Bayesian_filter::Indirect_kalman_filter< Error_base > Class Template Reference

#include <indirect.hpp>

Inheritance diagram for Bayesian_filter::Indirect_kalman_filter< Error_base >:

Public Member Functions
	Indirect_kalman_filter (Error_base &error_filter)
void	init ()
template<typename P_model >
void	predict (P_model &f)
template<typename O_model >
void	observe (O_model &h, const FM::Vec &z)
template<typename O_model >
void	observe_error (O_model &h, const FM::Vec &z_error)
void	update ()
Public Member Functions inherited from Bayesian_filter::Kalman_state_filter
	Kalman_state_filter (std::size_t x_size)
void	init_kalman (const FM::Vec &x, const FM::SymMatrix &X)
Public Member Functions inherited from Bayesian_filter::State_filter
	State_filter (std::size_t x_size)
Public Member Functions inherited from Bayesian_filter::Bayes_base
virtual	~Bayes_base ()=0

Additional Inherited Members
Public Types inherited from Bayesian_filter::Bayes_base
typedef Bayesian_filter_matrix::Float	Float
Static Public Member Functions inherited from Bayesian_filter::Bayes_base
static void	error (const Numeric_exception &a)
static void	error (const Logic_exception &a)
Public Attributes inherited from Bayesian_filter::Kalman_state_filter
FM::SymMatrix	X
Numerical_rcond	rclimit
Public Attributes inherited from Bayesian_filter::State_filter
FM::Vec	x

Constructor & Destructor Documentation

Indirect_kalman_filter()

template<typename Error_base >

Bayesian_filter::Indirect_kalman_filter< Error_base >::Indirect_kalman_filter ( Error_base &  error_filter )

inline

Member Function Documentation

init()

template<typename Error_base >

void Bayesian_filter::Indirect_kalman_filter< Error_base >::init ( )

inlinevirtual

Implements Bayesian_filter::Kalman_state_filter.

References Bayesian_filter::Kalman_state_filter::X.

observe()

template<typename Error_base >

template<typename O_model >

void Bayesian_filter::Indirect_kalman_filter< Error_base >::observe ( O_model &  h, const FM::Vec &  z  )

inline

References Bayesian_filter::State_filter::x.

observe_error()

template<typename Error_base >

template<typename O_model >

void Bayesian_filter::Indirect_kalman_filter< Error_base >::observe_error ( O_model &  h, const FM::Vec &  z_error  )

inline

References Bayesian_filter::State_filter::x.

predict()

template<typename Error_base >

template<typename P_model >

void Bayesian_filter::Indirect_kalman_filter< Error_base >::predict ( P_model &  f )

inline

References Bayesian_filter::State_filter::x.

update()

template<typename Error_base >

void Bayesian_filter::Indirect_kalman_filter< Error_base >::update ( )

inlinevirtual

Implements Bayesian_filter::Kalman_state_filter.

References Bayesian_filter::Kalman_state_filter::X.

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The documentation for this class was generated from the following file:

• indirect.hpp