kalman_filter.cpp
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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  */
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39 
40 
41 //
42 // PUBLIC MEMBER FUNCTIONS:
43 //
44 
45 
46 KalmanFilter::KalmanFilter( double _samplingTime
47  ) : Estimator( _samplingTime )
48 {
50 }
51 
52 
54 {
55 }
56 
57 
59 {
60 }
61 
62 
64 {
65  if ( this != &rhs )
66  {
67 
68  Estimator::operator=( rhs );
69 
70  }
71 
72  return *this;
73 }
74 
75 
77 {
78  return new KalmanFilter( *this );
79 }
80 
81 
82 
83 returnValue KalmanFilter::init( double startTime,
84  const DVector &x0_,
85  const DVector &p_
86  )
87 {
89 
90  return SUCCESSFUL_RETURN;
91 }
92 
93 
94 returnValue KalmanFilter::step( double currentTime,
95  const DVector& _y
96  )
97 {
98  return SUCCESSFUL_RETURN;
99 }
100 
101 
102 
103 //
104 // PROTECTED MEMBER FUNCTIONS:
105 //
106 
107 
108 
109 
111 
112 // end of file.
KalmanFilter & operator=(const KalmanFilter &rhs)
Estimator & operator=(const Estimator &rhs)
Definition: estimator.cpp:72
virtual returnValue init(double startTime=0.0, const DVector &x0_=emptyConstVector, const DVector &p_=emptyConstVector)
returnValue setStatus(BlockStatus _status)
Allows to pass back messages to the calling function.
Provides a Kalman filter for state estimation.
#define CLOSE_NAMESPACE_ACADO
virtual ~KalmanFilter()
Base class for interfacing online state/parameter estimators.
Definition: estimator.hpp:56
void rhs(const real_t *x, real_t *f)
#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