Synchronization control of stochastic memristor-based neural networks with mixed delays

被引：40
|
作者：
Song, Yinfang [1 ]
Wen, Shiping [2 ,3 ]
机构：
[1] Yangtze Univ, Sch Informat & Math, Jinzhou 434023, Peoples R China
[2] Huazhong Univ Sci & Technol, Dept Control Sci & Engn, Wuhan 430074, Peoples R China
[3] Educ Minist China, Key Lab Image Proc & Intelligent Control, Wuhan 430074, Peoples R China
来源：
NEUROCOMPUTING | 2015年 / 156卷
关键词：
Memristor; Stochastic neural networks; Mixed delays; Synchronization control; TIME-VARYING DELAYS; EXPONENTIAL SYNCHRONIZATION; CIRCUIT;
D O I：
10.1016/j.neucom.2014.12.077
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, the synchronization control of stochastic memristor-based neural networks with mixed delays is studied. Based on the drive-response concept the stochastic differential inclusions theory and Lyapunov functional method some new criteria are established to guarantee the exponential synchronization in the pth moment of stochastic memristor-based neural networks. The obtained sufficient conditions can be checked easily and improve the results in earlier publications. Finally, a numerical example is given to illustrate the effectiveness of the new scheme. (C) 2015 Published by Elsevier B.V.
引用
收藏
页码：121 / 128
页数：8
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