annotate m-toolbox/classes/@ssm/simulate.m @ 0:f0afece42f48

Import.
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Wed, 23 Nov 2011 19:22:13 +0100
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Daniele Nicolodi <nicolodi@science.unitn.it>
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1 % SIMULATE simulates a discrete ssm with given inputs
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Daniele Nicolodi <nicolodi@science.unitn.it>
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2 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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Daniele Nicolodi <nicolodi@science.unitn.it>
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3 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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4 % DESCRIPTION: SIMULATE simulates a discrete ssm with given inputs.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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5 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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6 % CALL: [mat_out pl_out] = simulate(sys, pl)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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7 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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8 % INPUTS:
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Daniele Nicolodi <nicolodi@science.unitn.it>
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9 % - sys, (array of) ssm object
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Daniele Nicolodi <nicolodi@science.unitn.it>
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10 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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11 % OUTPUTS:
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Daniele Nicolodi <nicolodi@science.unitn.it>
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12 % _ mat_out contains specified returned aos
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Daniele Nicolodi <nicolodi@science.unitn.it>
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13 % _ pl_out contains 'lastX', the last state position
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Daniele Nicolodi <nicolodi@science.unitn.it>
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14 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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15 % <a href="matlab:utils.helper.displayMethodInfo('ssm', 'simulate')">Parameters Description</a>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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16 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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17 % VERSION: $Id: simulate.m,v 1.104 2011/07/11 10:44:38 adrien Exp $
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Daniele Nicolodi <nicolodi@science.unitn.it>
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18 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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19 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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Daniele Nicolodi <nicolodi@science.unitn.it>
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20
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Daniele Nicolodi <nicolodi@science.unitn.it>
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21 % TO DO: options to be defined (NL case)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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22 % allow use of other LTPDA functions to generate white noise
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Daniele Nicolodi <nicolodi@science.unitn.it>
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23
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Daniele Nicolodi <nicolodi@science.unitn.it>
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24
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Daniele Nicolodi <nicolodi@science.unitn.it>
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25 function varargout = simulate(varargin)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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26
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Daniele Nicolodi <nicolodi@science.unitn.it>
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27 %% starting initial checks
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Daniele Nicolodi <nicolodi@science.unitn.it>
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28
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Daniele Nicolodi <nicolodi@science.unitn.it>
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29 % use the caller is method flag
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Daniele Nicolodi <nicolodi@science.unitn.it>
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30 callerIsMethod = utils.helper.callerIsMethod;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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31
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Daniele Nicolodi <nicolodi@science.unitn.it>
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32 % Check if this is a call for parameters
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Daniele Nicolodi <nicolodi@science.unitn.it>
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33 if utils.helper.isinfocall(varargin{:})
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Daniele Nicolodi <nicolodi@science.unitn.it>
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34 varargout{1} = getInfo(varargin{3});
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Daniele Nicolodi <nicolodi@science.unitn.it>
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35 return
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Daniele Nicolodi <nicolodi@science.unitn.it>
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36 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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37
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Daniele Nicolodi <nicolodi@science.unitn.it>
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38 utils.helper.msg(utils.const.msg.PROC3, ['running ', mfilename]);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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39
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Daniele Nicolodi <nicolodi@science.unitn.it>
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40 % Collect input variable names
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Daniele Nicolodi <nicolodi@science.unitn.it>
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41 in_names = cell(size(varargin));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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42 for ii = 1:nargin,in_names{ii} = inputname(ii);end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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43
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Daniele Nicolodi <nicolodi@science.unitn.it>
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44 % Collect all SSMs and plists
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Daniele Nicolodi <nicolodi@science.unitn.it>
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45 [sys, ssm_invars, rest] = utils.helper.collect_objects(varargin(:), 'ssm', in_names);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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46 [pl, invars2, rest] = utils.helper.collect_objects(rest(:), 'plist');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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47 if ~isempty(rest)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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48 pl = combine(pl, plist(rest{:}));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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49 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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50 pl = combine(pl, getDefaultPlist());
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Daniele Nicolodi <nicolodi@science.unitn.it>
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51
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Daniele Nicolodi <nicolodi@science.unitn.it>
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52
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Daniele Nicolodi <nicolodi@science.unitn.it>
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53 %% begin function body
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Daniele Nicolodi <nicolodi@science.unitn.it>
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54
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Daniele Nicolodi <nicolodi@science.unitn.it>
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55 tini = pl.find('t0');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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56 if isempty(tini)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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57 tini = pl.find('tini'); % check for the old name
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Daniele Nicolodi <nicolodi@science.unitn.it>
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58 if isempty(tini)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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59 tini = time;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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60 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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61 warning('The use of the parameter ''tini'' is deprecated and will be removed in future releases. Use ''t0'' instead');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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62 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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63 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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64 if isa(tini,'double')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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65 tini = time(tini);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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66 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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67
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Daniele Nicolodi <nicolodi@science.unitn.it>
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68
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Daniele Nicolodi <nicolodi@science.unitn.it>
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69 %% retrieve system infos
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Daniele Nicolodi <nicolodi@science.unitn.it>
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70 if numel(sys)~=1
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Daniele Nicolodi <nicolodi@science.unitn.it>
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71 error('simulate needs exactly one ssm as an input')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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72 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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73 if ~sys.isnumerical
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Daniele Nicolodi <nicolodi@science.unitn.it>
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74 error(['error because system ',sys.name,' is not numerical']);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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75 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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76 timestep = sys.timestep;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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77 if timestep==0
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Daniele Nicolodi <nicolodi@science.unitn.it>
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78 error('timestep should not be 0 in simulate!!')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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79 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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80
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Daniele Nicolodi <nicolodi@science.unitn.it>
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81 if callerIsMethod
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Daniele Nicolodi <nicolodi@science.unitn.it>
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82 % we don't need the history of the input
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Daniele Nicolodi <nicolodi@science.unitn.it>
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83 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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84 inhist = sys.hist;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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85 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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86
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Daniele Nicolodi <nicolodi@science.unitn.it>
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87 if pl.isparam('noise variable names')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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88 error('The noise option used must be split between "covariance" and "cpsd". "noise variable names" does not exist anymore!')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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89 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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90
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Daniele Nicolodi <nicolodi@science.unitn.it>
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91 %% display time ?
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Daniele Nicolodi <nicolodi@science.unitn.it>
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92 displayTime = find(pl, 'displayTime');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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93
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Daniele Nicolodi <nicolodi@science.unitn.it>
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94 %% initial state
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Daniele Nicolodi <nicolodi@science.unitn.it>
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95 ssini = find(pl,'ssini');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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96 if isempty(ssini)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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97 initialize = find(pl, 'initialize');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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98 if initialize
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Daniele Nicolodi <nicolodi@science.unitn.it>
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99 ssini = sys.steadyState(pl);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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100 ssini = find(ssini, 'state');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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101 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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102 ssini = cell(sys.Nss,1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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103 for i=1:sys.Nss
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Daniele Nicolodi <nicolodi@science.unitn.it>
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104 ssini{i} = zeros(sys.sssizes(i),1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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105 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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106 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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107 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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108 ssSizesIni = sys.statesizes;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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109 SSini = double(ssm.blockMatFusion(ssini,ssSizesIni,1));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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110
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Daniele Nicolodi <nicolodi@science.unitn.it>
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111 %% collecting simulation i/o data
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Daniele Nicolodi <nicolodi@science.unitn.it>
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112
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Daniele Nicolodi <nicolodi@science.unitn.it>
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113 % values
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Daniele Nicolodi <nicolodi@science.unitn.it>
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114 aos_in = find(pl, 'aos');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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115 constants_in = find(pl, 'constants');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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116 cov_in = find(pl, 'covariance');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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117 cpsd_in = find(pl, 'CPSD');
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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118 noise_in = blkdiag(cov_in, cpsd_in/(timestep*2));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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119 [U1,S1,V1] = svd(noise_in.'); %#ok<NASGU>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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120 if (sum(S1<0)>0)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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121 error('Covariance matrix is not positive definite')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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122 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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123 noise_mat = U1*sqrt(S1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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124
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Daniele Nicolodi <nicolodi@science.unitn.it>
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125 %% modifying system's ordering
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Daniele Nicolodi <nicolodi@science.unitn.it>
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126 if find(pl, 'reorganize')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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127 sys = reorganize(sys, pl, 'set', 'for simulate', 'internal', 'internal');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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128 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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129
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Daniele Nicolodi <nicolodi@science.unitn.it>
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130 %% getting system's i/o sizes
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Daniele Nicolodi <nicolodi@science.unitn.it>
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131 inputSizes = sys.inputsizes;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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132 outputSizes = sys.outputsizes;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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133
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Daniele Nicolodi <nicolodi@science.unitn.it>
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134 Naos_in = inputSizes(1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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135 Nnoise = inputSizes(2);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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136 Nconstants = inputSizes(3);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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137 NstatesOut = outputSizes(1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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138 NoutputsOut = outputSizes(2);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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139
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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140 if numel(aos_in)~=Naos_in
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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141 error(['There are ' num2str(numel(aos_in)) ' input aos and ' num2str(Naos_in) ' corresponding inputs indexed.' ])
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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142 elseif numel(diag(noise_in))~=Nnoise
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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143 error(['There are ' num2str(numel(diag(noise_in))) ' input noise variances and ' num2str(Nnoise) ' corresponding inputs indexed.' ])
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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144 elseif numel(constants_in)~=Nconstants
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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145 error(['There are ' num2str(numel(constants_in)) ' input constants and ' num2str(Nconstants) ' corresponding inputs indexed.' ])
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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146 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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147
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Daniele Nicolodi <nicolodi@science.unitn.it>
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148 A = sys.amats{1,1};
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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149 Coutputs = sys.cmats{2,1};
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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150 Cstates = sys.cmats{1,1};
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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151 Baos = sys.bmats{1,1};
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Daniele Nicolodi <nicolodi@science.unitn.it>
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152 Daos = sys.dmats{2,1};
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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153 Bnoise = sys.bmats{1,2} * noise_mat;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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154 Dnoise = sys.dmats{2,2} * noise_mat;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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155 Bcst = sys.bmats{1,3} * reshape(constants_in, Nconstants, 1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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156 Dcst = sys.dmats{2,3} * reshape(constants_in, Nconstants, 1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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157
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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158 %% getting correct number of samples
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Daniele Nicolodi <nicolodi@science.unitn.it>
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159 Nsamples = find(pl, 'Nsamples');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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160 f0 = 1/timestep;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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161 for i=1:Naos_in
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Daniele Nicolodi <nicolodi@science.unitn.it>
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diff changeset
162 Nsamples = min(Nsamples,length(aos_in(i).y));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
163 try
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
164 if ~(f0==aos_in(i).fs)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
165 str = ['WARNING : ssm frequency is ',num2str(f0),...
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
166 ' but sampling frequency of ao named ',...
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
167 aos_in(i).name, ' is ', num2str(aos_in(i).fs) ];
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
168 utils.helper.msg(utils.const.msg.MNAME, str);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
169 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
170 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
171 % maybe tdata should be retrieved and verified to be equal, rather than this.
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
172 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
173 if Nsamples == inf % case there is no input!
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
174 error('warning : no input option ''Nsamples'' providing simulation duration is available!!')
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
175 Nsamples = 0;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
176 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
177
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
178 %% termination condition
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
179 if strcmp(find(pl, 'termincond'),'');
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
180 doTerminate = false;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
181 terminationCond = '';
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
182 else
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
183 doTerminate = true;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
184 terminationCond = find(pl, 'termincond');
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
185 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
186
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
187 %% ao vector
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
188 aos_vect = zeros(Naos_in, Nsamples);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
189 for j = 1:Naos_in
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
190 aos_vect(j,:) = aos_in(j).y(1:Nsamples).';
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
191 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
192
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
193 %% simulation loop
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
194 [x, y, lastX] = ssm.doSimulate(...
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
195 SSini, Nsamples, ...
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
196 A, Baos, Coutputs, Cstates, Daos, Bnoise, Dnoise, Bcst, Dcst,...
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
197 aos_vect, doTerminate, terminationCond, displayTime, timestep, pl.find('force complete'));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
198
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
199 %% saving in aos
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
200 fs = 1/timestep;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
201 isysStr = sys.name;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
202
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
203 ao_out = ao.initObjectWithSize(1,NstatesOut+NoutputsOut);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
204 for i=1:NstatesOut
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
205 ao_out(i).setData(tsdata( x(i,:), fs ));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
206 ao_out(i).setName(sys.outputs(1).ports(i).name);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
207 ao_out(i).setXunits('s');
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
208 ao_out(i).setYunits(sys.outputs(1).ports(i).units);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
209 ao_out(i).setDescription(...
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
210 ['simulation for ' isysStr, ' : ', sys.outputs(1).ports(i).name,...
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
211 ' ' sys.outputs(1).ports(i).description]);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
212 ao_out(i).setT0(tini);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
213 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
214 for i=1:NoutputsOut
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
215 ao_out(NstatesOut+i).setData(tsdata( y(i,:), fs ));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
216 ao_out(NstatesOut+i).setName(sys.outputs(2).ports(i).name);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
217 ao_out(NstatesOut+i).setXunits('s');
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
218 ao_out(NstatesOut+i).setYunits(sys.outputs(2).ports(i).units);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
219 ao_out(NstatesOut+i).setDescription(...
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
220 ['simulation for, ' isysStr, ' : ', sys.outputs(2).ports(i).name, ...
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
221 ' ', sys.outputs(2).ports(i).description]);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
222 ao_out(NstatesOut+i).setT0(tini);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
223 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
224
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
225 %% construct output plist
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
226 plist_out = plist('lastX', ssm.blockMatRecut(lastX,ssSizesIni,1) );
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
227
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
228 %% construct output matrix object
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
229 out = matrix(ao_out);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
230 if callerIsMethod
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
231 % do nothing
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
232 else
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
233 myinfo = getInfo('None');
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
234 out.addHistory(myinfo, pl , ssm_invars(1), inhist );
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
235 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
236
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
237 %% Set output depending on nargout
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
238 if nargout == 1;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
239 varargout = {out};
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
240 elseif nargout == 2;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
241 varargout = {out plist_out};
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
242 elseif nargout == 0;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
243 iplot(ao_out);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
244 else
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
245 error('Wrong number of outputs')
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
246 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
247 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
248
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
249 %--------------------------------------------------------------------------
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
250 % Get Info Object
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
251 %--------------------------------------------------------------------------
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
252 function ii = getInfo(varargin)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
253
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
254 if nargin == 1 && strcmpi(varargin{1}, 'None')
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
255 sets = {};
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
256 pl = [];
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
257 else
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
258 sets = {'Default'};
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
259 pl = getDefaultPlist;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
260 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
261 % Build info object
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
262 ii = minfo(mfilename, 'ssm', 'ltpda', utils.const.categories.op, '$Id: simulate.m,v 1.104 2011/07/11 10:44:38 adrien Exp $', sets, pl);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
263 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
264
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
265 %--------------------------------------------------------------------------
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
266 % Get Default Plist
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
267 %--------------------------------------------------------------------------
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
268 function pl = getDefaultPlist()
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
269 pl = ssm.getInfo('reorganize', 'for simulate').plists;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
270 pl.remove('set');
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
271
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
272 p = param({'covariance', 'The covariance of this noise between input ports for the <i>time-discrete</i> noise model.'}, []);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
273 pl.append(p);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
274
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
275 p = param({'CPSD', 'The one sided cross-psd of the white noise between input ports.'}, []);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
276 pl.append(p);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
277
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
278 p = param({'aos', 'An array of input AOs.'}, ao.initObjectWithSize(1,0));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
279 pl.append(p);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
280
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
281 p = param({'constants', 'Array of DC values for the different corresponding inputs.'}, paramValue.DOUBLE_VALUE(zeros(0,1)));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
282 pl.append(p);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
283
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
284 p = param({'Nsamples', 'The maximum number of samples to simulate (AO length(s) overide this).'}, paramValue.DOUBLE_VALUE(inf));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
285 pl.append(p);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
286
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
287 p = param({'ssini', 'A cell-array of vectors that give the initial position for simulation.'}, {});
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
288 pl.append(p);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
289
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
290 p = param({'initialize', 'When set to 1, a random state value is computed for the initial point.'}, paramValue.FALSE_TRUE);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
291 pl.append(p);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
292
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
293 p = param({'tini', 'Same as t0; kept for backwards compatibility.'}, paramValue.EMPTY_DOUBLE );
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
294 pl.append(p);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
295
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
296 p = param({'t0', 'The initial simulation time (seconds).'}, paramValue.EMPTY_DOUBLE );
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
297 pl.append(p);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
298
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
299 p = param({'displayTime', 'Switch off/on the display'}, paramValue.TRUE_FALSE);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
300 pl.append(p);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
301
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
302 p = param({'termincond', 'A string to evaluate a termination condition on the states in x (''lastX'') or outputs in y (''lastY'')'}, paramValue.EMPTY_STRING);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
303 pl.append(p);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
304
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
305 p = param({'reorganize', 'When set to 0, this means the ssm does not need be modified to match the requested i/o. Faster but dangerous!'}, paramValue.TRUE_FALSE);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
306 pl.append(p);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
307
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
308 p = param({'force complete', 'Force the use of the complete simulation code.'}, paramValue.FALSE_TRUE);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
309 pl.append(p);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
310
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
311 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
312