Synchronization of Coupled Memristor Neural Networks with Time Delay: Positive Effects of Stochastic Delayed Impulses

被引：6
|
作者：
Li, Lulu [1 ]
Sun, Yifan [1 ]
Wang, Mengmeng [1 ]
Huang, Wei [1 ]
机构：
[1] Hefei Univ Technol, Sch Math, Hefei 230009, Peoples R China
来源：
NEURAL PROCESSING LETTERS | 2021年 / 53卷 / 06期
基金：
中国国家自然科学基金;
关键词：
Memristor neural networks; Exponential synchronization; Average impulsive interval; Stochastic delayed impulse; DIFFERENTIAL-EQUATIONS; STABILITY ANALYSIS; CRITERIA; SYSTEMS;
D O I：
10.1007/s11063-021-10600-z
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper mainly investigates the positive effects of delay-dependent impulses on the synchronization of delayed memristor neural networks. Different from traditional impulsive control, the impulsive sequence in this paper is assumed to have the Markovian property, and is not always stabilizing. Based on a useful inequality, mean square synchronization criterion is derived under such a kind of impulsive effect. It can be seen that the stochastic impulses play an impulsive controller role, if they are stabilizing in an "average" sense. The validity of the theoretical results is illustrated by a numerical example.
引用
收藏
页码：4349 / 4364
页数：16
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