STABILITY ANALYSIS FOR NEUTRAL-TYPE IMPULSIVE NEURAL NETWORKS WITH DELAYS

被引：3
|
作者：
Du, Bo [1 ]
Liu, Yurong [2 ]
Cao, Dan [1 ]
机构：
[1] Huaiyin Normal Univ, Dept Math, Huaian 223300, Jiangsu, Peoples R China
[2] Yangzhou Univ, Dept Math, Yangzhou 225002, Jiangsu, Peoples R China
来源：
KYBERNETIKA | 2017年 / 53卷 / 03期
关键词：
neutral-type; neural networks; Lyapunov functional method; stability; GLOBAL ASYMPTOTIC STABILITY; TIME-VARYING DELAYS; FUNCTIONAL-DIFFERENTIAL EQUATIONS; DISTRIBUTED DELAYS; EXPONENTIAL STABILITY; VARIABLE TIMES; OPTIMIZATION; DISCRETE; SYSTEMS; EXISTENCE;
D O I：
10.14736/kyb-2017-3-0513
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
By using linear matrix inequality (LMI) approach and Lyapunov functional method, we obtain some new sufficient conditions ensuring global asymptotic stability and global exponential stability of a generalized neutral-type impulsive neural networks with delays. A simulation example is provided to demonstrate the usefulness of the main results obtained. The main contribution in this paper is that a new neutral-type impulsive neural networks with variable delays is studied by constructing a novel Lyapunov functional and LMI approach.
引用
收藏
页码：513 / 529
页数：17
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