FuzzyH∞filtering for nonlinear Markovian jump neutral systems
- 1 May 2011
- journal article
- research article
- Published by Taylor & Francis Ltd in International Journal of Systems Science
- Vol. 42 (5), 767-780
- https://doi.org/10.1080/00207721003790351
Abstract
This article is concerned with the problem of H ∞ filter design for nonlinear Markovian jump neutral systems through the Takagi–Sugeno fuzzy model approach. By using a novel Markovian switched Lyapunov functional, a delay-dependent bounded real lemma (BRL) is presented in terms of linear matrix inequalities. Based on the derived BRL, both normal H ∞ filters and non-fragile H ∞ filters are designed, which guarantee that the corresponding filtering error systems are stochastically stable with a specified H ∞ performance level. A numerical example is given to demonstrate the effectiveness of the proposed approach.Keywords
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