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author | Daniele Nicolodi <nicolodi@science.unitn.it> |
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date | Mon, 05 Dec 2011 16:20:06 +0100 |
parents | f0afece42f48 |
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% REOGANIZE rearranges a ssm object for fast input to BODE, SIMULATE, PSD. %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % % DESCRIPTION: rearranges a ssm object for fast input to BODE, SIMULATE, PSD. % % CALL: sys = reshuffle(sys, plist) % % INPUTS: % 'sys' - ssm object % 'plist' - plist object % % The inputs/states/outputs can only be indexed using a cellstr containing % block names or port names. % Then the object can be passed to BODE, SIMULATE, PSD, CPSD, RESP with % the option "rearrange" turned to "false". These functions will run % significantly faster. % % OUTPUTS: % % 'sys' - a ssm object. % % <a href="matlab:utils.helper.displayMethodInfo('ssm', 'reorganize')">Parameters Description</a> % % VERSION : $Id: reorganize.m,v 1.19 2011/05/23 14:15:44 adrien Exp $ % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% function varargout = reorganize(varargin) %% starting initial checks % 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.MNAME, ['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); [pli, invars2, rest] = utils.helper.collect_objects(rest(:), 'plist'); if ~isempty(rest) pli = pli.combine(plist(rest{:})); end if numel(sys)~=1 error(['There should be only one input object to ' mfilename]) end %%% Internal call: Only one object + don't look for a plist internal = strcmp(varargin{end}, 'internal'); set = pli.find('set'); pli = pli.combine(getDefaultPlist(set)); sys = copy(sys, nargout); switch(lower(set)) case 'none' error('the options "set" HAS to be specified'); case 'for bode' inputnames = pli.find('inputs'); statenames = pli.find('states'); outputnames = pli.find('outputs'); sys.reshuffle(inputnames, {}, {}, 'ALL', outputnames, statenames); case 'for resp' inputnames = pli.find('inputs'); statenames = pli.find('states'); outputnames = pli.find('outputs'); sys.reshuffle( inputnames, {}, {}, 'ALL', outputnames, statenames); case 'for simulate' aos_varnames = find(pli, 'aos variable names'); cov_varnames = find(pli, 'covariance variable names'); cpsd_varnames = find(pli, 'CPSD variable names'); constants_varnames = find(pli, 'constant variable names'); return_states = find(pli, 'return states'); return_outputs = find(pli, 'return outputs'); sys.reshuffle( aos_varnames, [cov_varnames cpsd_varnames], constants_varnames, 'ALL', return_outputs, return_states ); case 'for kalman' aos_varnames = find(pli, 'aos variable names'); cov_varnames = find(pli, 'covariance variable names'); cpsd_varnames = find(pli, 'cpsd variable names'); constants_varnames = find(pli, 'constant variable names'); return_states = find(pli, 'return states'); return_outputs = find(pli, 'return outputs'); known_outputs = find(pli, 'known output variable names'); sys_est = copy(sys,true); sys_exp = copy(sys,true); sys_est = reshuffle(sys_est, aos_varnames, [cov_varnames cpsd_varnames], constants_varnames, 'ALL', return_outputs, return_states ); sys_exp = reshuffle(sys_exp, aos_varnames, [cov_varnames cpsd_varnames], constants_varnames, 'ALL', known_outputs, 'none' ); sys = [sys_est sys_exp]; case 'for cpsd' aos_varnames = find(pli, 'aos variable names'); cov_varnames = find(pli, 'covariance variable names'); cpsd_varnames = find(pli, 'CPSD variable names'); PZmodels_varnames = find(pli, 'PZmodel variable names'); return_states = find(pli, 'return states'); return_outputs = find(pli, 'return outputs'); sys.reshuffle( aos_varnames, [cov_varnames cpsd_varnames], PZmodels_varnames, 'ALL', return_outputs, return_states ); case 'for psd' aos_varnames = find(pli, 'aos variable names'); cov_varnames = find(pli, 'variance variable names'); cpsd_varnames = find(pli, 'PSD variable names'); PZmodels_varnames = find(pli, 'PZmodel variable names'); return_states = find(pli, 'return states'); return_outputs = find(pli, 'return outputs'); sys.reshuffle( aos_varnames, [cov_varnames cpsd_varnames], PZmodels_varnames, 'ALL', return_outputs, return_states ); case 'for cpsdforcorrelatedinputs' aos_varnames = find(pli, 'aos variable names'); cov_varnames = find(pli, 'covariance variable names'); cpsd_varnames = find(pli, 'CPSD variable names'); PZmodels_varnames = find(pli, 'PZmodel variable names'); return_states = find(pli, 'return states'); return_outputs = find(pli, 'return outputs'); sys.reshuffle( aos_varnames, [cov_varnames cpsd_varnames], PZmodels_varnames, 'ALL', return_outputs, return_states ); case 'for cpsdforindependentinputs' aos_varnames = find(pli, 'aos variable names'); cov_varnames = find(pli, 'variance variable names'); cpsd_varnames = find(pli, 'PSD variable names'); PZmodels_varnames = find(pli, 'PZmodel variable names'); return_states = find(pli, 'return states'); return_outputs = find(pli, 'return outputs'); sys.reshuffle( aos_varnames, [cov_varnames cpsd_varnames], PZmodels_varnames, 'ALL', return_outputs, return_states ); case 'none' error('please set the parameter "set"') otherwise error('unknown parameter "set"') end if ~internal for i_sys = 1:numel(sys) sys(i_sys).addHistory(getInfo('None'), pli, ssm_invars, sys(i_sys).hist ); end end sys.validate; varargout = {sys}; end %-------------------------------------------------------------------------- % Get Info Object %-------------------------------------------------------------------------- function ii = getInfo(varargin) if nargin == 1 && strcmpi(varargin{1}, 'None') sets = {}; pl = []; elseif nargin == 1 && ~isempty(varargin{1}) && ischar(varargin{1}) sets{1} = varargin{1}; pl = getDefaultPlist(sets{1}); else sets = getSets; pl = plist.initObjectWithSize(1,numel(sets)); for i=1:numel(sets) pl(i) = getDefaultPlist(sets{i}); end end % Build info object ii = minfo(mfilename, 'reorganize', 'ltpda', utils.const.categories.op, '$Id: reorganize.m,v 1.19 2011/05/23 14:15:44 adrien Exp $', sets, pl); end function sets = getSets sets = {'For bode', 'For simulate', 'For kalman', 'For cpsd', 'For resp', ... 'For psd', 'for cpsdforindependentinputs', 'for cpsdforcorrelatedinputs', 'none'}; end function pl = getDefaultPlist(set) sets = lower(getSets); if ~utils.helper.ismember(sets, lower(set)) error('### Unknown set [%s]', set); end pl = plist(); p = param({'set','Choose for which operation the ssm iois re-organized is done'},... {7, getSets, paramValue.SINGLE}); pl.append(p); switch lower(set) % Select parameter set case 'for bode' p = param({'inputs', 'A cell-array of input ports and blocks.'}, 'ALL' ); pl.append(p); p = param({'outputs', 'A cell-array of output ports and blocks.'}, 'ALL' ); pl.append(p); p = param({'states', 'A cell-array of states ports and blocks.'}, 'NONE' ); pl.append(p); case 'for simulate' p = param({'covariance variable names', 'A cell-array of strings specifying the desired input variable names.'}, paramValue.EMPTY_CELL ); pl.append(p); p = param({'CPSD variable names', 'A cell-array of strings specifying the desired input variable names.'}, paramValue.EMPTY_CELL ); pl.append(p); p = param({'aos variable names', 'A cell-array of input port names corresponding to the different input AOs.'}, paramValue.EMPTY_CELL); pl.append(p); p = param({'constant variable names', 'A cell-array of strings of the desired input variable names.'}, paramValue.EMPTY_CELL); pl.append(p); p = param({'return states', 'A cell-array of names of state ports to return.'}, paramValue.EMPTY_CELL); pl.append(p); p = param({'return outputs', 'A cell-array of output ports to return.'}, paramValue.EMPTY_CELL); pl.append(p); case 'for kalman' p = param({'covariance variable names', 'A cell-array of strings specifying the desired input variable names.'}, paramValue.EMPTY_CELL ); pl.append(p); p = param({'CPSD variable names', 'A cell-array of strings specifying the desired input variable names.'}, paramValue.EMPTY_CELL ); pl.append(p); p = param({'aos variable names', 'A cell-array of input port names corresponding to the different input AOs.'}, paramValue.EMPTY_CELL); pl.append(p); p = param({'constant variable names', 'A cell-array of strings of the desired input variable names.'}, paramValue.EMPTY_CELL); pl.append(p); p = param({'return states', 'A cell-array of names of state ports to return.'}, paramValue.EMPTY_CELL); pl.append(p); p = param({'return outputs', 'A cell-array of output ports to return.'}, paramValue.EMPTY_CELL); pl.append(p); p = param({'known output variable names', 'A cell-array of strings of the known output variable names.'}, paramValue.EMPTY_CELL); pl.append(p); case 'for cpsd' p = param({'covariance variable names', 'A cell-array of strings specifying the desired input variable names.'}, paramValue.EMPTY_CELL ); pl.append(p); p = param({'CPSD variable names', 'A cell-array of strings specifying the desired input variable names.'}, paramValue.EMPTY_CELL ); pl.append(p); p = param({'PZmodel variable names', 'A cell-array of strings of the desired input variable names.'}, paramValue.EMPTY_CELL); pl.append(p); p = param({'aos variable names', 'A cell-array of input defined with AOs spectrums.'}, paramValue.EMPTY_CELL); pl.append(p); p = param({'return states', 'A cell-array of names of state ports to return.'}, paramValue.EMPTY_CELL); pl.append(p); p = param({'return outputs', 'A cell-array of output ports to return.'}, paramValue.EMPTY_CELL); pl.append(p); case 'for resp' p = param({'inputs', 'A cell-array of input ports and blocks.'}, 'ALL' ); pl.append(p); p = param({'outputs', 'A cell-array of output ports and blocks.'}, 'ALL' ); pl.append(p); p = param({'states', 'A cell-array of states ports and blocks.'}, 'NONE' ); pl.append(p); case 'for psd' p = param({'variance variable names', 'A cell-array of strings specifying the desired input variable names.'}, paramValue.EMPTY_CELL ); pl.append(p); p = param({'PSD variable names', 'A cell-array of strings specifying the desired input variable names.'}, paramValue.EMPTY_CELL ); pl.append(p); p = param({'PZmodel variable names', 'A cell-array of strings of the desired input variable names.'}, paramValue.EMPTY_CELL); pl.append(p); p = param({'aos variable names', 'A cell-array of input defined with AOs spectrums.'}, paramValue.EMPTY_CELL); pl.append(p); p = param({'return states', 'A cell-array of names of state ports to return.'}, paramValue.EMPTY_CELL); pl.append(p); p = param({'return outputs', 'A cell-array of output ports to return.'}, paramValue.EMPTY_CELL); pl.append(p); case 'for cpsdforindependentinputs' p = param({'variance variable names', 'A cell-array of strings specifying the desired input variable names.'}, paramValue.EMPTY_CELL ); pl.append(p); p = param({'PSD variable names', 'A cell-array of strings specifying the desired input variable names.'}, paramValue.EMPTY_CELL ); pl.append(p); p = param({'PZmodel variable names', 'A cell-array of strings of the desired input variable names.'}, paramValue.EMPTY_CELL); pl.append(p); p = param({'aos variable names', 'A cell-array of input defined with AOs spectrums.'}, paramValue.EMPTY_CELL); pl.append(p); p = param({'return states', 'A cell-array of names of state ports to return.'}, paramValue.EMPTY_CELL); pl.append(p); p = param({'return outputs', 'A cell-array of output ports to return.'}, paramValue.EMPTY_CELL); pl.append(p); case 'for cpsdforcorrelatedinputs' p = param({'covariance variable names', 'A cell-array of strings specifying the desired input variable names.'}, paramValue.EMPTY_CELL ); pl.append(p); p = param({'CPSD variable names', 'A cell-array of strings specifying the desired input variable names.'}, paramValue.EMPTY_CELL ); pl.append(p); p = param({'PZmodel variable names', 'A cell-array of strings of the desired input variable names.'}, paramValue.EMPTY_CELL); pl.append(p); p = param({'aos variable names', 'A cell-array of input defined with AOs spectrums.'}, paramValue.EMPTY_CELL); pl.append(p); p = param({'return states', 'A cell-array of names of state ports to return.'}, paramValue.EMPTY_CELL); pl.append(p); p = param({'return outputs', 'A cell-array of output ports to return.'}, paramValue.EMPTY_CELL); pl.append(p); end end