Dynamical analysis of fuzzy cellular neural networks with time-varying delays

被引：1

作者：

Zhang, Qianhong ^{[1
]}

Yang, Lihui ^{[2
]}

Liao, Daixi ^{[3
]}

机构：

[1] Guizhou Coll Finance & Econ, Guizhou Key Lab Econ Syst Simulat, Guiyang 550004, Guizhou, Peoples R China

[2] Hunan City Univ, Dept Math, Yiyang 413000, Hunan, Peoples R China

[3] Hunan Inst Technol, Dept Basic Sci, Hengyang 421002, Hunan, Peoples R China

来源：

JOURNAL OF COMPUTERS | 2012年 / 7卷 / 04期

关键词：

fuzzy cellular neural networks; periodic solution; global exponential stability; time-varying delays;

D O I：

10.4304/jcp.7.4.934-940

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In this paper, employing continuation theorem of the coincidence degree, and inequality technique, some sufficient conditions are derived to ensure global exponential stability and the existence of periodic solution for fuzzy cellular neural networks with time-varying delays. These results have important leading significance in the design and applications of globally stable neural networks. Moreover an example is given to illustrate the effectiveness and feasibility of results obtained.

引用

页码：934 / 940

页数：7

共 36 条

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