Synchronization of coupled neural networks with time-varying delay

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• 作者：Jin ZhangAuthor Vitae ; Yanbo Gao ; ^{gao.yb@ntu.edu.cn}Author Vitae
• 关键词：Coupled neural networks (CNNs) ; Time-varying delay ; Synchronization
• 刊名：Neurocomputing
• 出版年：2017
• 出版时间：5 January 2017
• 年：2017
• 卷：219
• 期：Complete
• 页码：154-162
• 全文大小：789 K
• 卷排序：219

文摘

This paper addresses the synchronization problem for a class of neural networks with time-varying delay and hybrid couplings. By using a Lyapunov–Krasovskii functional (LKF) containing a triple integral term, applying the theory of Kronecker product of matrices, the Wirtinger-based inequality, the method of reciprocally convex combination and the technique of linear matrix inequality (LMI) to estimate the derivative of the LKF, the delay-dependent synchronization criteria in terms of LMIs are newly obtained. And a numerical example is given to illustrate the effectiveness of proposed results.