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论文类型：期刊论文

发表时间：2009-09-01

发表刊物：ICIC-Express Letters

收录刊物：EI、Scopus

卷号：3

期号：3

页面范围：739-745

摘要：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.