Synchronization of Memristor-Based Delayed Neural Networks via Aperiodically Intermittent Control

[摘要] This paper investigates the exponential synchronization problem for a class of memristor-based neural networks via novel aperiodically intermittent control approach. By using Lyapunov stability theory, several novel and useful synchronization criteria are obtained, which guarantee global exponential synchronization of memristive neural networks. Finally, a numerical example is given to illustrate the effectiveness of proposed method.

[发布机构] College of Science, Guilin University of Technology, Guilin, Guangxi; 541004, China^1

[效力级别] 无线电电子学 [学科分类] 计算机科学（综合）

[关键词] Delayed neural networks;Exponential synchronization;Global exponential synchronizations;Intermittent controls;Lyapunov stability theory;Memristor