0
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 1 % STEADYSTATE returns a possible value for the steady state of an ssm.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 2 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 3 %
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 4 % DESCRIPTION: STEADYSTATE returns a possible value for the steady state
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 5 % of the state space of an ssm with given inputs.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 6 %
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 7 % CALL: [pl_out] = steadyState(sys, pl)
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 8 %
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 9 % INPUTS:
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 10 % - sys, an ssm object
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 11 %
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 12 % OUTPUTS:
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 13 % _ pl_out contains 'state', the random state position
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 14 %
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 15 % <a href="matlab:utils.helper.displayMethodInfo('ssm', 'steadyState')">Parameters Description</a>
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 16 %
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 17 % VERSION: $Id: steadyState.m,v 1.11 2011/04/08 08:56:23 hewitson Exp $
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 18 %
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 19 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 20
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 21 % TO DO: Check input aos for the timestep, tsdata, and ssm.timestep
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 22 % options to be defined (NL case)
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 23 % add check if one input mach no ssm input variable
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 24 % allow use of other LTPDA functions to generate white noise
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 25
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 26
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 27 function varargout = steadyState(varargin)
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 28
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 29 %% starting initial checks
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 30
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 31 % Check if this is a call for parameters
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 32 if utils.helper.isinfocall(varargin{:})
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 33 varargout{1} = getInfo(varargin{3});
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 34 return
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 35 end
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 36
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 37 utils.helper.msg(utils.const.msg.MNAME, ['running ', mfilename]);
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 38
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 39 % Collect input variable names
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 40 in_names = cell(size(varargin));
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 41 for ii = 1:nargin,in_names{ii} = inputname(ii);end
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 42
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 43 % Collect all SSMs and plists
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 44 [sys, ssm_invars, rest] = utils.helper.collect_objects(varargin(:), 'ssm', in_names);
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 45 [pl, invars2, rest] = utils.helper.collect_objects(rest(:), 'plist');
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 46 if ~isempty(rest)
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 47 pl = combine(pl, plist(rest{:}));
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 48 end
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 49 pl = combine(pl, getDefaultPlist());
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 50
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 51 %% begin function body
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 52
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 53 if numel(sys)~=1
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 54 error('simulate needs exactly one ssm as an input')
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 55 end
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 56 if ~sys.isnumerical
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 57 error(['error because system ',sys.name,' is not numerical']);
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 58 end
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 59 timestep = sys.timestep;
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 60 if timestep==0
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 61 error('timestep should not be 0 in steadyState!!')
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 62 end
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 63 if pl.isparam('noise variable names')
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 64 error('The noise option used must be split between "covariance" and "cpsd". "noise variable names" does not exist anymore!')
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 65 end
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 66 sssizes = sys.sssizes;
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 67 %% collecting simulation i/o data
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 68
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 69 constants_in = find(pl, 'constants');
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 70 cov_in = find(pl, 'covariance');
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 71 cpsd_in = find(pl, 'CPSD');
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 72 noise_in = blkdiag(cov_in, cpsd_in/(timestep*2));
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 73 [U1,S1,V1] = svd(noise_in.');
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 74 if (sum(S1<0)>0)
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 75 error('Covariance matrix is not positive definite')
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 76 end
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 77 noise_mat = U1*sqrt(S1);
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 78
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 79 %% modifying system's ordering
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 80 if find(pl, 'reorganize')
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 81 sys = reorganize(sys, pl, 'set', 'for simulate', 'internal', 'internal');
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 82 end
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 83
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 84 %% getting system's i/o sizes
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 85 inputSizes = sys.inputsizes;
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 86
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 87 Nnoise = inputSizes(2);
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 88 Nconstants = inputSizes(3);
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 89
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 90 if numel(diag(noise_in))~=Nnoise
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 91 error(['There are ' num2str(numel(diag(noise_in))) ' input noise variances and ' num2str(Nnoise) ' corresponding inputs indexed.' ])
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 92 elseif numel(constants_in)~=Nconstants
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 93 error(['There are ' num2str(numel(constants_in)) ' input constants and ' num2str(Nconstants) ' corresponding inputs indexed.' ])
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 94 end
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 95
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 96 A = sys.amats{1,1};
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 97 Bnoise = sys.bmats{1,2} * noise_mat;
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 98 Bcst = sys.bmats{1,3} * reshape(constants_in, Nconstants, 1);
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 99
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 100 %% counting powers of 2 to use for initilization
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 101 nSteps = 500;
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 102 tSteady = find(pl, 'tSteady');
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 103 nPow2 = nextpow2(tSteady/(nSteps*timestep));
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 104
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 105 %% simulation loop
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 106 A_pow2=cell(1,nPow2);
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 107 G_pow2=cell(1,nPow2);
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 108
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 109 A_pow2{1} = A;
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 110 G_pow2{1} = Bcst;
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 111
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 112 %% method 1 : iterate equations with growing time-step for a very long time
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 113 E_pow2=cell(1,nPow2);
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 114 E_pow2{1} = Bnoise;
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 115 for i_pow2 = 2:nPow2
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 116 G_pow2{i_pow2} = G_pow2{i_pow2-1} + A_pow2{i_pow2-1}*G_pow2{i_pow2-1};
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 117 E_pow2{i_pow2} = E_pow2{i_pow2-1} + A_pow2{i_pow2-1}*E_pow2{i_pow2-1};
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 118 A_pow2{i_pow2} = A_pow2{i_pow2-1}^2;
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 119 end
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 120 lastX = zeros(size(A,1),1);
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 121 for i_pow2 = fliplr(1:nPow2)
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 122 A = A_pow2{i_pow2};
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 123 G = G_pow2{i_pow2};
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 124 E = E_pow2{i_pow2};
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 125 noise_array = randn(size(E,2), nSteps);
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 126 for i_steps = 1:nSteps
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 127 lastX = A*lastX + G + E*noise_array(:,i_steps) ;
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 128 end
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 129 end
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 130
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 131 %% method 2 : compute the limit state-mean and covariance as i_pow2 tends to infinity
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 132 % P_pow2=cell(1,nPow2);
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 133 % P_pow2{1} = Bnoise*Bnoise.';
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 134 % for i_pow2 = 2:nPow2
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 135 % G_pow2{i_pow2} = G_pow2{i_pow2-1} + A_pow2{i_pow2-1}*G_pow2{i_pow2-1}; % taking step response to 2 longer time;
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 136 % P_pow2{i_pow2} = P_pow2{i_pow2-1} + A_pow2{i_pow2-1}*P_pow2{i_pow2-1}*(A_pow2{i_pow2-1}.');% taking state covariance to 2 longer time;
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 137 % A_pow2{i_pow2} = A_pow2{i_pow2-1}^2;
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 138 % end
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 139 % [U1,S1,V1] = svd(P_pow2{nPow2});
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 140 % lastX = U1*sqrt(S1)*randn(size(A,1),1) + G_pow2{nPow2};
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 141
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 142 %% construct output analysis object
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 143 plist_out = plist('state', ssm.blockMatRecut(lastX,sssizes,1) );
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 144 varargout = {plist_out};
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 145 end
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 146
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 147
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 148 %--------------------------------------------------------------------------
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 149 % Get Info Object
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 150 %--------------------------------------------------------------------------
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 151 function ii = getInfo(varargin)
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 152
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 153 if nargin == 1 && strcmpi(varargin{1}, 'None')
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 154 sets = {};
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 155 pl = [];
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 156 else
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 157 sets = {'Default'};
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 158 pl = getDefaultPlist;
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 159 end
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 160 % Build info object
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 161 ii = minfo(mfilename, 'ssm', 'ltpda', utils.const.categories.op, '$Id: steadyState.m,v 1.11 2011/04/08 08:56:23 hewitson Exp $', sets, pl);
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 162 end
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 163
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 164 %--------------------------------------------------------------------------
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 165 % Get Default Plist
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 166 %--------------------------------------------------------------------------
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 167 function pl = getDefaultPlist()
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 168 pl = plist();
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 169
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 170 p = param({'cpsd variable names', 'A cell-array of strings specifying the desired input variable names.'}, {} );
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 171 pl.append(p);
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 172
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 173 p = param({'cpsd', 'The covariance of this noise between input ports for the <i>time-continuous</i> noise model.'}, []);
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 174 pl.append(p);
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 175
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 176 p = param({'covariance variable names', 'A cell-array of strings specifying the desired input variable names.'}, {} );
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 177 pl.append(p);
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 178
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 179 p = param({'covariance', 'The covariance of this noise between input ports for the <i>time-continuous</i> noise model.'}, []);
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 180 pl.append(p);
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 181
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 182 p = param({'constant variable names', 'A cell-array of strings of the desired input variable names.'}, {});
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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+ − 183 pl.append(p);
Daniele Nicolodi <nicolodi@science.unitn.it>
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+ − 184
Daniele Nicolodi <nicolodi@science.unitn.it>
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+ − 185 p = param({'constants', 'Array of DC values for the different corresponding inputs.'}, paramValue.DOUBLE_VALUE(zeros(0,1)));
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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+ − 186 pl.append(p);
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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+ − 187
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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+ − 188 p = param({'tSteady', 'The settling time used in the calculation, in the same unit as the ssm''s timestep'}, paramValue.DOUBLE_VALUE(10^6) );
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
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+ − 189 pl.append(p);
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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+ − 190
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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+ − 191 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);
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 192 pl.append(p);
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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+ − 193
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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+ − 194 end
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff
changeset
+ − 195