Existence and stability of almost-periodic solutions for cellular neural networks with time-varying delays in leakage terms on time scales

被引：61

作者：

Gao, Jin ^{[1
]}

Wang, Qi-Ru ^{[1
]}

Zhang, Liu-Wei ^{[2
]}

机构：

[1] Sun Yat Sen Univ, Sch Math & Computat Sci, Guangzhou 510275, Guangdong, Peoples R China

[2] Sun Yat Sen Univ, Sino French Inst Nucl Engn & Technol, Zhuhai 519082, Peoples R China

来源：

APPLIED MATHEMATICS AND COMPUTATION | 2014年 / 237卷

关键词：

Cellular neural networks on time scales; Delays; Almost-periodic solutions; Global exponential stability; SYNCHRONIZATION TRANSITIONS; EXPONENTIAL STABILITY; COHERENCE; RESONANCE;

D O I：

10.1016/j.amc.2014.03.051

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

This paper is concerned with cellular neural networks with time-varying delays in leakage terms on time scales. Some sufficient conditions on the existence, uniqueness, and global exponential stability of almost-periodic solutions are established. An example is presented to illustrate the feasibility and effectiveness of the obtained results. (C) 2014 Elsevier Inc. All rights reserved.

引用

页码：639 / 649

页数：11

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