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Indexed by:期刊论文

Date of Publication:2009-09-01

Journal:ICIC-Express Letters

Included Journals:EI、Scopus

Volume:3

Issue:3

Page Number:739-745

Abstract:This paper is concerned with a fuzzy H   filtering problemfor nonlinear discrete-time stochastic systems with missing measurements. Thenonlinear plant is represented by the well-known Takagi-Sugeno fuzzy model. Themissing measurements will happen at any sample time and the probability of theoccurrence of missing data is assumed to be known. Attention is focused on thedesign of the H   filter such that the filtering error system isstochastically stable and preserves a guaranteed H   performance in terms of linear matrix inequality (LMI). A numerical example isprovided, to illustrate the feasibility of the proposed, design approach. ICIC International ? 2009.