Passivity and synchronization of coupled reaction-diffusion neural networks with multiple time-varying delays via impulsive control

被引：28
|
作者：
Tang, Hong-An [1 ,3 ,4 ]
Duan, Shukai [1 ,3 ,4 ]
Hu, Xiaofang [2 ,3 ,4 ]
Wang, Lidan [1 ,3 ,4 ]
机构：
[1] Southwest Univ, Coll Elect & Informat Engn, Chongqing 400715, Peoples R China
[2] Southwest Univ, Sch Comp & Informat Sci, Chongqing 400715, Peoples R China
[3] Natl & Local Joint Engn Lab Intelligent Transmiss, Chongqing 400715, Peoples R China
[4] Brain Inspired Comp & Intelligent Control Chongqi, Chongqing 400715, Peoples R China
来源：
NEUROCOMPUTING | 2018年 / 318卷
基金：
中国博士后科学基金; 中国国家自然科学基金;
关键词：
Impulsive control; Passivity; Synchronization; Neural networks; Reaction-diffusion; Multiple time-varying delays; SAMPLED-DATA SYNCHRONIZATION; EXPONENTIAL STABILITY; PASSIFICATION; TERMS;
D O I：
10.1016/j.neucom.2018.08.005
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 investigates the passivity and synchronization of multiple delayed coupled reaction-diffusion neural networks (MDCRDNNs) with different dimensions of output and input vectors by means of impulsive control. By introducing suitable Lyapunov functionals and employing some analytical techniques, sufficient conditionsare derived to guarantee the passivity and globally exponential synchronization of MDCRDNNs under impulsive control. Finally, three simulation examples are performed to illustrate the results. (C) 2018 Published by Elsevier B.V.
引用
收藏
页码：30 / 42
页数：13
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