Basic elements of linear state-space model. More...
Basic elements of linear state-space model.
Parameter evolution model:
Observation model:
Where $e_t$ and $w_t$ are independent vectors Normal(0,1)-distributed disturbances.
#include <kalman.h>
Public Member Functions | |
| StateSpace (const StateSpace< sq_T > &S0) | |
| void | set_parameters (const mat &A0, const mat &B0, const mat &C0, const mat &D0, const sq_T &Q0, const sq_T &R0) | 
| void | validate () | 
| void | from_setting (const Setting &set) | 
| not virtual in this case  | |
| int | _dimx () | 
| access function  | |
| int | _dimy () | 
| access function  | |
| int | _dimu () | 
| access function  | |
| const mat & | _A () const | 
| access function  | |
| const mat & | _B () const | 
| access function  | |
| const mat & | _C () const | 
| access function  | |
| const mat & | _D () const | 
| access function  | |
| const sq_T & | _Q () const | 
| access function  | |
| const sq_T & | _R () const | 
| access function  | |
Protected Attributes | |
| 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.  | |
| sq_T | Q | 
| Matrix Q in square-root form.  | |
| sq_T | R | 
| Matrix R in square-root form.  | |
 1.6.1