Finite-time synchronization of delayed complex dynamic networks via aperiodically intermittent control

被引:41
|
作者
Jing, Taiyan [1 ]
Zhang, Daoyuan [2 ]
Mei, Jun [3 ]
Fan, Yuling [4 ]
机构
[1] Henan Polytech Univ, Sch Math & Informat Sci, Jiaozuo 454000, Henan, Peoples R China
[2] Sun Yat Sen Univ, Xinhua Coll, Sch Econ & Trade, Guangzhou 523133, Guangdong, Peoples R China
[3] Univ Pretoria, Dept Elect Elect & Comp Engn, Ctr New Energy Syst, ZA-0002 Pretoria, South Africa
[4] Huazhong Agr Univ, Coll Informat, Wuhan 430072, Hubei, Peoples R China
关键词
GROSSBERG NEURAL-NETWORKS; CHAOTIC SYSTEMS; EXPONENTIAL SYNCHRONIZATION; REACTION-DIFFUSION; ADAPTIVE SYNCHRONIZATION;
D O I
10.1016/j.jfranklin.2019.03.024
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, the finite-time synchronization problem of complex dynamic networks with time delay is studied via aperiodically intermittent control. By compared with the existed results concerning aperiodically intermittent control, some new results are obtained to guarantee the synchronization of networks in a finite time. Especially, a new lemma is proposed to reduce the convergence time. In addition, based on aperiodically intermittent control scheme, the essential condition ensuring finite-time synchronization of dynamic networks is also obtained, and the convergence time is closely related to the topological structure of networks and the maximum ratio of the rest width to the aperiodic time span. Finally, a numerical example is provided to verify the validness of the proposed theoretical results. (C) 2019 Published by Elsevier Ltd on behalf of The Franklin Institute.
引用
收藏
页码:5464 / 5484
页数:21
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