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bitrl & cuberl Documentation
Simulation engine for reinforcement learning agents
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Configuration class for the Kalman filter. More...
#include <kalman_filter.h>
Public Types | |
| typedef MotionModelType | motion_model_type |
| typedef ObservationModelType | observation_model_type |
Public Attributes | |
| motion_model_type * | motion_model |
| Pointer to the motion model. | |
| const observation_model_type * | observation_model |
| Pointer to the observation model. | |
| DynMat< real_t > | B |
| DynMat< real_t > | P |
| DynMat< real_t > | Q |
| DynMat< real_t > | K |
| DynMat< real_t > | R |
Configuration class for the Kalman filter.
| typedef MotionModelType bitrl::estimation::KalmanFilterConfig< MotionModelType, ObservationModelType >::motion_model_type |
| typedef ObservationModelType bitrl::estimation::KalmanFilterConfig< MotionModelType, ObservationModelType >::observation_model_type |
| DynMat<real_t> bitrl::estimation::KalmanFilterConfig< MotionModelType, ObservationModelType >::B |
| DynMat<real_t> bitrl::estimation::KalmanFilterConfig< MotionModelType, ObservationModelType >::K |
| motion_model_type* bitrl::estimation::KalmanFilterConfig< MotionModelType, ObservationModelType >::motion_model |
Pointer to the motion model.
| const observation_model_type* bitrl::estimation::KalmanFilterConfig< MotionModelType, ObservationModelType >::observation_model |
Pointer to the observation model.
| DynMat<real_t> bitrl::estimation::KalmanFilterConfig< MotionModelType, ObservationModelType >::P |
| DynMat<real_t> bitrl::estimation::KalmanFilterConfig< MotionModelType, ObservationModelType >::Q |
| DynMat<real_t> bitrl::estimation::KalmanFilterConfig< MotionModelType, ObservationModelType >::R |