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• W3171944638 endingPage "2486" @default.
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• W3171944638 abstract "In this article, the problem of the distributed <inline-formula xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink><tex-math notation=LaTeX>$H_infty$</tex-math></inline-formula> filtering in finite-time horizon is investigated for a class of Takagi–Sugeno (T-S) fuzzy systems with sensor saturation and unknown bounded noise. Considering the network bandwidth limitation, a dynamic event-triggered mechanism (ETM) is proposed. Due to an asynchronous problem of premise variables induced by the dynamic ETM, the partition approach is applied. Under the partition region, a novel piecewise T-S fuzzy distributed <inline-formula xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink><tex-math notation=LaTeX>$H_infty$</tex-math></inline-formula> filtering is derived. By constructing the Lyapunov function, sufficient conditions for the finite-time <inline-formula xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink><tex-math notation=LaTeX>$H_infty$</tex-math></inline-formula> performance of the estimation error system are given. Furthermore, to minimize the interference from disturbance to distributed filtering, the optimal problem of disturbance attenuate parameter <inline-formula xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink><tex-math notation=LaTeX>$gamma$</tex-math></inline-formula> is solved. Finally, a simulation example is presented to verify the effectiveness of the proposed algorithm." @default.
• W3171944638 created "2021-06-22" @default.
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• W3171944638 date "2022-07-01" @default.
• W3171944638 modified "2023-10-18" @default.
• W3171944638 title "Finite-Time Dynamic Event-Triggered Distributed $H_infty$ Filtering for T-S Fuzzy Systems" @default.
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• W3171944638 doi "https://doi.org/10.1109/tfuzz.2021.3086560" @default.
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