Existence and globally exponential stability of equilibrium for fuzzy BAM neural networks with distributed delays and impulse

被引：0
|
作者：
Qianhong Zhang
Lihui Yang
Daixi Liao
机构：
[1] Guizhou College of Finance and Economics,Guizhou Key Laboratory of Economic System Simulation
[2] Guizhou College of Finance and Economics,School of Mathematics and Statistics
[3] Hunan City University,Department of Mathematics
[4] Hunan Institute of Technology,Basic Science Department
来源：
Advances in Difference Equations | / 2011卷
关键词：
Fuzzy BAM neural networks; Equilibrium point; Globally exponential stability; Distributed delays; Impulse;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this article, fuzzy bi-directional associative memory neural networks with distributed delays and impulses are considered. Some sufficient conditions for the existence and globally exponential stability of unique equilibrium point are established using fixed point theorem and differential inequality techniques. The results obtained are easily checked to guarantee the existence, uniqueness, and globally exponential stability of equilibrium point.
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