Existence and stability analysis of discrete-time fuzzy BAM neural networks with delays and impulses

被引：0

作者：

Wang, Chao ^{[1
]}

Li, Yongkun ^{[1
]}

机构：

[1] Department of Mathematics, Yunnan University, Kunming, Yunnan 650091, China

来源：

International Journal of Computational and Mathematical Sciences | 2012年 / 6卷 / 01期

关键词：

Stability - Fuzzy neural networks;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

In this paper, the discrete-time fuzzy BAM neural network with delays and impulses is studied. Sufficient conditions are obtained for the existence and global stability of a unique equilibrium of this class of fuzzy BAM neural networks with Lipschitzian activation functions without assuming their boundedness, monotonicity or differentiability and subjected to impulsive state displacements at fixed instants of time. Some numerical examples are given to demonstrate the effectiveness of the obtained results.

引用

页码：47 / 56