Cluster synchronization of nonlinearly coupled neural networks with hybrid time-varying delays and stochastic perturbations via pinning control

被引：1

作者：

Wu, Xuefei ^{[1
]}

Xu, Chen ^{[2
]}

机构：

[1] School of Computer Engineering Shenzhen Polytechnic, College of Information Engineering, Shenzhen University

[2] College of Mathematics and Computational Sciences, Shenzhen University

来源：

Journal of Convergence Information Technology | 2012年 / 7卷 / 06期

关键词：

Cluster synchronization; Hybrid time-varying delay; Neural networks; Nonlinearly coupled; Pinning control; Stochastic perturbations;

D O I：

10.4156/jcit.vol7.issue6.13

中图分类号：

学科分类号：

摘要：

In this paper, cluster synchronization in an array of nonlinearly coupled networks with hybrid timevarying delays is investigated. With the aid of Lyapunov stability theories and several classical inequalities, some sufficient conditions are derived to guarantee that the stochastic synchronization can be achieved. Eventually, a specific example is employed to illustrate the theoretical results.

引用

页码：101 / 111

页数：10

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