view m-toolbox/classes/@ssm/optimiseForFitting.m @ 26:ce4df2e95a55
database-connection-manager
Remove LTPDARepositoryManager initialization
author
Daniele Nicolodi <nicolodi@science.unitn.it>
date
Mon, 05 Dec 2011 16:20:06 +0100 (2011-12-05)
parents
f0afece42f48
children
line source
+ − % OPTIMISEFORFITTING reduces the system matrices to doubles and strings.
+ − %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+ − %
+ − %
+ − % DESCRIPTION: OPTIMISEFORFITTING reduces the system matrices to doubles
+ − % and strings.
+ − %
+ − % CALL: [ssm] = optimiseForFitting(ssm, pl);
+ − %
+ − % INPUTS :
+ − % ssm - a ssm object
+ − % pl - an option plist
+ − %
+ − %
+ − % OUTPUTS:
+ − % The output array are of size Nsys*Noptions
+ − % sys_out - (array of) ssm objects without the specified information
+ − %
+ − %
+ − % <a href="matlab:utils.helper.displayMethodInfo('ssm', 'simplify')">Parameters Description</a>
+ − %
+ − % VERSION: $Id: optimiseForFitting.m,v 1.4 2011/04/08 08:56:23 hewitson Exp $
+ − %
+ − %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+ −
+ − function varargout = optimiseForFitting(varargin)
+ −
+ − import utils.const.*
+ − utils.helper.msg(msg.PROC3, 'running %s/%s', mfilename('class'), mfilename);
+ − %% starting initial checks
+ −
+ − % Check if this is a call for parameters
+ − if utils.helper.isinfocall(varargin{:})
+ − varargout{1} = getInfo(varargin{3});
+ − return
+ − end
+ −
+ − % 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);
+ −
+ − Nsys = numel(sys);
+ − if Nsys ~= 1
+ − error('### Please input (only) one SSM model');
+ − end
+ −
+ − % Decide on a deep copy or a modify, depending on the output
+ − sys = copy(sys, nargout);
+ −
+ − %% begin function body
+ −
+ − % Loop over input systems
+ − for i_sys=1:Nsys
+ −
+ − % amats
+ − for kk=1:numel(sys(i_sys).amats)
+ − sys(i_sys).amats{kk} = simplifyMatrix(sys(i_sys).amats{kk});
+ − end
+ −
+ − % bmats
+ − for kk=1:numel(sys(i_sys).bmats)
+ − sys(i_sys).bmats{kk} = simplifyMatrix(sys(i_sys).bmats{kk});
+ − end
+ −
+ − % cmats
+ − for kk=1:numel(sys(i_sys).cmats)
+ − sys(i_sys).cmats{kk} = simplifyMatrix(sys(i_sys).cmats{kk});
+ − end
+ −
+ − % dmats
+ − for kk=1:numel(sys(i_sys).dmats)
+ − sys(i_sys).dmats{kk} = simplifyMatrix(sys(i_sys).dmats{kk});
+ − end
+ −
+ − sys(i_sys).clearAllUnits;
+ − sys(i_sys).clearNumParams;
+ −
+ − % updating size fields
+ − sys(i_sys).addHistory(getInfo('None'), pl , ssm_invars(i_sys), sys(i_sys).hist );
+ − end
+ −
+ − if nargout == numel(sys)
+ − for ii = 1:numel(sys)
+ − varargout{ii} = sys(ii);
+ − end
+ − else
+ − varargout{1} = sys;
+ − end
+ − end
+ −
+ −
+ − function m = simplifyMatrix(m)
+ − try
+ − m = eval(m);
+ − end
+ − if ~isnumeric(m)
+ − m = char(m);
+ − 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: optimiseForFitting.m,v 1.4 2011/04/08 08:56:23 hewitson Exp $', sets, pl);
+ − end
+ −
+ − %--------------------------------------------------------------------------
+ − % Get Default Plist
+ − %--------------------------------------------------------------------------
+ − function pl = getDefaultPlist()
+ − pl = plist();
+ − end
+ −