parameter_estimation_algorithm.hpp
Go to the documentation of this file.
1 /*
2  * This file is part of ACADO Toolkit.
3  *
4  * ACADO Toolkit -- A Toolkit for Automatic Control and Dynamic Optimization.
5  * Copyright (C) 2008-2014 by Boris Houska, Hans Joachim Ferreau,
6  * Milan Vukov, Rien Quirynen, KU Leuven.
7  * Developed within the Optimization in Engineering Center (OPTEC)
8  * under supervision of Moritz Diehl. All rights reserved.
9  *
10  * ACADO Toolkit is free software; you can redistribute it and/or
11  * modify it under the terms of the GNU Lesser General Public
12  * License as published by the Free Software Foundation; either
13  * version 3 of the License, or (at your option) any later version.
14  *
15  * ACADO Toolkit is distributed in the hope that it will be useful,
16  * but WITHOUT ANY WARRANTY; without even the implied warranty of
17  * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
18  * Lesser General Public License for more details.
19  *
20  * You should have received a copy of the GNU Lesser General Public
21  * License along with ACADO Toolkit; if not, write to the Free Software
22  * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
23  *
24  */
25 
26 
34 #ifndef ACADO_TOOLKIT_PARAMETER_ESTIMATION_ALGORITHM_HPP
35 #define ACADO_TOOLKIT_PARAMETER_ESTIMATION_ALGORITHM_HPP
36 
37 
41 #include <acado/ocp/ocp.hpp>
44 
45 
47 
48 
60 
61  //
62  // PUBLIC MEMBER FUNCTIONS:
63  //
64  public:
65 
68 
70  ParameterEstimationAlgorithm( const OCP& ocp_ );
71 
74 
77 
80 
81 
82 
88 
89 
95 
96 
102 
103 
109 
110 
116 
117 
123 
124 
125 
126 
127  //
128  // PROTECTED MEMBER FUNCTIONS:
129  //
130  protected:
131 
132  virtual returnValue initializeNlpSolver( const OCPiterate& _userInit
133  );
134 
136  );
137 
138 
139  //
140  // DATA MEMBERS:
141  //
142  protected:
143 
144 
145 };
146 
147 
149 
150 
151 
152 #include <acado/optimization_algorithm/parameter_estimation_algorithm.ipp>
153 
154 
155 #endif // ACADO_TOOLKIT_PARAMETER_ESTIMATION_ALGORITHM_HPP
156 
157 /*
158  * end of file
159  */
Data class for storing generic optimization variables.
Definition: ocp_iterate.hpp:57
virtual returnValue initializeObjective(Objective *F)
ParameterEstimationAlgorithm & operator=(const ParameterEstimationAlgorithm &arg)
returnValue getAlgebraicStateVarianceCovariance(DMatrix &xaVar)
User-interface to formulate and solve optimal control problems and static NLPs.
Allows to pass back messages to the calling function.
returnValue getControlCovariance(DMatrix &uVar)
returnValue getParameterVarianceCovariance(DMatrix &pVar)
#define CLOSE_NAMESPACE_ACADO
User-interface to formulate and solve parameter estimation problems.
returnValue getDistubanceVarianceCovariance(DMatrix &wVar)
returnValue getDifferentialStateVarianceCovariance(DMatrix &xVar)
Data class for defining optimal control problems.
Definition: ocp.hpp:89
#define BEGIN_NAMESPACE_ACADO
virtual returnValue initializeNlpSolver(const OCPiterate &_userInit)
Stores and evaluates the objective function of optimal control problems.
Definition: objective.hpp:123


acado
Author(s): Milan Vukov, Rien Quirynen
autogenerated on Mon Jun 10 2019 12:34:55