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Machine Intelligence Research

Erschienen in:

01.08.2013

Robust H_∞ Filter Design for Time-delay Systems with Saturation

verfasst von: Xiao-Fang Hong, Yu-Zhen Wang, Hai-Tao Li

Erschienen in: Machine Intelligence Research | Ausgabe 4/2013

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Abstract

This paper investigates the H _∞ filtering problem for a class of linear continuous-time systems with both time delay and saturation. Such systems have time delay in their state equations and saturation in their output equations, and their process and measurement noises have unknown statistical characteristics and bounded energies. Based on the Lyapunov-Krasovskii stability theorem and the linear matrix inequalities (LMIs) technique, a generalized dynamic filter architecture is proposed, and a filter design method is developed. The linear H _∞ filter designed by the method can guarantee the H _∞ performance. The parameters of the designed filter can be obtained by solving a kind of LMI. An illustrative example shows that the design method proposed in this paper is very effective.

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[22]

Titel: Robust H∞ Filter Design for Time-delay Systems with Saturation
verfasst von: Xiao-Fang Hong
Yu-Zhen Wang
Hai-Tao Li
Publikationsdatum: 01.08.2013
Verlag: Springer-Verlag
Erschienen in: Machine Intelligence Research / Ausgabe 4/2013
Print ISSN: 2731-538X
Elektronische ISSN: 2731-5398
DOI: https://doi.org/10.1007/s11633-013-0733-x

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