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• W2143967599 abstract "This paper is concerned with the problem of ℓ2-ℓ∞ filtering for discrete-time Takagi-Sugeno (T-S) fuzzy systems with stochastic perturbation. Firstly, a basis-dependent existence condition of desirable ℓ2-ℓ∞ filters is proposed. Then by means of the convex linearisation technique, the derived condition is transformed into some strict linear matrix inequality (LMI) constraints, by which both full- and reduced-order filters can be designed. Moreover, for the reduced-order ℓ2-ℓ∞ filter design, a novel analysis and design method with the projection lemma is also provided. Finally, a numerical example is provided to illustrate the feasibility and effectiveness of the proposed full- and reduced-order ℓ2-ℓ∞ filter design methods." @default.
• W2143967599 created "2016-06-24" @default.
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• W2143967599 date "2013-03-04" @default.
• W2143967599 modified "2023-10-03" @default.
• W2143967599 title "Reduced-order ℓ₂-ℓ_∞filtering for discrete-time T-S fuzzy systems with stochastic perturbation" @default.
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• W2143967599 doi "https://doi.org/10.1080/00207721.2013.775393" @default.
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