Anti-synchronization control of a class of memristive recurrent neural networks

被引：161

作者：

Wu, Ailong

Zeng, Zhigang ^{[1
]}

机构：

[1] Huazhong Univ Sci & Technol, Dept Control Sci & Engn, Wuhan 430074, Peoples R China

来源：

COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION | 2013年 / 18卷 / 02期

关键词：

Memristor; Discontinuous dynamical systems; Hybrid control systems; Anti-synchronization; SYSTEMS; OSCILLATORS; ALGORITHM; ARRAY;

D O I：

10.1016/j.cnsns.2012.07.005

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

In this paper, we formulate and investigate a class of memristive recurrent neural networks. Two different types of anti-synchronization algorithms are derived to achieve the exponential anti-synchronization of the coupled systems based on drive-response concept, differential inclusions theory and Lyapunov functional method. The proposed anti-synchronization algorithms are simple and can be easily realized. The analysis in the paper employs results from the theory of differential equations with discontinuous right-hand side as introduced by Filippov. The obtained results extend some previous works on conventional recurrent neural networks. Crown Copyright (c) 2012 Published by Elsevier B.V. All rights reserved.

引用

页码：373 / 385

页数：13

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