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New Results on Almost Periodic Solution of Shunting Inhibitory Cellular Neural Networks with Continuously Distributed Delays

Jing Liu Pei-Yong Zhu

中国电子科技2008，Vol.6Issue(1)：70-74,5.

New Results on Almost Periodic Solution of Shunting Inhibitory Cellular Neural Networks with Continuously Distributed Delays

Jing Liu ¹Pei-Yong Zhu¹

作者信息

1. School of Applied Mathematics, University of Electronic Science and Technology of China, Chengdu, 610054, China
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摘要

Abstract

In this paper, the existence, uniqueness and global attractivity are discussed on almost periodic solution of SICNNs (shunting inhibitory cellular neural networks) with continuously distributed delays. By using the fixed point theorem, differential inequality technique and Lyapunov functional method, giving the new ranges of parameters, several sufficient conditions are obtained to ensure the existence, uniqueness and global attractivity of almost periodic solution. Compared with the previous studies, our methods are more effective for almost periodic solution analysis of SICNNs with continuously distributed delays. Some existing results have been improved and extended. In order to show the effectiveness of the obtained results, an example is given in this paper.

关键词

Almost periodic solution, global attrac tivity, shunting inhibitory cellular neural networks

Key words

Almost periodic solution, global attrac tivity, shunting inhibitory cellular neural networks

分类

信息技术与安全科学

引用本文复制引用

Jing Liu,Pei-Yong Zhu..New Results on Almost Periodic Solution of Shunting Inhibitory Cellular Neural Networks with Continuously Distributed Delays[J].中国电子科技,2008,6(1):70-74,5.

中国电子科技

ISSN：1674-862X

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