Synchronization control of a class of memristor-based recurrent neural networks

被引：340
作者：
Wu, Ailong [1 ,2 ]
Wen, Shiping [1 ,2 ]
Zeng, Zhigang [1 ,2 ]
机构：
[1] Huazhong Univ Sci & Technol, Dept Control Sci & Engn, Wuhan 430074, Peoples R China
[2] Educ Minist China, Key Lab Image Proc & Intelligent Control, Wuhan 430074, Peoples R China
来源：
INFORMATION SCIENCES | 2012年 / 183卷 / 01期
基金：
高等学校博士学科点专项科研基金;
关键词：
Memristor; Recurrent neural networks; Circuit analysis; Exponential synchronization; TIME-VARYING DELAYS; EXPONENTIAL SYNCHRONIZATION; SATURATION; STABILITY; SYSTEMS;
D O I：
10.1016/j.ins.2011.07.044
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we formulate and investigate a class of memristor-based recurrent neural networks. Some sufficient conditions are obtained to guarantee the exponential synchronization of the coupled networks based on drive-response concept, differential inclusions theory and Lyapunov functional method. The analysis in the paper employs results from the theory of differential equations with discontinuous right-hand side as introduced by Filippov. Finally, the validity of the obtained result is illustrated by a numerical example. Crown Copyright (C) 2011 Published by Elsevier Inc. All rights reserved.
引用
收藏
页码：106 / 116
页数：11
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