Passivity-based synchronization of a class of complex dynamical networks with time-varying delay

被引：203

作者：

Wang, Jin-Liang ^{[1
,2
]}

Wu, Huai-Ning ^{[2
]}

Huang, Tingwen ^{[3
]}

机构：

[1] Tianjin Polytech Univ, Sch Comp Sci & Software Engn, Tianjin 300387, Peoples R China

[2] Beihang Univ, Sch Automat Sci & Elect Engn, Sci & Technol Aircraft Control Lab, Beijing 100191, Peoples R China

[3] Texas A&M Univ Qatar, Doha 23874, Qatar

来源：

AUTOMATICA | 2015年 / 56卷

基金：

中国国家自然科学基金;

关键词：

Complex networks; Reaction-diffusion neural networks; Time-varying delay; Passivity; Synchronization; GLOBAL EXPONENTIAL STABILITY; REACTION-DIFFUSION TERMS; COUPLED NEURAL-NETWORKS; ADAPTIVE SYNCHRONIZATION; SYSTEMS; ARRAYS; DESIGN;

D O I：

10.1016/j.automatica.2015.03.027

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper proposes a complex delayed dynamical network consisting of N linearly and diffusively coupled identical reaction-diffusion neural networks. By utilizing some inequality techniques, a sufficient condition ensuring the output strict passivity is derived for the proposed network model. Then, we reveal the relationship between output strict passivity and synchronization of the proposed network model. Moreover, based on the obtained passivity result and the relationship between output strict passivity and synchronization, a criterion for synchronization is established. Finally, a numerical example is provided to illustrate the correctness and effectiveness of the proposed results. (C) 2015 Elsevier Ltd. All rights reserved.

引用

页码：105 / 112

页数：8

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