Anti-periodic solutions in a ring of four neurons with multiple delays

被引：13

作者：

Xu, Changjin ^{[1
]}

Zhang, Qiming ^{[2
]}

机构：

[1] Guizhou Univ Finance & Econ, Guizhou Key Lab Econ Syst Simulat, Guiyang 550004, Peoples R China

[2] Hunan Univ Technol, Coll Sci, Zhuzhou 412007, Peoples R China

来源：

INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS | 2015年 / 92卷 / 05期

基金：

中国国家自然科学基金;

关键词：

delay; anti-periodic solution; ring network; Lyapunov method; exponential stability; 34K25; 34K13; 34C25; BAM NEURAL-NETWORKS; TIME-VARYING DELAYS; GLOBAL EXPONENTIAL STABILITY; ASYMPTOTIC STABILITY; DISTRIBUTED DELAYS; LEAKAGE TERMS; NEUTRAL TYPE; EXISTENCE; IMPULSES; SCALES;

D O I：

10.1080/00207160.2014.927058

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

This paper is concerned with the existence and exponential stability of anti-periodic solutions of bidirectional associative memory (BAM) neural networks with multiple delays. Applying inequality techniques and Lyapunov method, Sufficient conditions which ensure the existence and exponential stability of anti-periodic solutions of the BAM neural networks are presented. Our results are new and supplement some previously known ones.

引用

页码：1086 / 1100

页数：15

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