Existence and Exponential Stability of Equilibrium Point for Fuzzy BAM Neural Networks with Infinitely Distributed Delays and Impulses on Time Scales

被引：0

作者：

Li, Yongkun ^{[1
]}

Sun, Lijie ^{[1
]}

Yang, Li ^{[1
]}

机构：

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

来源：

JOURNAL OF APPLIED MATHEMATICS | 2014年

关键词：

ALMOST-PERIODIC SOLUTION; ASYMPTOTIC STABILITY; BOUNDARY-CONDITIONS; VARIABLE DELAYS; DISCRETE; CRITERION;

D O I：

10.1155/2014/721586

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

By using the fixed point theorem and constructing a Lyapunov functional, we establish some sufficient conditions on the existence, uniqueness, and exponential stability of equilibrium point for a class of fuzzy BAM neural networks with infinitely distributed delays and impulses on time scales. We also present a numerical example to show the feasibility of obtained results. Our example also shows that the described time and continuous neural time networks have the same dynamic behaviours for the stability.

引用

页数：17

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