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Citation

Šimandl, M. and Královec, J. : Multigrid design in point-mass approach to nonlinear state estimation . System identification, 1, p. 1693-1698, Elsevier Ltd., Oxford, 2004.

Abstract

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 of publication

Title: Multigrid design in point-mass approach to nonlinear state estimation
Author: Šimandl, M. ; Královec, J.
Language: English
Date of publication: 27 Aug 2003
Year: 2004
Type of publication: Papers in proceedings of reviewed conferences
Title of journal or book: System identification
Edition: 1
Page: 1693 - 1698
ISBN: 0-08043709 5
Publisher: Elsevier Ltd.
Address: Oxford
Date: 27 Aug 2003 - 29 Aug 2003
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Keywords

stochastic systems, state estimation, nonlinear filters, probability density function, estimation algorithms

BibTeX

@INPROCEEDINGS{SimandlM_2004_Multigriddesignin_1,
 author = {\v{S}imandl, M. and Kr\'{a}lovec, J.},
 title = {Multigrid design in point-mass approach to nonlinear state estimation},
 year = {2004},
 publisher = {Elsevier Ltd.},
 journal = {System identification},
 address = {Oxford},
 pages = {1693-1698},
 ISBN = {0-08043709 5},
 url = {http://www.kky.zcu.cz/en/publications/SimandlM_2004_Multigriddesignin_1},
}