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Comment:Tidied up the optimisation stuff
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SHA3-256: ca9ae39eaab3bd71115eac98a6013fdfbfbc8635ffa5a65317c91ae5e10c70b5
User & Date: gawthrop@users.sourceforge.net on 2001-08-10 16:19:06
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Context
2001-08-10
16:20:43
Fixed error and added test system check-in: 722c460774 user: gawthrop@users.sourceforge.net tags: origin/master, trunk
16:19:06
Tidied up the optimisation stuff check-in: ca9ae39eaa user: gawthrop@users.sourceforge.net tags: origin/master, trunk
2001-08-09
03:09:23
Fixed zeroing of initial guess of unknown inputs. check-in: 67b14533e7 user: geraint@users.sourceforge.net tags: origin/master, trunk
Changes
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Added mttroot/mtt/lib/control/PPP/ppp_error.m version [3cf9868bce]. 







































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function err = ppp_error(par)

  ## usage:  err = error (par)
  ##
  ## 

  global ppp_y_0 ppp_sim_command ppp_par ppp_i_par ppp_x0 ppp_sim ppp_u
  
  pars = ppp_par;
  pars(ppp_i_par) = par;
  
  y = sidSimpleExtruder_ssim(ppp_x0,pars,ppp_sim,ppp_u);
  
  [N,n_y] = size(y);

  Err = y - ppp_y_0;
  err = sum(diag(Err'*Err))/N
endfunction

Modified mttroot/mtt/lib/control/PPP/ppp_identify.m from [842e30c8e0] to [fae8c72792].

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  s_system_name = sprintf("s%s", system_name); # Name of sensitivity system

  ## Set up parameters
  sim = eval([s_system_name, "_simpar;"]); # Simulation parameter
  sym = eval([s_system_name, "_sympar;"]); # Parameter names
  x0  = eval([s_system_name, "_state(par_0);"]); # Initial state

  ## Set up the free parameter list
  free = [];
  [n,m] = size(par_names);
  for i = 1:n
    p_name = deblank(par_names(i,:));
    s_name = sprintf("%ss", p_name);
    if struct_contains(sym, p_name)
      i_p = eval(sprintf("sym.%s;", p_name));
      if struct_contains(sym, s_name)
	i_s = eval(sprintf("sym.%s;", s_name));
	free_i = eval(sprintf("[%i,%i];", i_p, i_s));
	free = [free; free_i];
      else
	printf("Sensitivity parameter %s does not exist: ignoring \
	parameter %s\n", s_name, p_name);
      endif
    else
      printf("Parameter %s does not exist: ignoring\n", p_name)
    endif
  endfor
  

  [par,Par,Error,Y] = ppp_optimise(s_system_name,x0,par_0,sim,u,y_0,free,extras);

endfunction















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  s_system_name = sprintf("s%s", system_name); # Name of sensitivity system

  ## Set up parameters
  sim = eval([s_system_name, "_simpar;"]); # Simulation parameter
  sym = eval([s_system_name, "_sympar;"]); # Parameter names
  x0  = eval([s_system_name, "_state(par_0);"]); # Initial state

#   ## Set up the free parameter list
#   free = [];
#   [n,m] = size(par_names);
#   for i = 1:n
#     p_name = deblank(par_names(i,:));
#     s_name = sprintf("%ss", p_name);
#     if struct_contains(sym, p_name)
#       i_p = eval(sprintf("sym.%s;", p_name));
#       if struct_contains(sym, s_name)
# 	i_s = eval(sprintf("sym.%s;", s_name));
# 	free_i = eval(sprintf("[%i,%i];", i_p, i_s));
# 	free = [free; free_i];
#       else
# 	printf("Sensitivity parameter %s does not exist: ignoring \
# 	parameter %s\n", s_name, p_name);
#       endif
#     else
#       printf("Parameter %s does not exist: ignoring\n", p_name)
#     endif
#   endfor
#   free
  free = ppp_indices(par_names,sym);
  [par,Par,Error,Y] = ppp_optimise(s_system_name,x0,par_0,sim,u,y_0,free,extras);

endfunction

Added mttroot/mtt/lib/control/PPP/ppp_indices.m version [83cf0feda3]. 

































































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function indices = ppp_indices (names,sympar)

  ## usage:  indices = ppp_indices (names,sympar)
  ##
  ## names: column vector of component names
  ## sympar: mtt-generated data structure od symbolic parameters


  ## Set up the
  indices = [];
  [n,m] = size(names);
  for i = 1:n
    p_name = deblank(names(i,:));
    s_name = sprintf("%ss", p_name);
    if struct_contains(sympar, p_name)
      i_p = eval(sprintf("sympar.%s;", p_name));
      if struct_contains(sympar, s_name)
	i_s = eval(sprintf("sympar.%s;", s_name));
	indices_i = eval(sprintf("[%i,%i];", i_p, i_s));
	indices = [indices; indices_i];
      else
	printf("Sensitivity parameter %s does not exist: ignoring \
	parameter %s\n", s_name, p_name);
      endif
    else
      printf("Parameter %s does not exist: ignoring\n", p_name)
    endif
  endfor
  

endfunction

Modified mttroot/mtt/lib/control/PPP/ppp_optimise.m from [1dce967d13] to [87f475bb1d].

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  ######################################
  
  ###############################################################
  ## Version control history
  ###############################################################
  ## $Id$
  ## $Log$



  ## Revision 1.5  2001/06/06 07:54:38  gawthrop
  ## Further fixes to make nonlinear PPP work ...
  ##
  ## Revision 1.4  2001/05/26 15:46:38  gawthrop
  ## Updated to account for new nonlinear ppp
  ##
  ## Revision 1.3  2001/04/05 11:50:12  gawthrop








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  ######################################
  
  ###############################################################
  ## Version control history
  ###############################################################
  ## $Id$
  ## $Log$
  ## Revision 1.6  2001/07/03 22:59:10  gawthrop
  ## Fixed problems with argument passing for CRs
  ##
  ## Revision 1.5  2001/06/06 07:54:38  gawthrop
  ## Further fixes to make nonlinear PPP work ...
  ##
  ## Revision 1.4  2001/05/26 15:46:38  gawthrop
  ## Updated to account for new nonlinear ppp
  ##
  ## Revision 1.3  2001/04/05 11:50:12  gawthrop
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    endif
    
    ## Use the last part of the simulation to compare with data
    y = y(1+N_data-n_data:N_data,:);
    y_par = y_par(1+N_data-n_data:N_data,:);

    if extras.verbose		# Diagnostics
      printf("y and y_0\n");
      [y,y_0]
    endif
    
    ##Evaluate error, cost derivative J and cost second derivative JJ
    error = 0; 
    J = zeros(n_th,1);
    JJ = zeros(n_th,n_th);
    








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    endif
    
    ## Use the last part of the simulation to compare with data
    y = y(1+N_data-n_data:N_data,:);
    y_par = y_par(1+N_data-n_data:N_data,:);

    if extras.verbose		# Diagnostics
##      printf("y and y_0\n");
##      [y,y_0]
    endif
    
    ##Evaluate error, cost derivative J and cost second derivative JJ
    error = 0; 
    J = zeros(n_th,1);
    JJ = zeros(n_th,n_th);
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