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Citation
: Design of derivative-free smoothers and predictors . Preprints of the 14th IFAC Symposium on System Identification, p. 1-6, IFAC, Newcastle, 2006.
Abstract
Local state estimation approaches for nonlinear stochastic systems are treated. The unscented transformation and the Stirling's polynomial interpolation, used in the design of the derivative-free Kalman filters, are briefly discussed. These approximation techniques are exploited to the design of the derivative-free smoothers and predictors. Some aspects of the different types of the derivative-free smoothers are analysed. The estimation qualities of the proposed estimators are illustrated in a numerical example.
Detail of publication
| Title: | Design of derivative-free smoothers and predictors |
|---|---|
| Author: | Šimandl, M. ; Duník, J. |
| Language: | English |
| Date of publication: | 29 Mar 2006 |
| Year: | 2006 |
| Type of publication: | Papers in proceedings of reviewed conferences |
| Title of journal or book: | Preprints of the 14th IFAC Symposium on System Identification |
| Page: | 1 - 6 |
| Publisher: | IFAC |
| Address: | Newcastle |
| Date: | 29 Mar 2006 - 31 Mar 2006 |
Keywords
stochastic systems, nonlinear systems, state estimation, Kalman filtering, estimation theory
BibTeX
@INPROCEEDINGS{SimandlM_2006_Designof,
author = {\v{S}imandl, M. and Dun\'{i}k, J.},
title = {Design of derivative-free smoothers and predictors},
year = {2006},
publisher = {IFAC},
journal = {Preprints of the 14th IFAC Symposium on System Identification},
address = {Newcastle},
pages = {1-6},
url = {http://www.kky.zcu.cz/en/publications/SimandlM_2006_Designof},
}