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New Adaptive Finite-Time Cluster Synchronization of Neutral-Type Complex-Valued Coupled Neural Networks with Mixed Time Delays
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posted on 2023-02-20, 05:16 authored by N Boonsatit, S Rajendran, Chee Peng LimChee Peng Lim, A Jirawattanapanit, P MohandasThe issue of adaptive finite-time cluster synchronization corresponding to neutral-type coupled complex-valued neural networks with mixed delays is examined in this research. A neutral-type coupled complex-valued neural network with mixed delays is more general than that of a traditional neural network, since it considers distributed delays, state delays and coupling delays. In this research, a new adaptive control technique is developed to synchronize neutral-type coupled complex-valued neural networks with mixed delays in finite time. To stabilize the resulting closed-loop system, the Lyapunov stability argument is leveraged to infer the necessary requirements on the control factors. The effectiveness of the proposed method is illustrated through simulation studies.
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Fractal and FractionalVolume
6Article number
ARTN 515Publisher DOI
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2504-3110eISSN
2504-3110Language
EnglishPublication classification
C1 Refereed article in a scholarly journalIssue
9Publisher
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