Existence of an exponential periodic attractor of periodic solutions for general BAM neural networks with time-varying delays and impulses

被引：16

作者：

Yang, Wengui ^{[1
]}

机构：

[1] Minist Publ Educ, Sanmenxia Polytech, Sanmenxia 472000, Peoples R China

来源：

APPLIED MATHEMATICS AND COMPUTATION | 2012年 / 219卷 / 02期

关键词：

BAM neural networks; Exponential periodic attractor; Time-varying delays; Impulses; DISTRIBUTED DELAYS; STABILITY-CRITERION; VARIABLE-COEFFICIENTS; ASYMPTOTIC STABILITY;

D O I：

10.1016/j.amc.2012.06.044

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

By applying inequality analysis technique, constructing a suitable Lyapunov functional and combing the continuation theorem due to Mawhin and Gaines, some novel sufficient conditions are obtained to ensure the existence of an exponential periodic attractor of periodic solutions for general neural networks with time-varying (including bounded and unbounded) delays and impulses. An example is employed to illustrate our feasible results. (C) 2012 Elsevier Inc. All rights reserved.

引用

页码：569 / 582

页数：14

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