Q
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Public Member Functions | |
EKF_unQ (RV rx, RV ry, RV ru, RV rQ) | |
Default constructor. | |
void | condition (const vec &Q0) |
Substitute val for rvc . | |
void | set_parameters (diffbifn *pfxu, diffbifn *phxu, const ldmatQ0, const ldmatR0) |
Set nonlinear functions for mean values and covariance matrices. | |
void | set_parameters (const mat &A0, const mat &B0, const mat &C0, const mat &D0, const ldmat &R0, const ldmat &Q0) |
Set parameters with check of relevance. | |
void | bayes (const vec &dt) |
Here dt = [yt;ut] of appropriate dimensions. | |
void | bayes (mat Dt) |
Batch Bayes rule (columns of Dt are observations). | |
void | set_est (const vec &mu0, const ldmat &P0) |
Set estimate values, used e.g. in initialization. | |
epdf & | _epdf () |
access function | |
const RV & | _rv () const |
access function | |
double | _ll () const |
access function | |
const RV & | _rvc () const |
access function | |
Protected Attributes | |
RV | rvy |
Indetifier of output rv. | |
RV | rvu |
Indetifier of exogeneous rv. | |
int | dimx |
cache of rv.count() | |
int | dimy |
cache of rvy.count() | |
int | dimu |
cache of rvu.count() | |
mat | A |
Matrix A. | |
mat | B |
Matrix B. | |
mat | C |
Matrix C. | |
mat | D |
Matrix D. | |
ldmat | Q |
Matrix Q in square-root form. | |
ldmat | R |
Matrix R in square-root form. | |
enorm< ldmat > | est |
posterior density on $x_t$ | |
enorm< ldmat > | fy |
preditive density on $y_t$ | |
mat | _K |
placeholder for Kalman gain | |
vec * | _yp |
cache of fy.mu | |
ldmat * | _Ry |
cache of fy.R | |
ldmat * | _iRy |
cache of fy.iR | |
vec * | _mu |
cache of est.mu | |
ldmat * | _P |
cache of est.R | |
ldmat * | _iP |
cache of est.iR | |
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. |
Q
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