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state-observation 1.7.0
General implementation of observers.
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Defines the base class of a Kalman filter. More...
#include <state-observation/api.h>#include <state-observation/observer/zero-delay-observer.hpp>#include <state-observation/tools/state-vector-arithmetics.hpp>Go to the source code of this file.
Classes | |
| class | stateObservation::KalmanFilterBase |
| It mostly implements the equations of Kalman filtering It is suitablle by derivation to be used incases of Linear, linearized and extended Kalman filtering. It may be derived to unscented Kalman filtering, but non-straighforwardly because the state vector is modified. This class requires to be derived to overload the update routine and the measurements simulation routine. More... | |
| struct | stateObservation::KalmanFilterBase::optimizationContainer |
Namespaces | |
| namespace | stateObservation |
| Filtering of divergent component of motion (DCM) and estimation of a bias betweeen the DCM and the corresponding zero moment point for a linearized inverted pendulum model. | |
Defines the base class of a Kalman filter.
It mostly implements the equations of Kalman filtering
It is suitablle by derivation to be used incases of Linear,
linearized and extended Kalman filtering. It may be
derived to unscented Kalman filtering, but non-straighforwardly
because the state vector is modified.
x_{k+1}=f(x_k,u_k)+v_k
y_k=h(x_k,u_k)+w_k
Definition in file kalman-filter-base.hpp.