Adaptive anti-synchronization of memristor-based complex-valued neural networks with time delays

被引：22
|
作者：
Xu, Wei [1 ]
Zhu, Song [1 ]
Fang, Xiaoyu [1 ]
Wang, Wei [1 ]
机构：
[1] China Univ Min & Technol, Sch Math, Xuzhou 221116, Jiangsu, Peoples R China
来源：
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | 2019年 / 535卷
基金：
中国国家自然科学基金;
关键词：
Adaptive anti-synchronization; Memristor; Complex-valued neural networks; Time delays; GLOBAL EXPONENTIAL SYNCHRONIZATION; PROJECTIVE SYNCHRONIZATION; STABILITY; STABILIZATION;
D O I：
10.1016/j.physa.2019.122427
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
This paper mainly deals with the adaptive anti-synchronization problem of memristor-based complex-valued neural networks with time delays. By using the concept of adaptive control technology, a specific feedback controller is designed to achieve antisynchronization. Compared to the anti-synchronization of complex-valued memristor-based delays neural networks, we use adaptive controller in the article. The adaptive controller can adjust system itself according to different updating laws. The obtained result is more reliable and improve some of the existing achievements. Finally, a numerical example is given to illustrate the effectiveness of the theoretical result. (C) 2019 Elsevier B.V. All rights reserved.
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页数：13
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