Existence of Anti-Periodic Solution for Delayed Cellular Neural Networks with Impulsive Effects

被引：1

作者：

Zhang, Linli ^{[1
]}

Fan, Ruili ^{[2
]}

Liu, Anping ^{[2
]}

Yang, Weifang ^{[1
]}

机构：

[1] Haikou Coll Econ, Dept Basic Course, Haikou 570203, Peoples R China

[2] China Univ Geosci, Sch Math & Phys, Wuhan 430074, Peoples R China

来源：

APPLIED MECHANICS AND MATERIALS II, PTS 1 AND 2 | 2014年 / 477-478卷

关键词：

cellular neural networks; iterative analysis; impulsive effects; delay; anti-periodic solution; existence; uniqueness; STABILITY;

D O I：

10.4028/www.scientific.net/AMM.477-478.1499

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

As an important tool to study practical problems of biology, engineering and image processing, the cellular neural networks (CNNs) has caused more and more attention. Some interesting results about the existence of solution for cellular neural networks have been obtained. In this paper, by means of iterative analysis, the existence and uniqueness of anti-periodic solution of delayed cellular neural networks with impulsive effects are considered. Some new results are obtained.

引用

页码：1499 / +

页数：2

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