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Citation

Flídr, M. and Duník, J. and Straka, O. and Švácha, J. and Šimandl, M. : Framework for implementing and testing nonlinear filters . Preprints of the 7th IFAC Symposium on advances in control education, p. 1-6, IFAC, Madrid, 2006.

Abstract

The aim of this paper is to present a software framework facilitating implementation, testing and use of various nonlinear estimation methods. This framework is designed to offer an easy to use tool for state estimation of discrete time dynamic stochastic systems. Besides implementation of various local and global state estimation methods it contains procedures for system design and simulation. Its strength is in the fact that it provides means that help students get acquainted with nonlinear state estimation problem and to be able to test features of various estimation methods. Another considerable advantage of proposed framework is its high modularity and extensibility.

Detail of publication

Title: Framework for implementing and testing nonlinear filters
Author: Flídr, M. ; Duník, J. ; Straka, O. ; Švácha, J. ; Šimandl, M.
Language: English
Date of publication: 21 Jun 2006
Year: 2006
Type of publication: Papers in proceedings of reviewed conferences
Title of journal or book: Preprints of the 7th IFAC Symposium on advances in control education
Page: 1 - 6
Publisher: IFAC
Address: Madrid
Date: 21 Jun 2006 - 23 Jun 2006
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Keywords

stochastic systems, nonlinear state, parameter estimation, Bayesian recursive relations, nonlinear filters, software framework.

BibTeX

@INPROCEEDINGS{FlidrM_2006_Frameworkfor,
 author = {Fl\'{i}dr, M. and Dun\'{i}k, J. and Straka, O. and \v{S}v\'{a}cha, J. and \v{S}imandl, M.},
 title = {Framework for implementing and testing nonlinear filters},
 year = {2006},
 publisher = {IFAC},
 journal = {Preprints of the 7th IFAC Symposium on advances in control education},
 address = {Madrid},
 pages = {1-6},
 url = {http://www.kky.zcu.cz/en/publications/FlidrM_2006_Frameworkfor},
}