Synthesis of a robust H∞ fuzzy filter foruncertain nonlinear dynamical systems

Conference proceedings article

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Publication Details

Author list: Assawinchaichote W., Nguang S.K.

Publisher: Hindawi

Publication year: 2010

Volume number: 5

Start page: V561

End page: V565

ISBN: 9781424463688

ISSN: 0146-9428

eISSN: 1745-4557

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-77956082497&doi=10.1109%2fICETC.2010.5529946&partnerID=40&md5=b0ef856e97b2bf42a950c76cbcdafc8c

Languages: English-Great Britain (EN-GB)

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Abstract

This paper considers the problem of designing a robust fuzzy filter for a TS fuzzy system with parametric uncertainties that the guarantees the L2-gain from an exogenous input to an estimate error output being less than or equal to a prescribed value. Sufficient conditions for the existence of the Boo fuzzy filter are given in terms of a set of LMIs. In this paper, the premise variables of the Boo fuzzy filter are allowed to be different from the premise variables of the TS fuzzy model of the plant such that the results are shown into two cases which are the premise variable of the fuzzy model be measurable and the premise variable assumed to be unmeasurable. ฉ 2010 IEEE.

Keywords

Fuzzy filtering, Fuzzy systems, LMIs, Lyapunov function