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• W3007432408 abstract "This article concentrates on the nonstationary control for a class of nonlinear Markovian switching systems (MSSs) with the Tagaki-Sugeno (T-S) fuzzy model. By adopting variable quantization density, a more general type of T-S fuzzy MSSs is established, in which the varies performance demands can be satisfied in a more flexible way. The major benefit of the developed method lies that a multiple hierarchical structure strategy is developed concerning nonsynchronization among the original system, controller, and quantizer, which covers the reported asynchronous/synchronous mechanisms as special cases. On the basis of fuzzy-basis-dependent and mode-dependent Lyapunov function, some sufficient conditions are derived and controller gains are designed. Finally, the feasibility of the achieved result is verified by a practical example." @default.
• W3007432408 created "2020-03-06" @default.
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• W3007432408 date "2021-06-01" @default.
• W3007432408 modified "2023-10-11" @default.
• W3007432408 title "Nonstationary Control for T–S Fuzzy Markovian Switching Systems With Variable Quantization Density" @default.
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• W3007432408 doi "https://doi.org/10.1109/tfuzz.2020.2974440" @default.
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