Synchronization of coupled neural networks with time-varying delay

被引：53

作者：

Zhang, Jin ^{[1
]}

Gao, Yanbo ^{[1
]}

机构：

[1] Nantong Univ, Sch Sci, Nantong 226019, Jiangsu, Peoples R China

来源：

NEUROCOMPUTING | 2017年 / 219卷

基金：

中国国家自然科学基金;

关键词：

Coupled neural networks (CNNs); Time-varying delay; Synchronization; COMPLEX DYNAMICAL NETWORKS; GLOBAL SYNCHRONIZATION; ROBUST SYNCHRONIZATION; ARRAY; DISCRETE; LEAKAGE;

D O I：

10.1016/j.neucom.2016.09.004

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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. (C) 2016 Elsevier B.V. All rights reserved.

引用

页码：154 / 162

页数：9

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