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

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 st...

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Bibliographic Details
Published in:Fuzzy sets and systems 2021-05, Vol.411, p.48-67
Main Authors: Aouiti, Chaouki, Hui, Qing, Jallouli, Hediene, Moulay, Emmanuel
Format: Article
Language:English
Subjects:
Fixed-time stability
Fuzzy neural networks
Inertial neural networks
Mathematics
Optimization and Control
Time-varying delay
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Summary: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.
ISSN:0165-0114
1872-6801
DOI:10.1016/j.fss.2020.10.018