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Comment:Works with ident DIY rep
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SHA3-256: b135670b5f6829a88ba2270489cef5e5a9405c3da0eec28c5bed12e938d35e00
User & Date: gawthrop@users.sourceforge.net on 2002-08-20 15:43:45
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Context
2002-08-20
15:51:17
Update to work with ident DIY rep check-in: 743fd2bdd3 user: gawthrop@users.sourceforge.net tags: origin/master, trunk
15:43:45
Works with ident DIY rep check-in: b135670b5f user: gawthrop@users.sourceforge.net tags: origin/master, trunk
15:39:47
New identification DIY reps check-in: bca1a038ac user: gawthrop@users.sourceforge.net tags: origin/master, trunk
Changes
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Modified mttroot/mtt/lib/control/PPP/ppp_optimise.m from [d54b2723b3] to [a2aa18325f].

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



  ## Revision 1.11  2002/05/20 13:32:36  gawthrop
  ## Sanity check on y_0
  ##
  ## Revision 1.10  2002/05/13 16:01:09  gawthrop
  ## Addes Q weighting matrix
  ##
  ## Revision 1.9  2002/05/08 10:14:21  gawthrop








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  ######################################
  
  ###############################################################
  ## Version control history
  ###############################################################
  ## $Id$
  ## $Log$
  ## Revision 1.12  2002/06/11 11:25:25  gawthrop
  ## No longer delay the simulated data.
  ##
  ## Revision 1.11  2002/05/20 13:32:36  gawthrop
  ## Sanity check on y_0
  ##
  ## Revision 1.10  2002/05/13 16:01:09  gawthrop
  ## Addes Q weighting matrix
  ##
  ## Revision 1.9  2002/05/08 10:14:21  gawthrop
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  ##
  ## Revision 1.1  2000/12/28 11:58:07  peterg
  ## Put under CVS
  ##
  ###############################################################


  ## Copyright (C) 1999,2000 by Peter J. Gawthrop


  sim_command = sprintf("%s_ssim(x_0,par,simpar,u,i_s)", system_name);

  ## Extract indices
  i_t = free(:,1);		# Parameters
  i_s = free(:,2)';		# Sensitivities

  if nargin<9








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  ##
  ## Revision 1.1  2000/12/28 11:58:07  peterg
  ## Put under CVS
  ##
  ###############################################################


  ## Copyright (C) 1999,2000,2001,2002 by Peter J. Gawthrop

  ## Simulation command
  sim_command = sprintf("%s_ssim(x_0,par,simpar,u,i_s)", system_name);

  ## Extract indices
  i_t = free(:,1);		# Parameters
  i_s = free(:,2)';		# Sensitivities

  if nargin<9
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    printf("\n");
  endif
  
  while (abs(reduction)>extras.criterion)&&\
	(abs(err)>extras.criterion)&&\
	(iterations<extras.max_iterations)

    iterations = iterations + 1 # Increment iteration counter

    [y,y_par,x] = eval(sim_command); # Simulate
    [N_data,N_y] = size(y)

    if (N_y!=n_y)
      mess = sprintf("n_y (%i) in data not same as n_y (%i) in model", n_y,N_y);
      error(mess);
    endif

    ## Use the last part of the simulation to compare with data
    ## ### Removed #### And shift back by one data point
#     if ( (N_data-n_data)<1 )
#       error(sprintf("y_0 (%i) must be shorter than y (%i)", n_data, N_data));
#     endif
    
    y = y(N_data-n_data+1:N_data,:);
    y_par = y_par(N_data-n_data+1:N_data,:);

    if extras.visual==1
      ## Plot
      title("Optimisation data");
      plot([y y_0])








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    printf("\n");
  endif
  
  while (abs(reduction)>extras.criterion)&&\
	(abs(err)>extras.criterion)&&\
	(iterations<extras.max_iterations)

    iterations = iterations + 1; # Increment iteration counter

    [y,y_par,x] = eval(sim_command); # Simulate
    [N_data,N_y] = size(y);

    if (N_y!=n_y)
      mess = sprintf("n_y (%i) in data not same as n_y (%i) in model", n_y,N_y);
      error(mess);
    endif

    ## Use the last part of the simulation to compare with data
    ## ### Removed #### And shift back by one data point
#     if ( (N_data-n_data)<1 )
#       error(sprintf("y_0 (%i) must be shorter than y (%i)", n_data, N_data));
#     endif

    y = y(N_data-n_data+1:N_data,:);
    y_par = y_par(N_data-n_data+1:N_data,:);

    if extras.visual==1
      ## Plot
      title("Optimisation data");
      plot([y y_0])
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MTT: Model Transformation Tools
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