kalman_filter.hpp
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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 
33 #ifndef ACADO_TOOLKIT_KALMAN_FILTER_HPP
34 #define ACADO_TOOLKIT_KALMAN_FILTER_HPP
35 
36 
39 
40 
42 
43 
53 class KalmanFilter : public Estimator
54 {
55  //
56  // PUBLIC MEMBER FUNCTIONS:
57  //
58  public:
60  KalmanFilter( double _samplingTime = DEFAULT_SAMPLING_TIME
61  );
62 
64  KalmanFilter( const KalmanFilter& rhs );
65 
67  virtual ~KalmanFilter( );
68 
70  KalmanFilter& operator=( const KalmanFilter& rhs );
71 
72  virtual Estimator* clone( ) const;
73 
74 
76  virtual returnValue init( double startTime = 0.0,
77  const DVector &x0_ = emptyConstVector,
78  const DVector &p_ = emptyConstVector
79  );
80 
82  virtual returnValue step( double currentTime,
83  const DVector& _y
84  );
85 
86 
87  //
88  // PROTECTED MEMBER FUNCTIONS:
89  //
90  protected:
91 
92 
93 
94  //
95  // DATA MEMBERS:
96  //
97  protected:
98 };
99 
100 
102 
103 
104 
105 //#include <acado/estimator/kalman_filter.ipp>
106 
107 
108 #endif // ACADO_TOOLKIT_KALMAN_FILTER_HPP
109 
110 /*
111  * end of file
112  */
KalmanFilter & operator=(const KalmanFilter &rhs)
virtual returnValue init(double startTime=0.0, const DVector &x0_=emptyConstVector, const DVector &p_=emptyConstVector)
Allows to pass back messages to the calling function.
Provides a Kalman filter for state estimation.
#define CLOSE_NAMESPACE_ACADO
virtual ~KalmanFilter()
static const DVector emptyConstVector
Definition: vector.hpp:336
Base class for interfacing online state/parameter estimators.
Definition: estimator.hpp:56
void rhs(const real_t *x, real_t *f)
const double DEFAULT_SAMPLING_TIME
#define BEGIN_NAMESPACE_ACADO
KalmanFilter(double _samplingTime=DEFAULT_SAMPLING_TIME)
virtual returnValue step(double currentTime, const DVector &_y)
virtual Estimator * clone() const


acado
Author(s): Milan Vukov, Rien Quirynen
autogenerated on Mon Jun 10 2019 12:34:46