EKFfixed Class Reference
Extended Kalman Filter in full matrices. More...
#include <ekf_obj.h>
Inheritance diagram for EKFfixed:
Collaboration diagram for EKFfixed:
Public Member Functions | |
| void | init_ekf (double Tv) |
| void | ekf (double ux, double uy, double isxd, double isyd) |
| void | prediction (int *ux) |
| void | correction (void) |
| void | update_psi (void) |
| EKFfixed (RV rvx, RV rvc) | |
| Default constructor. | |
| void | bayes (const vec &dt) |
| Here dt = [yt;ut] of appropriate dimensions. | |
| epdf & | _epdf () |
| dummy! | |
| void | condition (const vec &Q0) |
Substitute val for rvc. | |
| void | bayes (mat Dt) |
| Batch Bayes rule (columns of Dt are observations). | |
| const RV & | _rv () const |
| access function | |
| double | _ll () const |
| access function | |
| const RV & | _rvc () const |
| access function | |
Public Attributes | |
| int | Q [16] |
| int | R [4] |
| int | x_est [4] |
| int | x_pred [4] |
| int | P_pred [16] |
| int | P_est [16] |
| int | Y_mes [2] |
| int | ukalm [2] |
| int | Kalm [8] |
| int | PSI [16] |
| int | temp15a [16] |
| int | cA |
| int | cB |
| int | cC |
| int | cG |
| int | cH |
| long | temp30a [4] |
| enorm< fsqmat > | E |
| mat | Ry |
Protected Attributes | |
| RV | rv |
| Random variable of the posterior. | |
| double | ll |
| Logarithm of marginalized data likelihood. | |
| bool | evalll |
If true, the filter will compute likelihood of the data record and store it in ll . Set to false if you want to save time. | |
| RV | rvc |
| Identificator of the conditioning variable. | |
Detailed Description
Extended Kalman Filter in full matrices.An approximation of the exact Bayesian filter with Gaussian noices and non-linear evolutions of their mean.
The documentation for this class was generated from the following files:
- work/mixpp/pmsm/simulator_zdenek/ekf_example/ekf_obj.h
- work/mixpp/pmsm/simulator_zdenek/ekf_example/ekf_obj.cpp
