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dc.contributor.authorYin, Y.
dc.contributor.authorShi, P.
dc.contributor.authorLiu, F.
dc.contributor.authorTeo, Kok Lay
dc.identifier.citationYin, Y. and Shi, P. and Liu, F. and Teo, K.L. 2013. Fuzzy model-based robust H∞ filtering for a class of nonlinear nonhomogeneous Markov jump systems. Signal Processing. 93 (9): pp. 2381-2391.

This paper studies the problem of robust fuzzy H∞ filtering for a class of uncertain nonlinear discrete-time Markov jump systems with nonhomogeneous jump transition probabilities. The Takagi and Sugeno fuzzy model is employed to represent such nonlinear nonhomogeneous Markov jump system with norm-bounded parameter uncertainties. By Lyapunov function approach, under the designed mode-dependent and variation-dependent fuzzy filter which includes the membership functions, a sufficient condition is presented to ensure that the filtering error dynamic system is stochastically stable and has a prescribed H∞ performance index. An example is given to demonstrate the effectiveness and advantages of the proposed techniques.

dc.publisherElsevier BV
dc.subjectUncertain nonlinear system
dc.subjectStochastically stable
dc.subjectFuzzy H∞ filtering
dc.subjectNonhomogeneous Markov jump systems
dc.titleFuzzy model-based robust H∞ filtering for a class of nonlinear nonhomogeneous Markov jump systems
dc.typeJournal Article
dcterms.source.titleSignal Processing
curtin.accessStatusFulltext not available

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