Anti-synchronization of complex-valued memristor-based delayed neural networks

被引：37
|
作者：
Liu, Dan [1 ]
Zhu, Song [1 ]
Sun, Kaili [1 ]
机构：
[1] China Univ Min & Technol, Sch Math, Xuzhou 221116, Jiangsu, Peoples R China
来源：
NEURAL NETWORKS | 2018年 / 105卷
关键词：
Complex-valued neural networks; Memristor; Anti-synchronization; Controller design; TIME-VARYING DELAYS; EXPONENTIAL SYNCHRONIZATION; LAGRANGE STABILITY; NONLINEAR-SYSTEMS; PASSIVITY; DISCRETE;
D O I：
10.1016/j.neunet.2018.04.008
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 anti-synchronization of complex-valued memristor-based neural networks with time delays via designed external controllers. By constructing appropriate Lyapunov functions and using inequality technique, two different types of controllers are derived to guarantee the exponential anti-synchronization of complex-valued memristor-based delayed neural networks. Compared with existing relevant results, the proposed results of this paper are more general and less conservative. In addition, the presented theoretical results are easy to be checked with the parameters of systems themselves. Finally, an example with numerical simulations illustrates the effectiveness of the obtained results. (C) 2018 Elsevier Ltd. All rights reserved.
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页码：1 / 13
页数：13
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