Pseudo almost periodic solutions for CNNs with leakage delays and complex deviating arguments

被引：0

作者：

Bingwen Liu

Cemil Tunç

机构：

[1] Hunan University of Arts and Science,College of Mathematics and Computer Science

[2] Yüzüncü Yıl University,Department of Mathematics, Faculty and Sciences

来源：

Neural Computing and Applications | 2015年 / 26卷

关键词：

Cellular neural networks; Pseudo almost periodic solution; Existence; Leakage delay; Complex deviating argument;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

In this paper, cellular neural networks with leakage delays and complex deviating arguments are considered. Some criteria are established for the existence of pseudo almost periodic solutions for this model by using the exponential dichotomy theory, contraction mapping fixed point theorem and inequality analysis technique. The results of this paper are new and complement previously known results.

引用

页码：429 / 435

页数：6

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