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view m-toolbox/classes/@ssm/double.m @ 0:f0afece42f48
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author | Daniele Nicolodi <nicolodi@science.unitn.it> |
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date | Wed, 23 Nov 2011 19:22:13 +0100 |
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% Convert a statespace model object to double arrays for given i/o %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % % DESCRIPTION: double converts a statespace model object to double arrays. % % CALL: [A B C D Ts ... % inputvarnames ssvarnames outputvarnames ... % inputvarunits ssvarunits outputvarunits ] = double(ssm, pl); % % INPUTS : % ssm - a ssm object % pl - an options plist % % OPTIONS : % plist with parameters 'inputs', 'states' and 'outputs' to indicate which % inputs, states and outputs variables are taken in account. This requires % proper variable naming. If a variable called appears more that once it % will be used once only. % The field may be : % - a cellstr containing the resp. input/state/output *variable* names % - a logical indexing the resp. input/state/output *variables* % names. Index is stored in a cell array, each cell % correponding to one input/state/output block. % - a double indexing the resp. input/state/output *variables* % names. Index is stored in a cell array, each cell % correponding to one input/state/output block. % - 'ALL', this string indicates all i/o variables will be % given % % % OUTPUTS : A - the As matrices in one double array % B - the Bs matrices in one double array % C - the Cs matrices in one double array % D - the Ds matrices in one double array % Ts - the sampling time of the system. 0 is % continuous % inputvarnames - the variable names corresponding to the % columns of B and D % ssvarnames - the variable names corresponding to the % rows of A and B, cols. of A and C % outputvarnames - the variable names corresponding to the % rows of C and D % inputvarunits - the variable names corresponding to the % columns of B and D % ssvarunits - the variable names corresponding to the % rows of A and B, cols. of A and C % outputunits - the variable names corresponding to the % rows of C and D % % % <a href="matlab:utils.helper.displayMethodInfo('ssm', 'double')">Parameters Description</a> % % VERSION: $Id: double.m,v 1.44 2011/04/08 08:56:22 hewitson Exp $ % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% function varargout = double(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.OMNAME, ['running ', mfilename]); in_names = cell(size(varargin)); [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()); if numel(sys)~=1 error('double takes exactly one ssm as input') elseif ~sys.isnumerical % checking system is numeric error(['error in double : system named ' sys.name ' is not numeric']) end %% begin function body %making model simplifications, and deepcopy indexInputs = makePortLogicalIndex( sys.inputs, find(pl,'inputs') ); indexStates = makePortLogicalIndex( sys.states, find(pl,'states') ); indexOutputs = makePortLogicalIndex( sys.outputs, find(pl,'outputs') ); %% pruning the object fields and assigning fields % cell_mat lines wanted cols wanted sys.amats = ssm.blockMatPrune(sys.amats, indexStates, indexStates); sys.bmats = ssm.blockMatPrune(sys.bmats, indexStates, indexInputs); sys.cmats = ssm.blockMatPrune(sys.cmats, indexOutputs, indexStates); sys.dmats = ssm.blockMatPrune(sys.dmats, indexOutputs, indexInputs); sys.inputs = applyPortLogicalIndex(sys.inputs, indexInputs ); sys.states = applyPortLogicalIndex(sys.states, indexStates ); sys.outputs = applyPortLogicalIndex(sys.outputs, indexOutputs ); % sys = doSimplify(sys0, pl); % Convert to double arrays A = ssm.blockMatFusion(sys.amats, sys.sssizes, sys.sssizes); B = ssm.blockMatFusion(sys.bmats, sys.sssizes, sys.inputsizes); C = ssm.blockMatFusion(sys.cmats, sys.outputsizes, sys.sssizes); D = ssm.blockMatFusion(sys.dmats, sys.outputsizes, sys.inputsizes); Ts = sys.timestep; inputvarnames = cell(1,sum(sys.inputsizes)); inputunit = unit.initObjectWithSize(1,sum(sys.inputsizes)); k=1; for i=1:sys.Ninputs for j=1:sys.inputsizes(i) inputvarnames{k} = sys.inputs(i).ports(j).name; inputunit(k) = sys.inputs(i).ports(j).units; k = k+1; end end ssvarnames = cell(1,sum(sys.sssizes)); ssunit = unit.initObjectWithSize(1,sum(sys.inputsizes)); k=1; for i=1:sys.Nss for j=1:sys.sssizes(i) ssvarnames{k} = sys.states(i).ports(j).name; ssunit(k) = sys.states(i).ports(j).units; k = k+1; end end outputvarnames = cell(1,sum(sys.outputsizes)); outputunit = unit.initObjectWithSize(1,sum(sys.inputsizes)); k=1; for i=1:sys.Noutputs for j=1:sys.outputsizes(i) outputvarnames{k} = sys.outputs(i).ports(j).name; outputunit(k) = sys.outputs(i).ports(j).units; k = k+1; end end %% parsing output varargout = {... A B C D Ts ... inputvarnames ssvarnames outputvarnames ... inputunit ssunit outputunit ... }; 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.output, '$Id: double.m,v 1.44 2011/04/08 08:56:22 hewitson Exp $', sets, pl); end %-------------------------------------------------------------------------- % Get Default Plist %-------------------------------------------------------------------------- function pl = getDefaultPlist() pl = plist(); p = param({'inputs', 'A cell-array of input ports.'}, 'ALL'); pl.append(p); p = param({'states', 'A cell-array of state ports.'}, 'ALL'); pl.append(p); p = param({'outputs', 'A cell-array of output ports.'}, 'ALL'); pl.append(p); end