Linear matrix inequality approach for synchronization of chaotic fuzzy cellular neural networks with discrete and unbounded distributed delays based on\ sampled-data control
Publish place: Iranian Journal of Fuzzy Systems، Vol: 12، Issue: 5
Publish Year: 1394
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_IJFS-12-5_004
تاریخ نمایه سازی: 28 خرداد 1401
Abstract:
In this paper, linear matrix inequality (LMI) approach for synchronization of chaotic fuzzy cellular neural networks (FCNNs) with discrete and unbounded distributed delays based on sampled-data controlis investigated. Lyapunov-Krasovskii functional combining with the input delay approach as well as the free-weighting matrix approach are employed to derive several sufficient criteria in terms of LMIs ensuring the delayed FCNNs to be asymptotically synchronous. The restriction such as the time-varying delay required to be differentiable or even its time-derivative assumed to be smaller than one, are removed. Instead, the time-varying delay is only assumed to be bounded. Finally, numerical examples and its simulations are provided to demonstrate the effectiveness of the derived results.
Keywords:
Chaos , Fuzzy cellular neural networks , Linear matrix inequality , Sampled-data control , Synchronization
Authors
P. Balasubramaniam-pour
Department of Mathematics, Gandhigram Rural Institute - Deemed University, Gandhigram - ۶۲۴ ۳۰۲, Tamilnadu, India
K. Ratnavelu
Institute of Mathematical Sciences, Faculty of Science, University of Malaya - ۵۰۶۰۳, Kuala Lumpur, Malaysia
M. Kalpana
Institute of Mathematical Sciences, Faculty of Science, University of Malaya - ۵۰۶۰۳, Kuala Lumpur, Malaysia
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