Eulerexample.cpp File Reference

---

Detailed Description

An example implementation of a linear Kalman filter of a spring-mass system using the KalmanFilter class.

Author:

Author

simpliciter

Version:

Revision

1.1

Date:

Date

2003/07/04 16:19:43

Definition in file Eulerexample.cpp.

#include "ExtendedKalmanFilter.h"
#include <iostream>
#include <fstream>

Include dependency graph for Eulerexample.cpp:

Go to the source code of this file.

Functions
Matrix	Euler_Fmatrix (KalmanFilter *)
Matrix	Euler_Hmatrix (KalmanFilter *)
Matrix	Euler_Qmatrix (KalmanFilter *)
Matrix	Euler_Rmatrix (KalmanFilter *)
Vector	Euler_stateRHSFunc (double t, Vector initialState, Vector controls, Vector params)
Vector	Euler_measurementRHSFunc (ExtendedKalmanFilter *ekf)
int	main ()

---

Function Documentation

Matrix Euler_Fmatrix (  KalmanFilter *   )

Matrix Euler_Hmatrix (  KalmanFilter *   )

Vector Euler_measurementRHSFunc (  ExtendedKalmanFilter *  ekf  )

Matrix Euler_Qmatrix (  KalmanFilter *   )

Matrix Euler_Rmatrix (  KalmanFilter *   )

Vector Euler_stateRHSFunc (  double  t, Vector  initialState, Vector  controls, Vector  params )

int main (   )

Declare and initialize intermediate variables Set intial conditions Prepare input file Open input and output files Read in initial measurements Set up intial kalman filter data Declare and initalize filter Set up intial sequential filter data Output results to output file Get next measurement Set new SF data including new measurements Estimate state using measurements Note time of last update Output results to output file Definition at line 25 of file Eulerexample.cpp. References ExtendedKalmanFilter::EstimateState(), Euler_Fmatrix(), Euler_Hmatrix(), Euler_measurementRHSFunc(), Euler_Qmatrix(), Euler_Rmatrix(), Euler_stateRHSFunc(), SequentialFilter::GetStateVector(), O_SESSAME::Matrix, SequentialFilter::SetControlVector(), KalmanFilter::SetCovarianceMatrix(), KalmanFilter::SetKalmanGainMatrix(), KalmanFilter::SetMeasurementCovarianceMatrix(), KalmanFilter::SetMeasurementJacobianMatrix(), ExtendedKalmanFilter::SetMeasurementRHS(), SequentialFilter::SetMeasurementVector(), SequentialFilter::SetParameterVector(), KalmanFilter::SetStateJacobianMatrix(), ExtendedKalmanFilter::SetStateRHS(), SequentialFilter::SetStateVector(), KalmanFilter::SetSystemProcessNoiseMatrix(), SequentialFilter::SetTimeOfEstimate(), SequentialFilter::SetTimeOfMeasurements(), and O_SESSAME::Vector.

---