Synchronization of Time Delay Coupled Neural Networks Based on Impulsive Control

被引：1
|
作者：
Fang, Jie [1 ,2 ]
Zhang, Yin [1 ]
Xu, Danying [1 ]
Sun, Junwei [1 ,2 ]
机构：
[1] Zhengzhou Univ Light Ind, Coll Elect & Message Engn, Zhengzhou 450002, Peoples R China
[2] Henan Key Lab Informat Based Elect Appliances, Zhengzhou 450002, Peoples R China
来源：
MATHEMATICAL PROBLEMS IN ENGINEERING | 2020年 / 2020卷
基金：
中国国家自然科学基金;
关键词：
EXPONENTIAL SYNCHRONIZATION; UNKNOWN-PARAMETERS; CHAOTIC SYSTEMS; STABILITY;
D O I：
10.1155/2020/5986018
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
This paper investigates the impulsive synchronization of time delay coupled neural networks. Based on the Lyapunov stability theory and impulsive control method, a distributed delayed impulsive controller is designed to realize synchronization of the coupled neural networks. A new impulsive delayed inequality is proposed, where the control effect of distributed delayed impulses is fully considered. In addition, a suitable Lyapunov-like function is established to prove the stability of the synchronization system. Numerical simulation examples are introduced to illustrate the effectiveness and feasibility of the main results.
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页数：8
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