nonlinearanalyticconditionalgaussianmobile.cpp

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// $Id: nonlinearanalyticconditionalgaussianmobile.cpp 5823 2005-10-27 13:43:02Z TDeLaet $
// Copyright (C) 2006  Tinne De Laet <first dot last at mech dot kuleuven dot be>
//
// This program 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 2.1 of the License, or
// (at your option) any later version.
//
// This program 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 this program; if not, write to the Free Software
// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
//

#include "nonlinearanalyticconditionalgaussianmobile.h"
#include <wrappers/rng/rng.h> // Wrapper around several rng
                                 // libraries
#define NUMCONDARGUMENTS_MOBILE 2

namespace BFL
{
  using namespace MatrixWrapper;


  NonLinearAnalyticConditionalGaussianMobile::NonLinearAnalyticConditionalGaussianMobile(const Gaussian& additiveNoise)
    : AnalyticConditionalGaussianAdditiveNoise(additiveNoise,NUMCONDARGUMENTS_MOBILE)
  {
  }


  NonLinearAnalyticConditionalGaussianMobile::~NonLinearAnalyticConditionalGaussianMobile(){}

  ColumnVector NonLinearAnalyticConditionalGaussianMobile::ExpectedValueGet() const
  {
    ColumnVector state = ConditionalArgumentGet(0);
    ColumnVector vel  = ConditionalArgumentGet(1);
    state(1) += cos(state(3)) * vel(1);
    state(2) += sin(state(3)) * vel(1);
    state(3) += vel(2);
    return state + AdditiveNoiseMuGet();
  }

  Matrix NonLinearAnalyticConditionalGaussianMobile::dfGet(unsigned int i) const
  {
    if (i < NumConditionalArgumentsGet())
      {
          if (i==0)//derivative to the first conditional argument (x)
          {
              ColumnVector state = ConditionalArgumentGet(0);
              ColumnVector vel = ConditionalArgumentGet(1);
               Matrix df(3,3);
               df(1,1)=1;
               df(1,2)=0;
               df(1,3)=-vel(1)*sin(state(3));
               df(2,1)=0;
               df(2,2)=1;
               df(2,3)=vel(1)*cos(state(3));
               df(3,1)=0;
               df(3,2)=0;
               df(3,3)=1;
               return df;
          }
          else
          {
               cerr << "The df is not implemented for the" <<i << "th conditional argument\n";
                   exit(-BFL_ERRMISUSE);
          }
      }
     else
     {
            cerr << "This pdf Only has " << NumConditionalArgumentsGet() << " conditional arguments\n";
            exit(-BFL_ERRMISUSE);
      }

  }
}//namespace BFL