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

2018 2nd annual International Conference on Cloud Technology and Communication Engineering

计算机科学;无线电电子学

Luo, Mengzhuo^1

College of Science, Guilin University of Technology, Guilin, Guangxi

541004, China^1

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

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/466/1/012049/pdf
DOI  :  10.1088/1757-899X/466/1/012049

学科分类：计算机科学（综合）

来源: IOP

【 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.