Adaptive anti-synchronization and H∞ anti-synchronization for rnemristive neural networks with mixed time delays and reaction-diffusion terms

被引：35
|
作者：
Wu, Huaiqin [1 ]
Zhang, Xiaowei [1 ]
Li, Ruoxia [1 ]
Yao, Rong [1 ]
机构：
[1] Yanshan Univ, Dept Appl Math, Qinhuangdao 066001, Peoples R China
来源：
NEUROCOMPUTING | 2015年 / 168卷
关键词：
Memristor; Neural network; Anti-synchronization; H-infinity anti-synchronization; Reaction-diffusion; Adaptive control; GLOBAL EXPONENTIAL STABILITY; CHAOTIC SYSTEMS;
D O I：
10.1016/j.neucom.2015.05.051
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 firstly treats of the anti-synchronization of a class of memristor-based neural networks with mixed time delays and reaction-diffusion terms. An adaptive controller is designed such that the response system can be synchronized with the drive system by utilizing Lyapunov stability theory. Furthermore, the synchronization criteria derived in this paper are associated with the time switching. In addition, the H-infinity anti-synchronization of memristive neural networks has been studied as well. Therefore, the results obtained in this paper are more general and extend the previous work. Finally, two numerical examples and their simulations are given to show the effectiveness of the obtained results. (C) 2015 Elsevier B.V. All. rights reserved.
引用
收藏
页码：726 / 740
页数：15
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