Exponential synchronization of fuzzy cellular neural networks with mixed delays and general boundary conditions

被引：16

作者：

Yan, Ping ^{[2
]}

Lv, Teng ^{[1
]}

机构：

[1] Artillery Acad, Teaching & Res Sect Comp, Hefei 230031, Peoples R China

[2] Anhui Agr Univ, Sch Sci, Hefei 230036, Peoples R China

来源：

COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION | 2012年 / 17卷 / 02期

关键词：

Exponential synchronization; Fuzzy cellular neural networks; Reaction diffusion term; Lyapunov functional; STABILITY;

D O I：

10.1016/j.cnsns.2011.07.013

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

In this paper, we study exponential synchronization of delayed reaction-diffusion fuzzy cellular neural networks with general boundary conditions. By using Sobolev inequality techniques and constructing suitable Lyapunov functional, some sufficient conditions are given to ensure the exponential synchronization of the drive-response delayed fuzzy cellular neural networks with general boundary conditions. Finally, an example is given to verify the theoretical analysis. (C) 2011 Elsevier B.V. All rights reserved.

引用

页码：1003 / 1011

页数：9

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