octave} a high-level interactive language for numerical computation. @item r @code{reduce} a high-level interactive language for symbolic computation. @item tex @code{latex} a text processor. @item ps @code{ghostview} another document viewer. @item c @code{gcc} a c compiler. @end ftable For example: @example mtt rc abg tex mtt rc cbg ps mtt rc struc tex mtt rc ode tex mtt rc sro ps mtt rc tf tex mtt rc lmfr ps @end example The acausal bond graph (abg) (@pxref{Acausal bond graph (abg)}) with the tex language is handled in a special way: the acausal Bond Graph in fig format (@pxref{Language fig (abg.fig)}), the label file (@pxref{Labels (lbl)}) the description file (@pxref{Description (desc)}), together with corresponding subsystems are included in the report. It is recommended that the first (non-comment line) in the file should be: @example mtt <system> abg tex @end example where @code{<system>} is the name of the (top-level) system. As usual, @strong{MTT} provides a default text file to be edited by the user (@pxref{Text editors}). In the special case that the first argument to mtt (normally the system) is a directory, a default text file is provided which generates a report for all systems to be found in that directory tree. @node Report (view), , Report (text), Report @subsection Language view @cindex Report (view) @cindex view Report This representation has the standard text view (@pxref{Views}). @node Extending MTT, Languages, Representations, Top @comment node-name, next, previous, up @chapter Extending MTT @cindex Extending MTT @cindex Make @strong{MTT} has a number of built-in mechanisms for the user to extend its capabilities. As @strong{MTT} is based on `Make' it is unsurprising that some of these involve the creation of `make files'. @menu * Makefiles:: * New representations:: * Component library :: @end menu @node Makefiles, New representations, Extending MTT, Extending MTT @comment node-name, next, previous, up @section Makefiles @cindex Makefiles If a file called `Makefile' exists in the current directory, @strong{MTT} executes it using make before doing anything else. This is useful if one of the .txt files contains a reference to, for example, an octave function of which @strong{MTT} unaware. Such a function can be created using the makefile. An example `Makefile' is @example # Makefile for the Two link GMV example all: msdP_tf.m TwoLinkP_obs.m TwoLinkP_sm.m twolinkp_sm.m TwoLinkGMV_numpar.m msdP_tf.m: msdP_abg.fig mtt -q msdP tf m TwoLinkP_obs.m: TwoLinkP_abg.fig TwoLinkP_lbl.txt mtt -q TwoLinkP obs m TwoLinkP_sm.m: TwoLinkP_abg.fig TwoLinkP_lbl.txt mtt -q TwoLinkP sm m twolinkp_sm.m: TwoLinkP_sm.m cp -v TwoLinkP_sm.m twolinkp_sm.m TwoLinkGMV_numpar.m: TwoLinkGMV_numpar.txt mtt -q TwoLinkGMV numpar m @end example All of the files in the line stating `all:' are created when @strong{MTT} is executed (if they don't already exist). @node New representations, Component library , Makefiles, Extending MTT @comment node-name, next, previous, up @section New representations @cindex New representations It may be convenient to create new representations for @strong{MTT}; in particular, it is nice to be able to include the result of some numerical or symbolic computations within an @strong{MTT} report (@pxref{Report}). To create a new representation `myrep' in a language `mylang', create a file with the name @example myrep_rep.make @end example This file must contain text in `make' syntax. It is executed by @strong{MTT} and the two arguments `SYS' (the system name) and `LANG' (the language) are passed to it by @strong{MTT}. Note that @strong{MTT} cannot know of any prerequisites, but these can be explicitly included in the makefile (which may include execution of @strong{MTT} itself. The following example declares the new representation `nppp' which is created with the Octave script sys_nppp.m where `sys' is the system name. This needs a number of files (for exaample `sys_ode2odes.out') which are themselves created by @strong{MTT}. @example # -*-makefile-*- # Makefile for representation nppp # File nppp_rep.make #Copyright (C) 2000 by Peter J. Gawthrop all: $(SYS)_nppp.$(LANG) $(SYS)_nppp.view: $(SYS)_nppp.ps echo Viewing $(SYS)_nppp.ps; ghostview $(SYS)_nppp.ps& $(SYS)_nppp.ps: $(SYS)_ode2odes.out s$(SYS)_ode2odes.out \ $(SYS)_sim.m s$(SYS)_sim.m \ $(SYS)_state.m $(SYS)_sympar.m $(SYS)_numpar.m \ s$(SYS)_state.m s$(SYS)_sympar.m s$(SYS)_numpar.m \ $(SYS)_sm.m $(SYS)_def.m s$(SYS)_def.m octave $(SYS)_nppp.m $(SYS)_ode2odes.out: mtt -q -c -stdin $(SYS) ode2odes out s$(SYS)_ode2odes.out: mtt -q -c -stdin -s s$(SYS) ode2odes out $(SYS)_sim.m: mtt -q -c $(SYS) sim m s$(SYS)_sim.m: mtt -q -c -s s$(SYS) sim m $(SYS)_state.m: mtt -q $(SYS) state m $(SYS)_sympar.m : mtt -q $(SYS) sympar m $(SYS)_numpar.m: mtt -q $(SYS) numpar m s$(SYS)_state.m: mtt -q -s s$(SYS) state m s$(SYS)_sympar.m : mtt -q -s s$(SYS) sympar m s$(SYS)_numpar.m: mtt -q -s s$(SYS) numpar m $(SYS)_sm.m: mtt -q $(SYS) sm m $(SYS)_def.m: mtt -q $(SYS) def m s$(SYS)_def.m: mtt -q -s s$(SYS) def m @end example Future extensions of @strong{MTT} will use such representations stored in $MTT_REP. @node Component library , , New representations, Extending MTT @comment node-name, next, previous, up @section Component library @cindex Component library @cindex component @cindex Component library If @strong{MTT} does not recognise a component (eg named MyComponent) as a simple component (@pxref{Simple components}) or as already existing, it searches the library search path $MTT_COMPONENTS (@pxref{$MTT_COMPONENTS}) for a directory called MyComponent containing MyComponent_lbl.txt. It then copies the @emph{entire} directory into the current working directory. Thus, for example, the directory could contain MyComponent_desc.tex MyComponent_abg.fig MyComponent_lbl.txt and MyComponent_cr.r in addition to MyComponent_lbl.txt. @c node next prev up @node Languages, Language tools, Extending MTT, Top @chapter Languages @cindex Languages @pindex Languages @c node next prev up @menu * Fig:: r * m:: * Reduce:: * c:: @end menu These are a number of languages used by @strong{MTT} to implement the various representations. Each has associated Language tools (@pxref{Language tools}) to manipulate and/or view the representation. @ftable @code @item fig @code{Fig} a graphical description language. @item m @code{octave} a high-level interactive language for numerical computation. @item r @code{reduce} a high-level interactive language for symbolic computation. @item tex @code{latex} a text processor. @item dvi @code{xdvi} a document viewer. @item ps @code{ghostview} another document viewer. @item gdat @code{gnuplot} a data viewer. @item c @code{gcc} a c compiler. @item sg @code{scigraphica} a plotting package. @end ftable These tools are automatically invoked as appropriate by @strong{MTT}; but for more advanced use, these tools can be used directly on files (with the appropriate suffix) generated by @strong{MTT}. @node Fig, m, Languages, Languages @section Fig @cindex Fig @pindex Fig Please see xfig documentation. @node m, Reduce, Fig, Languages @section m @cindex m @pindex m Please see Octave documentation @ifhtml <A HREF="http://www.che.wisc.edu/octave/">Octave</A> documentation. <A HREF="http://www.mathworks.com/homepage.html">Matlab</A> documentation. @end ifhtml @node Reduce, c, m, Languages @section Reduce @cindex Reduce @pindex Reduce Please see the reduce documentation. @node c, , Reduce, Languages @comment node-name, next, previous, up @section c @cindex c @pindex c Please see the gcc documentation. @node Language tools, Administration, Languages, Top @comment node-name, next, previous, up @chapter Language tools @cindex Language tools @menu * Views:: * Xfig:: * Text editors:: * Octave:: * LaTeX:: @end menu @node Views, Xfig, Language tools, Language tools @comment node-name, next, previous, up @section Views @cindex views A number of representations (@pxref{Representations}) have a language representation which is particularly useful for viewing by the user. These views are invoked, where appropriate by the command: @example mtt sys rep view @end example where @code{sys} is the system name and @code{rep} a corresponding representation. @node Xfig, Text editors, Views, Language tools @comment node-name, next, previous, up @section Xfig @cindex Xfig @node Text editors, Octave, Xfig, Language tools @comment node-name, next, previous, up @section Text editors @cindex Text editors All representations live in text files and thus may be edited using your favourite text editor; however, the Fig (@pxref{Fig}) representation is pretty meaningless in this form and so you should use Xfig (@pxref{Xfig}) for representation in this language. Its up to you which text editor to use. I recommend emacs, but simpler (and less powerful) editors such as xedit, textedit and vi are also ok. I usually run @strong{MTT} out of an emacs shell window and keep the rest of the files in emacs buffers. @node Octave, LaTeX, Text editors, Language tools @comment node-name, next, previous, up @section Octave @cindex Octave @cindex Matlab @cindex m-files @cindex Octave interface @cindex mtt.m Octave is a numerical matrix-based language @xref{Top, ,Octave,Octave,Octave}. It is similar to Matlab in many ways. In most cases, m-files generated by @strong{MTT} can be understood by both Matlab and Octave (and no doubt other Matlab lookalikes). @strong{MTT} provides the octave function @code{mtt}. The octave command @example help mtt @end example gives the following information: @example usage: mtt (system[,representation,language]) Invokes mtt from octave to generate system_representation.language Ie equivalent to "mtt system representation language" at the shell Representation and language defualt to "sm" and "m" respectively @end example Thus for example, if octave is in the directory containing the system rc the following session generates the state matrices of the system "rc" with the defaut capacitance but resitance r=0.1. @example octave> mtt("rc"); Creating rc_rbg.m Creating rc_cmp.m Creating rc_fig.fig Creating rc_sabg.fig Creating rc_alias.txt Creating rc_alias.m Creating rc_sub.sh Creating rc_abg.m Creating rc_cbg.m (maximise integral causality) Creating rc_type.sh Creating rc_ese.r Creating rc_def.r Creating rc_struc.txt Creating rc_rdae.r Creating rc_subs.r Creating rc_cr.txt Creating rc_cr.r Copying CR SS to here from Copying CR lin to here from Creating rc_dae.r Creating rc_sympar.txt Creating rc_sympar.r Creating rc_cse.r Creating rc_sspar.r Creating rc_csm.r Creating rc_ode.r Creating rc_ss.r Creating rc_sm.r Creating rc_switch.txt 0 switches found Creating rc_sympars.txt Creating rc_sm.m Copying rc_sm.m octave> mtt("rc","numpar"); Creating rc_numpar.txt Creating rc_numpar.m Copying rc_numpar.m octave> mtt("rc","sympar"); Creating rc_sympar.m Copying rc_sympar.m octave> par = rc_numpar par = 1 1 octave> sym = rc_sympar; octave> par(sym.r) = 0.1; octave> [A,B,C,D] = rc_sm(par) A = -10 B = 10 C = 1 D = 0 octave> @end example generates the data structure rc corresponding the the bond graph of the system called `rc'. The following octave commands then generate the step reponse and bode diagram respectively: @example step(rc); bode(rc); @end example @menu * Octave control system toolbox (OCST):: * Creating GNU Octave .oct files:: * Creating Matlab .mex files:: * Embedding MTT models in Simulink:: @end menu @node Octave control system toolbox (OCST), Creating GNU Octave .oct files, Octave, Octave @comment node-name, next, previous, up @subsection Octave control system toolbox (OCST) @cindex Octave @cindex toolbox @cindex OCST @cindex control systems @cindex mtt2sys @strong{MTT} provides an interface to the Octave control system toolbox (OCST) using the mfile @code{mtt2sys}. the octave command @example help mtt2sys @end example gives the following information. @example usage: sys = mtt2sys (Name[,par]) Creates a sys structure for the Octave Control Systems Toolbox from an MTT system with name "Name" Optional second argument is system parameter list Assumes that Name_sm.m, Name_struc.m and Name_numpar.m exist @end example Thus for example, if octave is in the directory containing the system rc: @example rc = mtt2sys("rc"); @end example generates the data structure rc corresponding the the bond graph of the system called `rc'. The following octave commands then generate the step reponse and bode diagram respectively: @example step(rc); bode(rc); @end example @node Creating GNU Octave .oct files, Creating Matlab .mex files, Octave control system toolbox (OCST), Octave @comment node-name, next, previous, up @subsection Creating GNU Octave .oct files @cindex Creating GNU Octave .oct files GNU Octave dynamically loaded functions (.oct files) can be created by instructing @strong{MTT} to create the ``oct'' representation: @example mtt [options] sys ode oct @end example This will cause @strong{MTT} to create the C++ representation of the system (sys_ode.cc) and to then compile it as a shared object suitable for use within Octave. The resultant file may be used in an identical manner to the equivalent, but generally slower, interpreted .m file. Usage information for the function may be obtained within Octave in the usual manner: @example octave:1> help rc_ode rc_ode is the dynamically-linked function from the file /home/mttuser/rc/rc_ode.oct Usage: [mttdx] = rc_ode(mttx,mttu,mttt,mttpar) Octave ode representation of system rc Generated by MTT on Fri Jul 5 11:23:08 BST 2002 @end example Note that the first line of output from Octave identifies whether the compiled or interpreted function is being used. Alternatively, standard representations may be generated using the Octave DLDs by use of the ``-oct'' switch: @example mtt -oct rc odeso view @end example In order to successfully generate .oct files, Octave must be correctly configured prior to compilation and certain headers and libraries must be correctly installed on the system (@pxref{.oct file dependencies}). @node Creating Matlab .mex files, Embedding MTT models in Simulink, Creating GNU Octave .oct files, Octave @comment node-name, next, previous, up @subsection Creating Matlab .mex files @cindex Creating Matlab .mex files On GNU/Linux systems, Matlab dynamically linked executables (.mexglx files) can created by instructing @strong{MTT} to create the ``mexglx'' representation: @example mtt [options] sys ode mexglx @end example This will cause @strong{MTT} to create the C++ representation of the system (sys_ode.cc) and to then compile it as a shared object suitable for use within Matlab. If it is necessary to compile mex files for another platform, then the usual C++ representation (generated with the -cc flag) can be created and the resultant file compiled with the -DCODEGENTARGET=MATLABMEX flag on the target platform. @example mtt_machine: mtt -cc rc ode cc matlab_machine: matlab> mex -DCODEGENTARGET=MATLABMEX rc_ode.cc @end example @node Embedding MTT models in Simulink, , Creating Matlab .mex files, Octave @comment node-name, next, previous, up @subsection Embedding MTT models in Simulink @cindex Embedding MTT models in Simulink It is possible to embed @strong{MTT} functions or entire @strong{MTT} models within Simulink simulations as Sfun blocks. If the zip package is installed on the system, the command @example mtt sys sfun zip @end example will create a compressed archive containing sys.mdl, which may be embedded into a larger Simulink model. Also contained within the archive will be four sys_sfun*.c files, @itemize @bullet @item sys_sfun.c model state and output equations @item sys_sfun_ae.c model algebraic equations @item sys_sfun_input.c model inputs @item sys_sfun_interface.c interface between MTT model and Simulink @end itemize The last of these files must be edited to correctly map the inputs and outputs between the @strong{MTT} and Simulink models. The two sections to edit are clearly marked with @example @code{/* Start EDIT */} @code{....} @code{/* End EDIT */} @end example These four files should then be compiled with the Matlab ``mex'' compiler as described in the @emph{README} file in the archive. If it is desired to compile the .mex files directly from within @strong{MTT} on a machine which has the Matlab header files installed, this may be done with the command @example mtt sys sfun mexglx @end example which will generated the four .mex files and the .mdl file. In this case, the user must ensure that @emph{sys_sfun_interface.c} has been correctly edited prior to compilation. Note that solution of algebraic equations within Simulink is not possible unless the @emph{Matlab Optimisation Toolbox} is installed. @node LaTeX, , Octave, Language tools @comment node-name, next, previous, up @section LaTeX @cindex LaTeX LaTeX is a powerful text processor which @strong{MTT} uses to provide visual output. @node Administration, Glossary, Language tools, Top @comment node-name, next, previous, up @chapter Administration @cindex Administration @menu * Software components:: * REDUCE setup:: * Octave setup:: * Paths:: * File structure:: @end menu @node Software components, REDUCE setup, Administration, Administration @comment node-name, next, previous, up @section Software components @cindex Software components @strong{MTT} is built from a set of readily-available software tools. These are: @itemize @bullet @item General purpose software tools. @item Octave (@pxref{Octave setup}) @item REDUCE (@pxref{REDUCE setup}) @end itemize The General purpose tools are (these will all be available with a standard Linux distribution): @vtable @code @item sh Bourne shell @item gmake Gnu make @item gawk Gnu awk @item sed Gnu sed @item grep Gnu grep @item comm Gnu Compare sorted files by line @item xfig Figure editor, version 3 or greater. @item fig2dev Fig file conversion, version 3 or greater. @item ghostview postscript viewer @item xdvi dvi viewer @item dvips dvi to postscript conversion @item latex the text processor (LaTeX2e needed) @item latex2html converts latex to html @item perl needed for latex2html @item gnuplot a graph plotting program @item gnuscape or other web/html browser such as netscape, Red Baron etc. @item gcc GNU c compiler @end vtable @ifhtml <A HREF="http://home.pages.de/~GNU/">GNU</A> documentation. @end ifhtml @node REDUCE setup, Octave setup, Software components, Administration @comment node-name, next, previous, up @section REDUCE setup @cindex REDUCE setup Symbolic algebra is performed by REDUCE, which although not free software is the the result of international collaboration. The version I use is obtained from: @quotation ZIB ( http://www.zib.de ) @end quotation @ifhtml <A HREF="http://www.rrz.uni-koeln.de/REDUCE/">REDUCE</A> documentation. <A HREF="http://www.zib.de">ZIB</A> documentation. @end ifhtml @node Octave setup, Paths, REDUCE setup, Administration @comment node-name, next, previous, up @section Octave setup @cindex Octave setup Octave is available at various web sites including: @uref{http://www.octave.org} @menu * .octaverc:: * .oct file dependencies:: @end menu @node .octaverc, .oct file dependencies, Octave setup, Octave setup @comment node-name, next, previous, up @subsection .octaverc @vindex .octaverc The @file{.octaverc} file should contain the following lines: @example %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %% Startup file for Octave for use with MTT %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% implicit_str_to_num_ok = 1; empty_list_elements_ok = 1; @end example @node .oct file dependencies, , .octaverc, Octave setup @comment node-name, next, previous, up Additionally, it is necessary to @subsection .oct file dependencies Successful compilation of .oct code requires that Octave has been configured to use dynamically linked libraries and that the Octave libraries @code{liboctave}, @code{libcruft} and @code{liboctinterp} are available on the system. This can be acheived by compiling Octave from the source code, configured with the options @code{--enable-shared} and @code{--enable-dl}. A number of additional libraries and headers are also required to be installed on a system. These include, @itemize @bullet @item @emph{ncurses} and @emph{readline} terminal control routines @item @emph{blas} or @emph{altas} basic linear algebra subprograms, usually optimised for the specific processor @item @emph{fftw} fast Fourier transform routines @item @emph{g2c} GNU Fortran to C conversion routines @item @emph{kpathsea} TeX path search routines @end itemize Note that on many GNU/Linux distributions, the necessary headers are contained in development packages which must be installed in addition to the standard library package. Further information on configuring and installing Octave to handle dynamic libraries (DLDs) can be found in the @uref{http://www.octave.org/docs.html,Octave documentation}. @node Paths, File structure, Octave setup, Administration @comment node-name, next, previous, up @section Paths @cindex paths @cindex mttrc There are a number of paths that must be set correctely for @strong{MTT} to work. These are normally set up by sourcing the file @code{mttrc} that lives in the @strong{MTT} home directory. @menu * $MTTPATH:: * $MTT_COMPONENTS:: * $MTT_CRS:: * $MTT_EXAMPLES:: * $OCTAVE_PATH:: @end menu @node $MTTPATH, $MTT_COMPONENTS, Paths, Paths @comment node-name, next, previous, up @subsection $MTTPATH @vindex $MTTPATH The environment variable $MTTPATH points to the mtt home directory. This is usually @code{/usr/local/lib/mtt}. @node $MTT_COMPONENTS, $MTT_CRS, $MTTPATH, Paths @comment node-name, next, previous, up @subsection $MTT_COMPONENTS @vindex $MTT_COMPONENTS The environment variable $MTT_COMPONENTS is a colon-separated path pointing to directories containing components and subsystems. By default @example MTT_COMPONENTS=.:$MTT_LIB/lib/comp/ @end example but you may wish to add your own component libraries: @example MTT_COMPONENTS=my_library_path:$MTT_COMPONENTS @end example @node $MTT_CRS, $MTT_EXAMPLES, $MTT_COMPONENTS, Paths @comment node-name, next, previous, up @subsection $MTT_CRS @vindex $MTT_CRS The environment variable $MTT_CRS is a colon-separated path pointing to directories containing constitutive relationships. By default @example MTT_CRS=$MTTPATH/lib/cr @end example but you may wish to add your own component libraries: @example MTT_CRS=my_cr_path:$MTT_CRS @end example @node $MTT_EXAMPLES, $OCTAVE_PATH, $MTT_CRS, Paths @comment node-name, next, previous, up @subsection $MTT_EXAMPLES @vindex $MTT_EXAMPLES The environment variable $MTT_EXAMPLES is a colon-separated path pointing to directories containing EXAMPLES and subsystems. By default @example MTT_EXAMPLES=$MTTPATH/lib/examples @end example but you may wish to add your own component libraries: @example MTT_EXAMPLES=my_examples_path:$MTT_EXAMPLES @end example @node $OCTAVE_PATH, , $MTT_EXAMPLES, Paths @comment node-name, next, previous, up @subsection $OCTAVE_PATH @vindex $OCTAVE_PATH The @code{$OCTAVE_PATH} path must include the relevant paths for mtt to work properly. In particular, it must include: @example $MTTPATH/trans/m $MTTPATH/lib/comp/simple $MTTPATH/lib/comp/compound @end example @node File structure, , Paths, Administration @comment node-name, next, previous, up @section File structure @cindex File structure The recommended installation of @strong{MTT} uses the following directory structure with corresponding contents. Normally, each of the listed directories is a subdirectory of @file{/usr/local}. The directory @code{mtt} is pointed to by $MTTPATH (@pxref{$MTTPATH}). @vtable @file @item mtt/bin This is the home directory for @strong{MTT}. @strong{MTT} itself lives here along with @file{mttrc}. @item mtt/bin/trans The transformations executed by @strong{MTT}. @item mtt/bin/trans/m The @code{m-files} associated with the transformations. @item mtt/bin/trans/awk The @code{awk} scripts associated with the transformations. @item mtt/lib The place for components, examples and CRs which will be updated. @item mtt/lib/comp/simple @cindex simple components The @code{m-files} defining the simple components. @cindex compound components @item mtt/lib/comp/compound The @code{m-files} defining the compound components. @item mtt/lib/cr/r constitutive relationship definitions @item mtt/lib/examples Some examples. @item mtt/examples/metamodelling Examples from the book. @item mtt/doc The documentation files for @strong{MTT}. @item mtt/doc/Examples Examples used in the documentation. @end vtable @node Glossary, Index, Administration, Top @comment node-name, next, previous, up @unnumbered Glossary @printindex fn @node Index, , Glossary, Top @comment node-name, next, previous, up @unnumbered Index @printindex cp @contents @bye |
Added mttroot/mtt/lib/rep/ident_rep.make version [042982e678].
> > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 | # -*-makefile-*- # Makefile for representation ident # File ident_rep.make #Copyright (C) 2000,2001,2002 by Peter J. Gawthrop ## Model targets model_reps = ${SYS}_sympar.m ${SYS}_simpar.m ${SYS}_state.m model_reps += ${SYS}_numpar.m ${SYS}_input.m ${SYS}_ode2odes.m model_reps += ${SYS}_def.m ## Prepend s to get the sensitivity targets sensitivity_reps = ${model_reps:%=s%} ## Simulation targets sims = ${SYS}_sim.m s${SYS}_ssim.m ## m-files needed for ident ident_m = ${SYS}_ident.m ${SYS}_ident_numpar.m ## Targets for the ident simulation ident_reps = ${ident_m} ${sims} ${model_reps} ${sensitivity_reps} ## ps output files psfiles = ${SYS}_ident.ps ${SYS}_ident.basis.ps ${SYS}_ident.par.ps ${SYS}_ident.U.ps figfiles = ${psfiles:%.ps=%.fig} all: ${SYS}_ident.${LANG} echo: echo "sims: ${sims}" echo "model_reps: ${model_reps}" echo "sensitivity_reps: ${sensitivity_reps}" echo "ident_reps: ${ident_reps}" ${SYS}_ident.view: ${SYS}_ident.ps ident_rep.sh ${SYS} view ${psfiles}: ${SYS}_ident.fig ident_rep.sh ${SYS} ps ${SYS}_ident.gdat: ${SYS}_ident.dat2 ident_rep.sh ${SYS} gdat ${SYS}_ident.fig ${SYS}_ident.dat2: ${ident_reps} ident_rep.sh ${SYS} dat2 ${SYS}_ident.m: ident_rep.sh ${SYS} m ${SYS}_ident_numpar.m: ident_rep.sh ${SYS} numpar.m ## System model reps ## Generic txt files ${SYS}_%.txt: mtt ${OPTS} -q -stdin ${SYS} $* txt ## Specific m files ${SYS}_ode2odes.m: ${SYS}_rdae.r mtt -q -stdin ${OPTS} ${SYS} ode2odes m ${SYS}_sim.m: ${SYS}_ode2odes.m mtt ${OPTS} -q -stdin ${SYS} sim m ## Generic txt to m ${SYS}_%.m: ${SYS}_%.txt mtt ${OPTS} -q -stdin ${SYS} $* m ## r files ${SYS}_def.r: ${SYS}_abg.fig mtt ${OPTS} -q -stdin ${SYS} def r ${SYS}_rdae.r: mtt ${OPTS} -q -stdin ${SYS} rdae r ## Sensitivity model reps ## Generic txt files s${SYS}_%.txt: mtt ${OPTS} -q -stdin -s s${SYS} $* txt ## Specific m files s${SYS}_ode2odes.m: s${SYS}_rdae.r mtt -q -stdin ${OPTS} -s s${SYS} ode2odes m s${SYS}_ssim.m: mtt -q -stdin ${OPTS} -s s${SYS} ssim m s${SYS}_def.m: mtt -q -stdin ${OPTS} -s s${SYS} def m ## Generic txt to m s${SYS}_%.m: s${SYS}_%.txt mtt ${OPTS} -q -stdin s${SYS} $* m ## r files s${SYS}_rdae.r: mtt ${OPTS} -q -stdin -s s${SYS} rdae r |
Added mttroot/mtt/lib/rep/ident_rep.sh version [509586cb1e].
> > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 | #! /bin/sh ## ident_rep.sh ## DIY representation "ident" for mtt # Copyright (C) 2002 by Peter J. Gawthrop sys=$1 rep=ident lang=$2 mtt_parameters=$3 rep_parameters=$4 ## Some names target=${sys}_${rep}.${lang} def_file=${sys}_def.r dat2_file=${sys}_ident.dat2 dat2s_file=${sys}_idents.dat2 ident_numpar_file=${sys}_ident_numpar.m option_file=${sys}_ident_mtt_options.txt ## Get system information if [ -f "${def_file}" ]; then echo Using ${def_file} else mtt -q ${sys} def r fi ny=`mtt_getsize $1 y` nu=`mtt_getsize $1 u` check_new_options() { if [ -f "${option_file}" ]; then old_options=`cat ${option_file}` if [ "${mtt_options}" != "${old_options}" ]; then echo ${mtt_options} > ${option_file} fi else echo ${mtt_options} > ${option_file} fi } ## Make the _ident.m file make_ident() { filename=${sys}_${rep}.m echo Creating ${filename} cat > ${filename} <<EOF function [y,u,t] = ${sys}_ident (last, ppp_names, par_names, A_u, A_w, w, Q, extras) ## usage: [y,u,t] = ${sys}_ident (last, ppp_names, par_names, A_u, A_w, w, Q, extras) ## ## last last time in run ## ppp_names Column vector of names of ppp params ## par_names Column vector of names of estimated params ## extras Structure containing additional info ##Sanity check if nargin<2 printf("Usage: [y,u,t] = ${sys}_ident(N, ppp_names[, par_names, extras])\n"); return endif if nargin<4 ## Set up optional parameters extras.criterion = 1e-3; extras.emulate_timing = 0; extras.max_iterations = 15; extras.simulate = 1; extras.v = 1e-6; extras.verbose = 0; extras.visual = 1; endif ## System info [n_x,n_y,n_u,n_z,n_yz] = ${sys}_def; sympar = ${sys}_sympar; simpar = ${sys}_simpar; sympars = s${sys}_sympar; simpars = s${sys}_simpar; t_ol = simpar.last; ## Number of intervals needed N = ceil(last/t_ol); ## Setpoints if extras.verbose printf("Open-loop interval %3.2f \n", simpar.last); printf(" -- using info in ${sys}_simpar.txt\n"); printf("PPP optimisation from %3.2f to %3.2f\n", simpars.first, simpars.last); printf(" -- using info in s${sys}_simpar.txt\n"); endif t_horizon = [simpars.first+simpars.dt:simpars.dt:simpars.last]'; w_s = ones(length(t_horizon)-1,1)*w'; ## Setup the indices of the adjustable stuff if nargin<2 i_ppp = [] else i_ppp = ppp_indices (ppp_names,sympar,sympars); # Parameters endif n_ppp = length(i_ppp(:,1)); if nargin<3 i_par = [] else i_par = ppp_indices (par_names,sympar,sympars); # Parameters endif ## Do some simulations to check things out ## System itself par = ${sys}_numpar; x_0_ol = ${sys}_state(par); [y_ol,x_ol, t_ol] = ${sys}_sim(x_0_ol, par, simpar, ones(1,n_u)); simpar_OL = simpar; simpar_OL.last = simpars.last; [y_OL,x_OL, t_OL] = ${sys}_sim(x_0_ol, par, simpar_OL, ones(1,n_u)); pars = s${sys}_numpar; x_0_ppp = s${sys}_state(pars); [y_ppp,y_par,x_ppp, t_ppp] = s${sys}_ssim(x_0_ppp, pars, simpars, ones(1,n_u)); simpar_PPP = simpars; simpar_PPP.first = simpar.first; [y_PPP,y_par,x_PPP, t_PPP] = s${sys}_ssim(x_0_ppp, pars, simpar_PPP, ones(1,n_u)); ## Basis functions Us = ppp_ustar(A_u,1,t_OL',0,0)'; if extras.visual #Show some graphs figure(2); grid; title("Outputs of ${sys}_sim and s${sys}_ssim"); plot(t_ol,y_ol, '*', t_ppp, y_ppp, '+', t_OL, y_OL, t_PPP, y_PPP); figure(3); grid; title("Basis functions"); plot(t_OL, Us); endif ## Do it [y,u,t,P,U,t_open,t_ppp,t_est,its_ppp,its_est] \ = ppp_nlin_run ("${sys}",i_ppp,i_par,A_u,w_s,N,Q,extras); ## Compute values at ends of ol intervals T_open = cumsum(t_open); T_open = T_open(1:length(T_open)-1); # Last point not in t j=[]; for i = 1:length(T_open) j = [j; find(T_open(i)*ones(size(t))==t)]; endfor y_open = y(j,:); u_open = u(j,:); ## Plots gset nokey gset nogrid #eval(sprintf("gset xtics %g", simpar.last)); #gset noytics gset format x "%.1f" gset format y "%.2f" gset term fig monochrome portrait fontsize 20 size 20 20 metric \ thickness 4 gset output "${sys}_ident.fig" title(""); xlabel("Time (s)"); ylabel("u"); subplot(2,1,2); plot(t,u,'-', T_open, u_open,"+"); #subplot(2,1,2); plot(t,u); ylabel("y"); subplot(2,1,1); plot(t,y,'-', T_open, y_open,"+"); #subplot(2,1,1); plot(t,y); oneplot; gset term fig monochrome portrait fontsize 20 size 20 10 metric \ thickness 4 gset output "${sys}_ident.basis.fig" title(""); xlabel("Time (s)"); ylabel("Basis functions"); plot(t_OL, Us); ## Create plot against time TTT = [ [0;T_open] [T_open; last] ]'; TT = TTT(:); [n,m] = size(P); if m>0 P = P(1:n-1,:); # Loose last point PP = []; for j=1:m pp = [P(:,j) P(:,j)]'; PP = [PP pp(:)]; endfor oneplot; gset output "${sys}_ident.par.fig" title(""); xlabel("Time (s)"); ylabel("Parameters"); plot(TT,PP); endif [n,m] = size(U); if m>0 oneplot; gset output "${sys}_ident.U.fig" title(""); xlabel("Time (s)"); ylabel("U"); [n,m] = size(U); U = U(1:n-1,:); # Loose last point UU = []; for j=1:m uu = [U(:,j) U(:,j)]'; UU = [UU uu(:)]; endfor plot(TT,UU); endif endfunction EOF } make_ident_numpar() { echo Creating ${ident_numpar_file} cat > ${sys}_ident_numpar.m <<EOF function [last, ppp_names, par_names, A_u, A_w, w, Q, extras] = ${sys}_ident_numpar ## usage: [last, ppp_names, par_names, A_u, A_w, w, Q, extras] = ${sys}_ident_numpar () ## ## ## Last time of run last = 10; ## Specify basis functions A_w = zeros(1,1); n_ppp = ${nu}; A_u = ppp_aug(A_w,laguerre_matrix(n_ppp-1,2.0)); ## Names of ppp parameters ppp_names = ""; for i=1:n_ppp name = sprintf("ppp_%i", i); ppp_names = [ppp_names; name]; endfor ## Estimated parameters par_names = []; ## Weights Q = ones(${ny},1); ## Setpoint w = zeros(${ny},1); w(1) = 1; ## Set up optional parameters extras.criterion = 1e-3; extras.emulate_timing = 0; extras.max_iterations = 15; extras.simulate = 1; extras.v = 1e-6; extras.verbose = 0; extras.visual = 0; endfunction EOF } make_dat2() { ## Inform user echo Creating ${dat2_file} ## Use octave to generate the data octave -q <<EOF [last, ppp_names, par_names, A_u, A_w, w, Q, extras] = ${sys}_ident_numpar; [y,u,t] = ${sys}_ident(last, ppp_names, par_names, A_u, A_w, w, Q, extras); data = [t,y,u]; save -ascii ${dat2_file} data EOF } case ${lang} in numpar.m) ## Make the numpar stuff make_ident_numpar; ;; m) ## Make the code make_ident; ;; dat2|fig|basis.fig|par.fig|U.fig) ## The dat2 language (output data) & fig file rm ${sys}_ident*.fig make_dat2; ;; gdat) cp ${dat2_file} ${dat2s_file} dat22dat ${sys} ${rep} dat2gdat ${sys} ${rep} ;; ps|basis.ps|par.ps|U.ps) figs=`ls ${sys}_ident*.fig | sed -e 's/\.fig//'` echo $figs for fig in ${figs}; do fig2dev -Leps ${fig}.fig > ${fig}.ps done ;; view) pss=`ls ${sys}_ident*.ps` echo Viewing ${pss} for ps in ${pss}; do gv ${ps}& done ;; *) echo Language ${lang} not supported by ${rep} representation exit 3 esac |