Stability Analysis of Fuzzy Cellular Neural Networks with Time-Varying Delays and Impulses

被引：0

作者：

Li, Kelin

Song, Qiankun ^{[1
]}

机构：

[1] Chongqing Jiaotong Univ, Dept Math, Chongqing 400074, Peoples R China

来源：

INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY | 2006年 / 6卷 / 7A期

关键词：

Fuzzy cellular neural networks; delays; impulses; global exponential stability;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, a generalized model of fuzzy cellular neural networks (FCNN) with time-varying delays and impulses is investigated. By employing the delay differential inequality with impulses initial conditions and using the properties of M-cone and eigenspace of the spectral radius of nonnegative matrices, some sufficient conditions for global exponential stability of FCNN with time-varying delays and impulses are obtained. An example is given to show the effectiveness of the obtained results.

引用

页码：108 / 116

页数：9

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