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comparison m-toolbox/classes/@ssm/optimiseForFitting.m @ 0:f0afece42f48

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author Daniele Nicolodi <nicolodi@science.unitn.it>
date Wed, 23 Nov 2011 19:22:13 +0100
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1 % OPTIMISEFORFITTING reduces the system matrices to doubles and strings.
2 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
3 %
4 %
5 % DESCRIPTION: OPTIMISEFORFITTING reduces the system matrices to doubles
6 % and strings.
7 %
8 % CALL: [ssm] = optimiseForFitting(ssm, pl);
9 %
10 % INPUTS :
11 % ssm - a ssm object
12 % pl - an option plist
13 %
14 %
15 % OUTPUTS:
16 % The output array are of size Nsys*Noptions
17 % sys_out - (array of) ssm objects without the specified information
18 %
19 %
20 % <a href="matlab:utils.helper.displayMethodInfo('ssm', 'simplify')">Parameters Description</a>
21 %
22 % VERSION: $Id: optimiseForFitting.m,v 1.4 2011/04/08 08:56:23 hewitson Exp $
23 %
24 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
25
26 function varargout = optimiseForFitting(varargin)
27
28 import utils.const.*
29 utils.helper.msg(msg.PROC3, 'running %s/%s', mfilename('class'), mfilename);
30 %% starting initial checks
31
32 % Check if this is a call for parameters
33 if utils.helper.isinfocall(varargin{:})
34 varargout{1} = getInfo(varargin{3});
35 return
36 end
37
38 % Collect input variable names
39 in_names = cell(size(varargin));
40 for ii = 1:nargin,in_names{ii} = inputname(ii);end
41
42 % Collect all SSMs and plists
43 [sys, ssm_invars, rest] = utils.helper.collect_objects(varargin(:), 'ssm', in_names);
44 [pl, invars2, rest] = utils.helper.collect_objects(rest(:), 'plist');
45 if ~isempty(rest)
46 pl = combine(pl, plist(rest{:}));
47 end
48 pl = combine(pl, getDefaultPlist);
49
50 Nsys = numel(sys);
51 if Nsys ~= 1
52 error('### Please input (only) one SSM model');
53 end
54
55 % Decide on a deep copy or a modify, depending on the output
56 sys = copy(sys, nargout);
57
58 %% begin function body
59
60 % Loop over input systems
61 for i_sys=1:Nsys
62
63 % amats
64 for kk=1:numel(sys(i_sys).amats)
65 sys(i_sys).amats{kk} = simplifyMatrix(sys(i_sys).amats{kk});
66 end
67
68 % bmats
69 for kk=1:numel(sys(i_sys).bmats)
70 sys(i_sys).bmats{kk} = simplifyMatrix(sys(i_sys).bmats{kk});
71 end
72
73 % cmats
74 for kk=1:numel(sys(i_sys).cmats)
75 sys(i_sys).cmats{kk} = simplifyMatrix(sys(i_sys).cmats{kk});
76 end
77
78 % dmats
79 for kk=1:numel(sys(i_sys).dmats)
80 sys(i_sys).dmats{kk} = simplifyMatrix(sys(i_sys).dmats{kk});
81 end
82
83 sys(i_sys).clearAllUnits;
84 sys(i_sys).clearNumParams;
85
86 % updating size fields
87 sys(i_sys).addHistory(getInfo('None'), pl , ssm_invars(i_sys), sys(i_sys).hist );
88 end
89
90 if nargout == numel(sys)
91 for ii = 1:numel(sys)
92 varargout{ii} = sys(ii);
93 end
94 else
95 varargout{1} = sys;
96 end
97 end
98
99
100 function m = simplifyMatrix(m)
101 try
102 m = eval(m);
103 end
104 if ~isnumeric(m)
105 m = char(m);
106 end
107 end
108
109 %--------------------------------------------------------------------------
110 % Get Info Object
111 %--------------------------------------------------------------------------
112 function ii = getInfo(varargin)
113
114 if nargin == 1 && strcmpi(varargin{1}, 'None')
115 sets = {};
116 pl = [];
117 else
118 sets = {'Default'};
119 pl = getDefaultPlist;
120 end
121 % Build info object
122 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);
123 end
124
125 %--------------------------------------------------------------------------
126 % Get Default Plist
127 %--------------------------------------------------------------------------
128 function pl = getDefaultPlist()
129 pl = plist();
130 end
131