Event-triggered synchronization of coupled memristive neural networks

被引：39
作者：
Zhu, Sha [1 ]
Bao, Haibo [1 ]
机构：
[1] Southwest Univ, Sch Math & Stat, Chongqing 400715, Peoples R China
来源：
APPLIED MATHEMATICS AND COMPUTATION | 2022年 / 415卷
基金：
中国国家自然科学基金;
关键词：
Event-triggered control; Coupled memristive neural networks; Synchronization; TIME-VARYING DELAYS; COMPLEX DYNAMICAL NETWORKS; EXPONENTIAL SYNCHRONIZATION; STABILIZATION;
D O I：
10.1016/j.amc.2021.126715
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
This article is devoted to exploring the synchronization problem of coupled memristive neural networks (CMNN) under event-triggered control (ETC) for the first time. Firstly, combining the concept of Filippov solution with the theory of differential inclusion, the interval parameter system is introduced. Then, static event-triggered control (SETC) condition and dynamic event-triggered control (DETC) condition are given respectively based on a newly designed controller. Thirdly, some novel sufficient conditions are given to synchronize CMNN under ETC scheme by applying Lyapunov function and inequality techniques. Moreover, the positive lower bound of the trigger interval is calculated explicitly, which reveals that Zeno-behavior could be removed. Lastly, the validity of the provided ETC mechanism is further confirmed by an example. (C) 2021 Elsevier Inc. All rights reserved.
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页数：15
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