annotate m-toolbox/classes/@ssm/double.m @ 12:86aabb42dd84 database-connection-manager

Use utils.repository utilities
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Mon, 05 Dec 2011 16:20:06 +0100
parents f0afece42f48
children
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Daniele Nicolodi <nicolodi@science.unitn.it>
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1 % Convert a statespace model object to double arrays for given i/o
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2 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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3 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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4 % DESCRIPTION: double converts a statespace model object to double arrays.
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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: [A B C D Ts ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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7 % inputvarnames ssvarnames outputvarnames ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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8 % inputvarunits ssvarunits outputvarunits ] = double(ssm, pl);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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9 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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10 % INPUTS :
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Daniele Nicolodi <nicolodi@science.unitn.it>
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11 % ssm - a ssm object
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Daniele Nicolodi <nicolodi@science.unitn.it>
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12 % pl - an options plist
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Daniele Nicolodi <nicolodi@science.unitn.it>
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13 %
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14 % OPTIONS :
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Daniele Nicolodi <nicolodi@science.unitn.it>
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15 % plist with parameters 'inputs', 'states' and 'outputs' to indicate which
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Daniele Nicolodi <nicolodi@science.unitn.it>
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16 % inputs, states and outputs variables are taken in account. This requires
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Daniele Nicolodi <nicolodi@science.unitn.it>
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17 % proper variable naming. If a variable called appears more that once it
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Daniele Nicolodi <nicolodi@science.unitn.it>
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18 % will be used once only.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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19 % The field may be :
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Daniele Nicolodi <nicolodi@science.unitn.it>
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20 % - a cellstr containing the resp. input/state/output *variable* names
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Daniele Nicolodi <nicolodi@science.unitn.it>
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21 % - a logical indexing the resp. input/state/output *variables*
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Daniele Nicolodi <nicolodi@science.unitn.it>
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22 % names. Index is stored in a cell array, each cell
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Daniele Nicolodi <nicolodi@science.unitn.it>
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23 % correponding to one input/state/output block.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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24 % - a double indexing the resp. input/state/output *variables*
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Daniele Nicolodi <nicolodi@science.unitn.it>
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25 % names. Index is stored in a cell array, each cell
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Daniele Nicolodi <nicolodi@science.unitn.it>
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26 % correponding to one input/state/output block.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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27 % - 'ALL', this string indicates all i/o variables will be
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Daniele Nicolodi <nicolodi@science.unitn.it>
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28 % given
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Daniele Nicolodi <nicolodi@science.unitn.it>
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29 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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30 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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31 % OUTPUTS : A - the As matrices in one double array
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Daniele Nicolodi <nicolodi@science.unitn.it>
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32 % B - the Bs matrices in one double array
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Daniele Nicolodi <nicolodi@science.unitn.it>
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33 % C - the Cs matrices in one double array
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Daniele Nicolodi <nicolodi@science.unitn.it>
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34 % D - the Ds matrices in one double array
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Daniele Nicolodi <nicolodi@science.unitn.it>
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35 % Ts - the sampling time of the system. 0 is
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Daniele Nicolodi <nicolodi@science.unitn.it>
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36 % continuous
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Daniele Nicolodi <nicolodi@science.unitn.it>
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37 % inputvarnames - the variable names corresponding to the
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Daniele Nicolodi <nicolodi@science.unitn.it>
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38 % columns of B and D
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Daniele Nicolodi <nicolodi@science.unitn.it>
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39 % ssvarnames - the variable names corresponding to the
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Daniele Nicolodi <nicolodi@science.unitn.it>
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40 % rows of A and B, cols. of A and C
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Daniele Nicolodi <nicolodi@science.unitn.it>
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41 % outputvarnames - the variable names corresponding to the
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Daniele Nicolodi <nicolodi@science.unitn.it>
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42 % rows of C and D
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Daniele Nicolodi <nicolodi@science.unitn.it>
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43 % inputvarunits - the variable names corresponding to the
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Daniele Nicolodi <nicolodi@science.unitn.it>
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44 % columns of B and D
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Daniele Nicolodi <nicolodi@science.unitn.it>
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45 % ssvarunits - the variable names corresponding to the
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46 % rows of A and B, cols. of A and C
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Daniele Nicolodi <nicolodi@science.unitn.it>
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47 % outputunits - the variable names corresponding to the
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Daniele Nicolodi <nicolodi@science.unitn.it>
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48 % rows of C and D
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49 %
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50 %
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51 % <a href="matlab:utils.helper.displayMethodInfo('ssm', 'double')">Parameters Description</a>
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52 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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53 % VERSION: $Id: double.m,v 1.44 2011/04/08 08:56:22 hewitson Exp $
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54 %
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55 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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56
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Daniele Nicolodi <nicolodi@science.unitn.it>
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57 function varargout = double(varargin)
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58
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Daniele Nicolodi <nicolodi@science.unitn.it>
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59 %% starting initial checks
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Daniele Nicolodi <nicolodi@science.unitn.it>
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60 % Check if this is a call for parameters
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Daniele Nicolodi <nicolodi@science.unitn.it>
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61 if utils.helper.isinfocall(varargin{:})
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Daniele Nicolodi <nicolodi@science.unitn.it>
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62 varargout{1} = getInfo(varargin{3});
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Daniele Nicolodi <nicolodi@science.unitn.it>
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63 return
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64 end
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65
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66 utils.helper.msg(utils.const.msg.OMNAME, ['running ', mfilename]);
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67
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68 in_names = cell(size(varargin));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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69 [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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70 [pl, invars2, rest] = utils.helper.collect_objects(rest(:), 'plist');
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71 if ~isempty(rest)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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72 pl = combine(pl, plist(rest{:}));
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73 end
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74 pl = combine(pl, getDefaultPlist());
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75
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76 if numel(sys)~=1
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77 error('double takes exactly one ssm as input')
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78 elseif ~sys.isnumerical % checking system is numeric
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79 error(['error in double : system named ' sys.name ' is not numeric'])
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80 end
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81
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82 %% begin function body
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83
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84 %making model simplifications, and deepcopy
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Daniele Nicolodi <nicolodi@science.unitn.it>
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85 indexInputs = makePortLogicalIndex( sys.inputs, find(pl,'inputs') );
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Daniele Nicolodi <nicolodi@science.unitn.it>
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86 indexStates = makePortLogicalIndex( sys.states, find(pl,'states') );
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Daniele Nicolodi <nicolodi@science.unitn.it>
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87 indexOutputs = makePortLogicalIndex( sys.outputs, find(pl,'outputs') );
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88
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89 %% pruning the object fields and assigning fields
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Daniele Nicolodi <nicolodi@science.unitn.it>
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90 % cell_mat lines wanted cols wanted
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Daniele Nicolodi <nicolodi@science.unitn.it>
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91 sys.amats = ssm.blockMatPrune(sys.amats, indexStates, indexStates);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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92 sys.bmats = ssm.blockMatPrune(sys.bmats, indexStates, indexInputs);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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93 sys.cmats = ssm.blockMatPrune(sys.cmats, indexOutputs, indexStates);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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94 sys.dmats = ssm.blockMatPrune(sys.dmats, indexOutputs, indexInputs);
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95
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Daniele Nicolodi <nicolodi@science.unitn.it>
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96 sys.inputs = applyPortLogicalIndex(sys.inputs, indexInputs );
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Daniele Nicolodi <nicolodi@science.unitn.it>
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97 sys.states = applyPortLogicalIndex(sys.states, indexStates );
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Daniele Nicolodi <nicolodi@science.unitn.it>
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98 sys.outputs = applyPortLogicalIndex(sys.outputs, indexOutputs );
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Daniele Nicolodi <nicolodi@science.unitn.it>
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99
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Daniele Nicolodi <nicolodi@science.unitn.it>
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100 % sys = doSimplify(sys0, pl);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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101
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Daniele Nicolodi <nicolodi@science.unitn.it>
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102 % Convert to double arrays
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Daniele Nicolodi <nicolodi@science.unitn.it>
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103 A = ssm.blockMatFusion(sys.amats, sys.sssizes, sys.sssizes);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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104 B = ssm.blockMatFusion(sys.bmats, sys.sssizes, sys.inputsizes);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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105 C = ssm.blockMatFusion(sys.cmats, sys.outputsizes, sys.sssizes);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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106 D = ssm.blockMatFusion(sys.dmats, sys.outputsizes, sys.inputsizes);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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107 Ts = sys.timestep;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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108
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Daniele Nicolodi <nicolodi@science.unitn.it>
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109 inputvarnames = cell(1,sum(sys.inputsizes));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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110 inputunit = unit.initObjectWithSize(1,sum(sys.inputsizes));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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111 k=1;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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112 for i=1:sys.Ninputs
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Daniele Nicolodi <nicolodi@science.unitn.it>
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113 for j=1:sys.inputsizes(i)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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114 inputvarnames{k} = sys.inputs(i).ports(j).name;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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115 inputunit(k) = sys.inputs(i).ports(j).units;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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116 k = k+1;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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117 end
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118 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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119 ssvarnames = cell(1,sum(sys.sssizes));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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120 ssunit = unit.initObjectWithSize(1,sum(sys.inputsizes));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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121 k=1;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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122 for i=1:sys.Nss
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Daniele Nicolodi <nicolodi@science.unitn.it>
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123 for j=1:sys.sssizes(i)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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124 ssvarnames{k} = sys.states(i).ports(j).name;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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125 ssunit(k) = sys.states(i).ports(j).units;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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126 k = k+1;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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127 end
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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 outputvarnames = cell(1,sum(sys.outputsizes));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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130 outputunit = unit.initObjectWithSize(1,sum(sys.inputsizes));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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131 k=1;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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132 for i=1:sys.Noutputs
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Daniele Nicolodi <nicolodi@science.unitn.it>
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133 for j=1:sys.outputsizes(i)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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134 outputvarnames{k} = sys.outputs(i).ports(j).name;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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135 outputunit(k) = sys.outputs(i).ports(j).units;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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136 k = k+1;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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137 end
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138 end
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139
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140
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Daniele Nicolodi <nicolodi@science.unitn.it>
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141 %% parsing output
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Daniele Nicolodi <nicolodi@science.unitn.it>
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142 varargout = {...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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143 A B C D Ts ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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144 inputvarnames ssvarnames outputvarnames ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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145 inputunit ssunit outputunit ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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146 };
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147
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148 end
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149
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150 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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151 % Get Info Object
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Daniele Nicolodi <nicolodi@science.unitn.it>
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152 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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153 function ii = getInfo(varargin)
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154
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Daniele Nicolodi <nicolodi@science.unitn.it>
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155 if nargin == 1 && strcmpi(varargin{1}, 'None')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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156 sets = {};
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Daniele Nicolodi <nicolodi@science.unitn.it>
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157 pl = [];
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Daniele Nicolodi <nicolodi@science.unitn.it>
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158 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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159 sets = {'Default'};
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160 pl = getDefaultPlist;
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161 end
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162 % Build info object
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163 ii = minfo(mfilename, 'ssm', 'ltpda', utils.const.categories.output, '$Id: double.m,v 1.44 2011/04/08 08:56:22 hewitson Exp $', sets, pl);
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164 end
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165
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166
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167 %--------------------------------------------------------------------------
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168 % Get Default Plist
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169 %--------------------------------------------------------------------------
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170 function pl = getDefaultPlist()
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171
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172 pl = plist();
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173
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174 p = param({'inputs', 'A cell-array of input ports.'}, 'ALL');
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175 pl.append(p);
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176
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177 p = param({'states', 'A cell-array of state ports.'}, 'ALL');
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178 pl.append(p);
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179
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180 p = param({'outputs', 'A cell-array of output ports.'}, 'ALL');
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181 pl.append(p);
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182
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183
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184 end