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• W3124609903 abstract "Abstract In this study, the problem of multi-switching synchronization of the chaotic systems (CSs) with fractional-order dynamics is considered. Unlike to the most studies, the dynamics of slave chaotic systems are unknown and also the master systems are not fixed but are switched between several synchronization modes. A general type-2 (GT2) fuzzy neural network (FNN) is proposed to approximate the unknown nonlinearities. The stability and robustness is investigated by the Lyapunov theorem and the fractional-order adaptation laws are obtained to optimize the rules of GT2FNNs. The robustness of the proposed scheme against approximation errors and variation of synchronization modes is guaranteed by the proposed compensators. The good performance of schemed method is demonstrated by several simulations and comparison with recent presented control techniques." @default.
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• W3124609903 date "2021-04-01" @default.
• W3124609903 modified "2023-10-14" @default.
• W3124609903 title "General type-2 fuzzy multi-switching synchronization of fractional-order chaotic systems" @default.
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• W3124609903 doi "https://doi.org/10.1016/j.engappai.2021.104163" @default.
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