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Publikace
Detail publikace
Citace
: Multigrid design in point-mass approach to nonlinear state estimation . 13th IFAC Symposium on System Identification, p. 1731-1736, OMNIPRESS, Rotterdam, 2003.
Abstrakt
Numerical solution of the Bayesian recursive relations in state estimation by the point-mass approach is treated. The stress is laid on the new grid design for multimodal probability density functions of state. A bank of grids is used for representation of the state space to cover different modes of the density. Splitting and merging techniques are designed for managing the bank of grids.
Detail publikace
| Název: | Multigrid design in point-mass approach to nonlinear state estimation |
|---|---|
| Autor: | Šimandl, M. ; Královec, J. |
| Jazyk publikace: | anglicky |
| Datum vydání: | 27.8.2003 |
| Rok vydání: | 2003 |
| Typ publikace: | Stať ve sborníku |
| Název časopisu / knihy: | 13th IFAC Symposium on System Identification |
| Strana: | 1731 - 1736 |
| Nakladatel: | OMNIPRESS |
| Místo vydání: | Rotterdam |
| Datum: | 27.8.2003 - 29.8.2003 |
Klíčová slova
stochastic systems, state estimation, nonlinear filters, probability density function, estimation algorithms
BibTeX
@INPROCEEDINGS{SimandlM_2003_Multigriddesignin,
author = {\v{S}imandl, M. and Kr\'{a}lovec, J.},
title = {Multigrid design in point-mass approach to nonlinear state estimation},
year = {2003},
publisher = {OMNIPRESS},
journal = {13th IFAC Symposium on System Identification},
address = {Rotterdam},
pages = {1731-1736},
url = {http://www.kky.zcu.cz/en/publications/SimandlM_2003_Multigriddesignin},
}