Enhancing synchronization criteria for fractional-order chaotic neural networks via intermittent control: an extended dissipativity approach

Enhancing synchronization criteria for fractional-order chaotic neural networks via intermittent control: an extended dissipativity approach

In this paper, a recurrent intermittent control (RIC) for the synchronization of fractional-order chaotic neural networks (FOCNNs) is proposed in view of the extended dissipativity-based approach. Successively, standard linear matrix inequalites (LMIs)-based extended dissipative criteria are derived...

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Bibliographic Details
Main Authors: Saravanan Shanmugam, R. Vadivel, S. Sabarathinam, P. Hammachukiattikul, Nallappan Gunasekaran
Format: Article
Language:English
Published: AIMS Press 2025-03-01
Series:Mathematical Modelling and Control
Subjects:
extended dissipativity
fractional-order neural networks
linear matrix inequality
intermittent control
synchronization
Online Access:https://www.aimspress.com/article/doi/10.3934/mmc.2025003
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