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Article Dans Une Revue Fuzzy Sets and Systems Année : 2021

Fixed-time stabilization of fuzzy neutral-type inertial neural networks with time-varying delay

Résumé

This paper addresses the problem of fixed-time stabilization for a class of fuzzy neutral-type inertial neural networks (FNTINNs) with time-varying delay. By using a novel fixed-time stability theorem for dynamical systems, two different feedback control laws are designed to ensure the fixed-time stabilization of FNTINNs with time-varying delay. The proposed theoretical results can lead to a better upper settling-time estimation compared to existing results. Finally, three simulation examples are provided to illustrate the validity of the proposed theoretical results.
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Dates et versions

hal-03179755 , version 1 (24-03-2021)

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Chaouki Aouiti, Qing Hui, Hediene Jallouli, Emmanuel Moulay. Fixed-time stabilization of fuzzy neutral-type inertial neural networks with time-varying delay. Fuzzy Sets and Systems, 2021, 411, pp.48-67. ⟨10.1016/j.fss.2020.10.018⟩. ⟨hal-03179755⟩
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