line source
+ − % SIMULATE simulates a discrete ssm with given inputs
+ − %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+ − %
+ − % DESCRIPTION: SIMULATE simulates a discrete ssm with given inputs.
+ − %
+ − % CALL: [mat_out pl_out] = simulate(sys, pl)
+ − %
+ − % INPUTS:
+ − % - sys, (array of) ssm object
+ − %
+ − % OUTPUTS:
+ − % _ mat_out contains specified returned aos
+ − % _ pl_out contains 'lastX', the last state position
+ − %
+ − % <a href="matlab:utils.helper.displayMethodInfo('ssm', 'simulate')">Parameters Description</a>
+ − %
+ − % VERSION: $Id: simulate.m,v 1.104 2011/07/11 10:44:38 adrien Exp $
+ − %
+ − %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+ −
+ − % TO DO: options to be defined (NL case)
+ − % allow use of other LTPDA functions to generate white noise
+ −
+ −
+ − function varargout = simulate(varargin)
+ −
+ − %% starting initial checks
+ −
+ − % use the caller is method flag
+ − callerIsMethod = utils.helper.callerIsMethod;
+ −
+ − % Check if this is a call for parameters
+ − if utils.helper.isinfocall(varargin{:})
+ − varargout{1} = getInfo(varargin{3});
+ − return
+ − end
+ −
+ − utils.helper.msg(utils.const.msg.PROC3, ['running ', mfilename]);
+ −
+ − % Collect input variable names
+ − in_names = cell(size(varargin));
+ − for ii = 1:nargin,in_names{ii} = inputname(ii);end
+ −
+ − % Collect all SSMs and plists
+ − [sys, ssm_invars, rest] = utils.helper.collect_objects(varargin(:), 'ssm', in_names);
+ − [pl, invars2, rest] = utils.helper.collect_objects(rest(:), 'plist');
+ − if ~isempty(rest)
+ − pl = combine(pl, plist(rest{:}));
+ − end
+ − pl = combine(pl, getDefaultPlist());
+ −
+ −
+ − %% begin function body
+ −
+ − tini = pl.find('t0');
+ − if isempty(tini)
+ − tini = pl.find('tini'); % check for the old name
+ − if isempty(tini)
+ − tini = time;
+ − else
+ − warning('The use of the parameter ''tini'' is deprecated and will be removed in future releases. Use ''t0'' instead');
+ − end
+ − end
+ − if isa(tini,'double')
+ − tini = time(tini);
+ − end
+ −
+ −
+ − %% retrieve system infos
+ − if numel(sys)~=1
+ − error('simulate needs exactly one ssm as an input')
+ − end
+ − if ~sys.isnumerical
+ − error(['error because system ',sys.name,' is not numerical']);
+ − end
+ − timestep = sys.timestep;
+ − if timestep==0
+ − error('timestep should not be 0 in simulate!!')
+ − end
+ −
+ − if callerIsMethod
+ − % we don't need the history of the input
+ − else
+ − inhist = sys.hist;
+ − end
+ −
+ − if pl.isparam('noise variable names')
+ − error('The noise option used must be split between "covariance" and "cpsd". "noise variable names" does not exist anymore!')
+ − end
+ −
+ − %% display time ?
+ − displayTime = find(pl, 'displayTime');
+ −
+ − %% initial state
+ − ssini = find(pl,'ssini');
+ − if isempty(ssini)
+ − initialize = find(pl, 'initialize');
+ − if initialize
+ − ssini = sys.steadyState(pl);
+ − ssini = find(ssini, 'state');
+ − else
+ − ssini = cell(sys.Nss,1);
+ − for i=1:sys.Nss
+ − ssini{i} = zeros(sys.sssizes(i),1);
+ − end
+ − end
+ − end
+ − ssSizesIni = sys.statesizes;
+ − SSini = double(ssm.blockMatFusion(ssini,ssSizesIni,1));
+ −
+ − %% collecting simulation i/o data
+ −
+ − % values
+ − aos_in = find(pl, 'aos');
+ − constants_in = find(pl, 'constants');
+ − cov_in = find(pl, 'covariance');
+ − cpsd_in = find(pl, 'CPSD');
+ − noise_in = blkdiag(cov_in, cpsd_in/(timestep*2));
+ − [U1,S1,V1] = svd(noise_in.'); %#ok<NASGU>
+ − if (sum(S1<0)>0)
+ − error('Covariance matrix is not positive definite')
+ − end
+ − noise_mat = U1*sqrt(S1);
+ −
+ − %% modifying system's ordering
+ − if find(pl, 'reorganize')
+ − sys = reorganize(sys, pl, 'set', 'for simulate', 'internal', 'internal');
+ − end
+ −
+ − %% getting system's i/o sizes
+ − inputSizes = sys.inputsizes;
+ − outputSizes = sys.outputsizes;
+ −
+ − Naos_in = inputSizes(1);
+ − Nnoise = inputSizes(2);
+ − Nconstants = inputSizes(3);
+ − NstatesOut = outputSizes(1);
+ − NoutputsOut = outputSizes(2);
+ −
+ − if numel(aos_in)~=Naos_in
+ − error(['There are ' num2str(numel(aos_in)) ' input aos and ' num2str(Naos_in) ' corresponding inputs indexed.' ])
+ − elseif numel(diag(noise_in))~=Nnoise
+ − error(['There are ' num2str(numel(diag(noise_in))) ' input noise variances and ' num2str(Nnoise) ' corresponding inputs indexed.' ])
+ − elseif numel(constants_in)~=Nconstants
+ − error(['There are ' num2str(numel(constants_in)) ' input constants and ' num2str(Nconstants) ' corresponding inputs indexed.' ])
+ − end
+ −
+ − A = sys.amats{1,1};
+ − Coutputs = sys.cmats{2,1};
+ − Cstates = sys.cmats{1,1};
+ − Baos = sys.bmats{1,1};
+ − Daos = sys.dmats{2,1};
+ − Bnoise = sys.bmats{1,2} * noise_mat;
+ − Dnoise = sys.dmats{2,2} * noise_mat;
+ − Bcst = sys.bmats{1,3} * reshape(constants_in, Nconstants, 1);
+ − Dcst = sys.dmats{2,3} * reshape(constants_in, Nconstants, 1);
+ −
+ − %% getting correct number of samples
+ − Nsamples = find(pl, 'Nsamples');
+ − f0 = 1/timestep;
+ − for i=1:Naos_in
+ − Nsamples = min(Nsamples,length(aos_in(i).y));
+ − try
+ − if ~(f0==aos_in(i).fs)
+ − str = ['WARNING : ssm frequency is ',num2str(f0),...
+ − ' but sampling frequency of ao named ',...
+ − aos_in(i).name, ' is ', num2str(aos_in(i).fs) ];
+ − utils.helper.msg(utils.const.msg.MNAME, str);
+ − end
+ − end
+ − % maybe tdata should be retrieved and verified to be equal, rather than this.
+ − end
+ − if Nsamples == inf % case there is no input!
+ − error('warning : no input option ''Nsamples'' providing simulation duration is available!!')
+ − Nsamples = 0;
+ − end
+ −
+ − %% termination condition
+ − if strcmp(find(pl, 'termincond'),'');
+ − doTerminate = false;
+ − terminationCond = '';
+ − else
+ − doTerminate = true;
+ − terminationCond = find(pl, 'termincond');
+ − end
+ −
+ − %% ao vector
+ − aos_vect = zeros(Naos_in, Nsamples);
+ − for j = 1:Naos_in
+ − aos_vect(j,:) = aos_in(j).y(1:Nsamples).';
+ − end
+ −
+ − %% simulation loop
+ − [x, y, lastX] = ssm.doSimulate(...
+ − SSini, Nsamples, ...
+ − A, Baos, Coutputs, Cstates, Daos, Bnoise, Dnoise, Bcst, Dcst,...
+ − aos_vect, doTerminate, terminationCond, displayTime, timestep, pl.find('force complete'));
+ −
+ − %% saving in aos
+ − fs = 1/timestep;
+ − isysStr = sys.name;
+ −
+ − ao_out = ao.initObjectWithSize(1,NstatesOut+NoutputsOut);
+ − for i=1:NstatesOut
+ − ao_out(i).setData(tsdata( x(i,:), fs ));
+ − ao_out(i).setName(sys.outputs(1).ports(i).name);
+ − ao_out(i).setXunits('s');
+ − ao_out(i).setYunits(sys.outputs(1).ports(i).units);
+ − ao_out(i).setDescription(...
+ − ['simulation for ' isysStr, ' : ', sys.outputs(1).ports(i).name,...
+ − ' ' sys.outputs(1).ports(i).description]);
+ − ao_out(i).setT0(tini);
+ − end
+ − for i=1:NoutputsOut
+ − ao_out(NstatesOut+i).setData(tsdata( y(i,:), fs ));
+ − ao_out(NstatesOut+i).setName(sys.outputs(2).ports(i).name);
+ − ao_out(NstatesOut+i).setXunits('s');
+ − ao_out(NstatesOut+i).setYunits(sys.outputs(2).ports(i).units);
+ − ao_out(NstatesOut+i).setDescription(...
+ − ['simulation for, ' isysStr, ' : ', sys.outputs(2).ports(i).name, ...
+ − ' ', sys.outputs(2).ports(i).description]);
+ − ao_out(NstatesOut+i).setT0(tini);
+ − end
+ −
+ − %% construct output plist
+ − plist_out = plist('lastX', ssm.blockMatRecut(lastX,ssSizesIni,1) );
+ −
+ − %% construct output matrix object
+ − out = matrix(ao_out);
+ − if callerIsMethod
+ − % do nothing
+ − else
+ − myinfo = getInfo('None');
+ − out.addHistory(myinfo, pl , ssm_invars(1), inhist );
+ − end
+ −
+ − %% Set output depending on nargout
+ − if nargout == 1;
+ − varargout = {out};
+ − elseif nargout == 2;
+ − varargout = {out plist_out};
+ − elseif nargout == 0;
+ − iplot(ao_out);
+ − else
+ − error('Wrong number of outputs')
+ − end
+ − end
+ −
+ − %--------------------------------------------------------------------------
+ − % Get Info Object
+ − %--------------------------------------------------------------------------
+ − function ii = getInfo(varargin)
+ −
+ − if nargin == 1 && strcmpi(varargin{1}, 'None')
+ − sets = {};
+ − pl = [];
+ − else
+ − sets = {'Default'};
+ − pl = getDefaultPlist;
+ − end
+ − % Build info object
+ − 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);
+ − end
+ −
+ − %--------------------------------------------------------------------------
+ − % Get Default Plist
+ − %--------------------------------------------------------------------------
+ − function pl = getDefaultPlist()
+ − pl = ssm.getInfo('reorganize', 'for simulate').plists;
+ − pl.remove('set');
+ −
+ − p = param({'covariance', 'The covariance of this noise between input ports for the <i>time-discrete</i> noise model.'}, []);
+ − pl.append(p);
+ −
+ − p = param({'CPSD', 'The one sided cross-psd of the white noise between input ports.'}, []);
+ − pl.append(p);
+ −
+ − p = param({'aos', 'An array of input AOs.'}, ao.initObjectWithSize(1,0));
+ − pl.append(p);
+ −
+ − p = param({'constants', 'Array of DC values for the different corresponding inputs.'}, paramValue.DOUBLE_VALUE(zeros(0,1)));
+ − pl.append(p);
+ −
+ − p = param({'Nsamples', 'The maximum number of samples to simulate (AO length(s) overide this).'}, paramValue.DOUBLE_VALUE(inf));
+ − pl.append(p);
+ −
+ − p = param({'ssini', 'A cell-array of vectors that give the initial position for simulation.'}, {});
+ − pl.append(p);
+ −
+ − p = param({'initialize', 'When set to 1, a random state value is computed for the initial point.'}, paramValue.FALSE_TRUE);
+ − pl.append(p);
+ −
+ − p = param({'tini', 'Same as t0; kept for backwards compatibility.'}, paramValue.EMPTY_DOUBLE );
+ − pl.append(p);
+ −
+ − p = param({'t0', 'The initial simulation time (seconds).'}, paramValue.EMPTY_DOUBLE );
+ − pl.append(p);
+ −
+ − p = param({'displayTime', 'Switch off/on the display'}, paramValue.TRUE_FALSE);
+ − pl.append(p);
+ −
+ − p = param({'termincond', 'A string to evaluate a termination condition on the states in x (''lastX'') or outputs in y (''lastY'')'}, paramValue.EMPTY_STRING);
+ − pl.append(p);
+ −
+ − 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);
+ − pl.append(p);
+ −
+ − p = param({'force complete', 'Force the use of the complete simulation code.'}, paramValue.FALSE_TRUE);
+ − pl.append(p);
+ −
+ − end
+ −