Finite-time stability of a class of fuzzy cellular neural networks with multi-proportional delays

被引：66
作者：
Jia, Renwei [1 ]
机构：
[1] Hunan Univ Arts & Sci, Coll Math & Comp Sci, Changde 415000, Hunan, Peoples R China
来源：
FUZZY SETS AND SYSTEMS | 2017年 / 319卷
关键词：
Fuzzy cellular neural networks; Finite-time stability; Proportional delay; GLOBAL EXPONENTIAL STABILITY; ASYMPTOTIC STABILITY; CRITERIA; STABILIZATION; CNNS;
D O I：
10.1016/j.fss.2017.01.003
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
This paper is concerned with finite-time stability for a class of fuzzy cellular neural networks with multi-proportional delays. Based on the finite-time stability theory, we establish a novel result to ensure the finite-time stability of the addressed system by employing the differential inequality techniques. We also use numerical simulations to demonstrate our theoretical result. (C) 2017 Published by Elsevier B.V.
引用
收藏
页码：70 / 80
页数：11
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