Adaptive finite-time quantized synchronization of complex dynamical networks with quantized time-varying delayed couplings

被引：19
|
作者：
He, Juan-Juan [1 ,2 ]
Chen, Hui [1 ,2 ]
Ge, Ming-Feng [3 ]
Ding, Teng-Fei [3 ]
Wang, Leimin [4 ]
Liang, Chang-Duo [3 ]
机构：
[1] Wuhan Univ Sci & Technol, Coll Comp Sci & Technol, Wuhan, Hubei, Peoples R China
[2] Hubei Prov Key Lab Intelligent Informat Proc & Re, Wuhan, Hubei, Peoples R China
[3] China Univ Geosci, Sch Mech Engn & Elect Informat, Wuhan 430074, Peoples R China
[4] China Univ Geosci, Sch Automat, Wuhan 430074, Peoples R China
来源：
NEUROCOMPUTING | 2021年 / 431卷
基金：
中国国家自然科学基金;
关键词：
Complex dynamical networks (CDNs); Quantized time-varying delayed couplings; Finite-time synchronization; Quantized control; Adaptive control;
D O I：
10.1016/j.neucom.2020.12.038
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper investigates the finite-time synchronization problem of the complex dynamical networks (CDNs) with quantized time-varying delayed couplings and adaptive coupling strengths. A novel finite-time adaptive quantized control algorithm and the corresponding updated laws are developed to address the aforementioned problem. Then based on the convex combination technique and nonsmooth analysis, the sufficient conditions are derived to guarantee the finite-time synchronization in the sense of Lyapunov stability. Finally, numerical simulations are performed to verify the effectiveness and feasibility of the proposed algorithm. (C) 2020 Elsevier B.V. All rights reserved.
引用
收藏
页码：90 / 99
页数：10
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