Exponential Synchronization of Complex Delayed Dynamical Networks with Uncertain Parameters via Intermittent Control

被引：3

作者：

Zhao, Haoran ^{[1
]}

Cai, Guoliang ^{[1
]}

机构：

[1] Jiangsu Univ, Nonlinear Sci Res Ctr, Zhenjiang 212013, Peoples R China

来源：

ADVANCES IN NEURAL NETWORKS - ISNN 2015 | 2015年 / 9377卷

关键词：

exponential synchronization; intermittent control; time-varying delay; uncertain parameters; complex dynamical networks; IMPULSIVE SYNCHRONIZATION; NEURAL-NETWORKS;

D O I：

10.1007/978-3-319-25393-0_11

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, intermittent control scheme is adopted to investigate the exponential synchronization of complex delayed dynamical networks with uncertain parameters. Based on Lyapunov function method and mathematical analysis technique, some novel and useful criteria for exponential synchronization are established. Finally, two numerical simulations are given to illustrate the effectiveness and correctness of the derived theoretical results.

引用

页码：91 / 98

页数：8

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