PERIODIC SOLUTIONS FOR A CLASS OF FUZZY BAM NEURAL NETWORKS WITH DISTRIBUTED DELAYS AND VARIABLE COEFFICIENTS

被引：8

作者：

Li, Yongkun ^{[1
]}

Yang, Li ^{[1
]}

Wu, Wanqin ^{[1
]}

机构：

[1] Yunnan Univ, Dept Math, Kunming 650091, Yunnan, Peoples R China

来源：

INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS | 2010年 / 20卷 / 05期

关键词：

BAM neural networks; exponential stability; periodic solutions; Brouwer fixed point theorem; distributed delays; GLOBAL EXPONENTIAL STABILITY; ASYMPTOTIC STABILITY; EXISTENCE;

D O I：

10.1142/S0218127410026708

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

In this paper, we consider a class of fuzzy BAM neural networks with distributed delays and variable coefficients. By using Brouwer fixed point theorem and differential inequality, we obtain some sufficient conditions for the existence and global exponential stability of periodic solutions for a class of fuzzy BAM neural networks with distributed delays and variable coefficients. In addition, we also present an illustrative example to show the effectiveness of obtained results.

引用

页码：1551 / 1565

页数：15

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