Synchronization Control of Coupled Memristor-Based Neural Networks with Mixed Delays and Stochastic Perturbations

被引：0
|
作者：
Chuan Chen
Lixiang Li
Haipeng Peng
Yixian Yang
Tao Li
机构：
[1] Beijing University of Posts and Telecommunications,Information Security Center, State Key Laboratory of Networking and Switching Technology
[2] State Key Laboratory of Public Big Data,College of Computer Science
[3] Sichuan University,undefined
来源：
Neural Processing Letters | 2018年 / 47卷
关键词：
Synchronization; Stochastic perturbations; Mixed delays; Coupled memristor-based neural networks; Feedback controllers;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper investigates the synchronization control problem of coupled memristor-based neural networks (CMNNs) with mixed delays and stochastic perturbations. By utilizing simple feedback controllers, some novel sufficient conditions are derived to ensure the exponential synchronization of CMNNs with mixed delays and stochastic perturbations in mean square. In addition, by means of adaptive feedback controllers, the asymptotic synchronization of CMNNs with mixed delays and stochastic perturbations in mean square can also be achieved via stochastic LaSalle invariance principle. Numerical simulations are presented to illustrate the effectiveness of the theoretical results.
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收藏
页码：679 / 696
页数：17
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