Synchronization of Complex Networks With Nondifferentiable Time-Varying Delay

被引:32
作者
Zhu, Shuaibing [1 ]
Zhou, Jin [1 ,2 ]
Yu, Xinghuo [3 ]
Lu, Jun-An [1 ]
机构
[1] Wuhan Univ, Sch Math & Stat, Wuhan 430072, Peoples R China
[2] Wuhan Univ, Hubei Key Lab Computat Sci, Wuhan 430072, Peoples R China
[3] RMIT Univ, Sch Engn, Melbourne, Vic 3001, Australia
基金
中国国家自然科学基金; 澳大利亚研究理事会;
关键词
Delays; Synchronization; Adaptive control; Complex networks; Couplings; Symmetric matrices; complex network; nondifferentiable time-varying delay; synchronization; PASSIVITY-BASED SYNCHRONIZATION; DYNAMICAL NETWORKS; NEURAL-NETWORKS; ADAPTIVE SYNCHRONIZATION; STABILITY;
D O I
10.1109/TCYB.2020.3022976
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 article, we investigate the synchronization of complex networks with general time-varying delay, especially with nondifferentiable delay. In the literature, the time-varying delay is usually assumed to be differentiable. This assumption is strict and not easy to verify in engineering. Until now, the synchronization of networks with nondifferentiable delay through adaptive control remains a challenging problem. By analyzing the boundedness of the adaptive control gain and extending the well-known Halanay inequality, we solve this problem and establish several synchronization criteria for networks under the centralized adaptive control and networks under the decentralized adaptive control. Particularly, the boundedness of the centralized adaptive control gain is theoretically proved. Numerical simulations are provided to verify the theoretical results.
引用
收藏
页码:3342 / 3348
页数:7
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