期刊
NEURAL NETWORKS
卷 65, 期 -, 页码 80-91出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.neunet.2015.01.008
关键词
Memristor-based neural networks; Delayed impulsive control; Filippov solution; Moment exponential synchronization; Stochastic perturbations
资金
- National Natural Science Foundation of China (NSFC) [61263020, 61302180, 61272530, 11072059, 61273012]
- Natural Science Foundation of Jiangsu Province of China [BK2012741]
- Program of Chongqing Innovation Team Project in University [KJTD201308]
This paper concerns the pth moment synchronization in an array of generally coupled memristor-based neural networks with time-varying discrete delays, unbounded distributed delays, as well as stochastic perturbations. Hybrid controllers are designed to cope with the uncertainties caused by the state-dependent parameters: (a) state feedback controllers combined with delayed impulsive controller; (b) adaptive controller combined with delayed impulsive controller. Based on an impulsive differential inequality, the properties of random variables, the framework of Filippov solution, and Lyapunov functional method, sufficient conditions are derived to guarantee that the considered coupled memristor-based neural networks can be pth moment globally exponentially synchronized onto an isolated node under both of the two classes of hybrid impulsive controllers. Finally, numerical simulations are given to show the effectiveness of the theoretical results. (C) 2015 Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据