kalman_filter.cpp
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00001 /*
00002  *    This file is part of ACADO Toolkit.
00003  *
00004  *    ACADO Toolkit -- A Toolkit for Automatic Control and Dynamic Optimization.
00005  *    Copyright (C) 2008-2014 by Boris Houska, Hans Joachim Ferreau,
00006  *    Milan Vukov, Rien Quirynen, KU Leuven.
00007  *    Developed within the Optimization in Engineering Center (OPTEC)
00008  *    under supervision of Moritz Diehl. All rights reserved.
00009  *
00010  *    ACADO Toolkit is free software; you can redistribute it and/or
00011  *    modify it under the terms of the GNU Lesser General Public
00012  *    License as published by the Free Software Foundation; either
00013  *    version 3 of the License, or (at your option) any later version.
00014  *
00015  *    ACADO Toolkit is distributed in the hope that it will be useful,
00016  *    but WITHOUT ANY WARRANTY; without even the implied warranty of
00017  *    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
00018  *    Lesser General Public License for more details.
00019  *
00020  *    You should have received a copy of the GNU Lesser General Public
00021  *    License along with ACADO Toolkit; if not, write to the Free Software
00022  *    Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301  USA
00023  *
00024  */
00025 
00026 
00034 #include <acado/estimator/kalman_filter.hpp>
00035 
00036 
00037 
00038 BEGIN_NAMESPACE_ACADO
00039 
00040 
00041 //
00042 // PUBLIC MEMBER FUNCTIONS:
00043 //
00044 
00045 
00046 KalmanFilter::KalmanFilter(     double _samplingTime
00047                                                         ) : Estimator( _samplingTime )
00048 {
00049         setStatus( BS_NOT_INITIALIZED );
00050 }
00051 
00052 
00053 KalmanFilter::KalmanFilter( const KalmanFilter& rhs ) : Estimator( rhs )
00054 {
00055 }
00056 
00057 
00058 KalmanFilter::~KalmanFilter( )
00059 {
00060 }
00061 
00062 
00063 KalmanFilter& KalmanFilter::operator=( const KalmanFilter& rhs )
00064 {
00065         if ( this != &rhs )
00066         {
00067 
00068                 Estimator::operator=( rhs );
00069 
00070         }
00071 
00072     return *this;
00073 }
00074 
00075 
00076 Estimator* KalmanFilter::clone( ) const
00077 {
00078         return new KalmanFilter( *this );
00079 }
00080 
00081 
00082 
00083 returnValue KalmanFilter::init( double startTime,
00084                                                                 const DVector &x0_,
00085                                                                 const DVector &p_
00086                                                                 )
00087 {
00088         setStatus( BS_READY );
00089 
00090         return SUCCESSFUL_RETURN;
00091 }
00092 
00093 
00094 returnValue KalmanFilter::step( double currentTime,
00095                                                                 const DVector& _y
00096                                                                 )
00097 {
00098         return SUCCESSFUL_RETURN;
00099 }
00100 
00101 
00102 
00103 //
00104 // PROTECTED MEMBER FUNCTIONS:
00105 //
00106 
00107 
00108 
00109 
00110 CLOSE_NAMESPACE_ACADO
00111 
00112 // end of file.


acado
Author(s): Milan Vukov, Rien Quirynen
autogenerated on Thu Aug 27 2015 11:58:54