ParameterEstimationAlgorithm

ParameterEstimationAlgorithm

  Usage:
    >> ParameterEstimationAlgorithm(ocp);

  Parameters:
    ocp         link to an OCP object                 [acado.OCP]

  Example:
    >> M = [...]  % measurement matrix
    >> ocp = acado.OCP(M(:,1));
    >> algo = acado.ParameterEstimationAlgorithm(ocp);   
    >> algo.initializeDifferentialStates(M);

  See also:
    acado.OptimizationAlgorithm.initializeDifferentialStates
    acado.OptimizationAlgorithm.initializeAlgebraicStates
    acado.OptimizationAlgorithm.initializeControls
    acado.OptimizationAlgorithm.initializeParameters
    acado.OptimizationAlgorithm.initializeDisturbances
    acado.OptimizationAlgorithm.set

  Licence:
    This file is part of ACADO Toolkit  - (http://www.acadotoolkit.org/)

    ACADO Toolkit -- A Toolkit for Automatic Control and Dynamic Optimization.
    Copyright (C) 2008-2009 by Boris Houska and Hans Joachim Ferreau, K.U.Leuven.
    Developed within the Optimization in Engineering Center (OPTEC) under
    supervision of Moritz Diehl. All rights reserved.

    ACADO Toolkit is free software; you can redistribute it and/or
    modify it under the terms of the GNU Lesser General Public
    License as published by the Free Software Foundation; either
    version 3 of the License, or (at your option) any later version.

    ACADO Toolkit is distributed in the hope that it will be useful,
    but WITHOUT ANY WARRANTY; without even the implied warranty of
    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
    Lesser General Public License for more details.

    You should have received a copy of the GNU Lesser General Public
    License along with ACADO Toolkit; if not, write to the Free Software
    Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301  USA

    Author: David Ariens
    Date: 2010

0001 %ParameterEstimationAlgorithm
0002 %
0003 %  Usage:
0004 %    >> ParameterEstimationAlgorithm(ocp);
0005 %
0006 %  Parameters:
0007 %    ocp         link to an OCP object                 [acado.OCP]
0008 %
0009 %  Example:
0010 %    >> M = [...]  % measurement matrix
0011 %    >> ocp = acado.OCP(M(:,1));
0012 %    >> algo = acado.ParameterEstimationAlgorithm(ocp);
0013 %    >> algo.initializeDifferentialStates(M);
0014 %
0015 %  See also:
0016 %    acado.OptimizationAlgorithm.initializeDifferentialStates
0017 %    acado.OptimizationAlgorithm.initializeAlgebraicStates
0018 %    acado.OptimizationAlgorithm.initializeControls
0019 %    acado.OptimizationAlgorithm.initializeParameters
0020 %    acado.OptimizationAlgorithm.initializeDisturbances
0021 %    acado.OptimizationAlgorithm.set
0022 %
0023 %  Licence:
0024 %    This file is part of ACADO Toolkit  - (http://www.acadotoolkit.org/)
0025 %
0026 %    ACADO Toolkit -- A Toolkit for Automatic Control and Dynamic Optimization.
0027 %    Copyright (C) 2008-2009 by Boris Houska and Hans Joachim Ferreau, K.U.Leuven.
0028 %    Developed within the Optimization in Engineering Center (OPTEC) under
0029 %    supervision of Moritz Diehl. All rights reserved.
0030 %
0031 %    ACADO Toolkit is free software; you can redistribute it and/or
0032 %    modify it under the terms of the GNU Lesser General Public
0033 %    License as published by the Free Software Foundation; either
0034 %    version 3 of the License, or (at your option) any later version.
0035 %
0036 %    ACADO Toolkit is distributed in the hope that it will be useful,
0037 %    but WITHOUT ANY WARRANTY; without even the implied warranty of
0038 %    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
0039 %    Lesser General Public License for more details.
0040 %
0041 %    You should have received a copy of the GNU Lesser General Public
0042 %    License along with ACADO Toolkit; if not, write to the Free Software
0043 %    Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301  USA
0044 %
0045 %    Author: David Ariens
0046 %    Date: 2010
0047 %
0048 classdef ParameterEstimationAlgorithm < acado.OptimizationAlgorithm    
0049     properties(SetAccess='private')
0050        
0051     end
0052     
0053     methods
0054         function obj = ParameterEstimationAlgorithm(varargin)
0055 
0056             if (nargin == 1 && isa(varargin{1}, 'acado.OCP') )
0057                 obj.ocp = varargin{1};   
0058             else
0059                error('ERROR: Invalid ParameterEstimationAlgorithm call. See <a href="matlab: help acado.ParameterEstimationAlgorithm">help acado.ParameterEstimationAlgorithm</a>'); 
0060             end
0061             
0062         end
0063         
0064         getInstructions(obj, cppobj, get)
0065 
0066         
0067     end
0068     
0069 end
0070