Finite-Time Synchronization of Complex Dynamical Networks via a Novel Hybrid Controller

被引:23
|
作者
Xi, Qiang [1 ]
Liu, Xinzhi [2 ]
Li, Xiaodi [3 ]
机构
[1] Shandong Univ Finance & Econ, Sch Stat & Math, Jinan 250014, Peoples R China
[2] Univ Waterloo, Fac Math, Dept Appl Math, Waterloo, ON N2L 3G1, Canada
[3] Shandong Normal Univ, Sch Math & Stat, Jinan 250014, Peoples R China
基金
中国国家自然科学基金; 加拿大自然科学与工程研究理事会;
关键词
Synchronization; Couplings; Asymptotic stability; Symmetric matrices; Stability criteria; Perturbation methods; Linear matrix inequalities; Complex dynamical networks (CDNs); finite-time synchronization (FTS); impulsive control; maximal impulsive interval (MII); weak finite-time control; NEURAL-NETWORKS; MULTIAGENT SYSTEMS; SETTLING-TIME; STABILITY; STABILIZATION; FEEDBACK;
D O I
10.1109/TNNLS.2022.3185490
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The issue of finite-time synchronization (FTS) of complex dynamical networks (CDNs) is investigated in this article. A new control strategy coupling weak finite-time control and finite times of impulsive control is proposed to realize the FTS of CDNs, where the impulses are synchronizing and restricted by maximal impulsive interval (MII), differing from the existing results. In this framework, several global and local FTS criteria are established by using the concept of impulsive degree. The times of impulsive control in the controllers and the settling time, which are all dependent on initial values, are derived optimally. A technical lemma is developed, reflecting the core idea of this article. A simulation example is given to demonstrate the main results finally.
引用
收藏
页码:1040 / 1049
页数:10
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