bitrl & cuberl Documentation
Simulation engine for reinforcement learning agents
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bitrl::estimation::KalmanFilter< MotionModelType, ObservationModelType > Member List

This is the complete list of members for bitrl::estimation::KalmanFilter< MotionModelType, ObservationModelType >, including all inherited members.

config_type typedefbitrl::estimation::KalmanFilter< MotionModelType, ObservationModelType >
estimate(const input_type &input)bitrl::estimation::KalmanFilter< MotionModelType, ObservationModelType >
get(const std::string &name) constbitrl::estimation::KalmanFilter< MotionModelType, ObservationModelType >inline
get_state() constbitrl::estimation::KalmanFilter< MotionModelType, ObservationModelType >inline
get_state()bitrl::estimation::KalmanFilter< MotionModelType, ObservationModelType >inline
has_matrix(const std::string &name) constbitrl::estimation::KalmanFilter< MotionModelType, ObservationModelType >
input_type typedefbitrl::estimation::KalmanFilter< MotionModelType, ObservationModelType >
KalmanFilter(const KalmanFilterConfig< MotionModelType, ObservationModelType > &config)bitrl::estimation::KalmanFilter< MotionModelType, ObservationModelType >
matrix_type typedefbitrl::estimation::KalmanFilter< MotionModelType, ObservationModelType >
motion_model_type typedefbitrl::estimation::KalmanFilter< MotionModelType, ObservationModelType >
observation_model_type typedefbitrl::estimation::KalmanFilter< MotionModelType, ObservationModelType >
operator[](const std::string &name) constbitrl::estimation::KalmanFilter< MotionModelType, ObservationModelType >
operator[](const std::string &name)bitrl::estimation::KalmanFilter< MotionModelType, ObservationModelType >
predict(const input_type &input)bitrl::estimation::KalmanFilter< MotionModelType, ObservationModelType >
set_matrix(const std::string &name, const matrix_type &mat)bitrl::estimation::KalmanFilter< MotionModelType, ObservationModelType >
set_motion_model(motion_model_type &motion_model)bitrl::estimation::KalmanFilter< MotionModelType, ObservationModelType >inline
set_observation_model(const observation_model_type &observation_model)bitrl::estimation::KalmanFilter< MotionModelType, ObservationModelType >inline
state_type typedefbitrl::estimation::KalmanFilter< MotionModelType, ObservationModelType >
update(const input_type &input)bitrl::estimation::KalmanFilter< MotionModelType, ObservationModelType >
with_matrix(const std::string &name, const matrix_type &mat)bitrl::estimation::KalmanFilter< MotionModelType, ObservationModelType >