Cluster stochastic synchronization of complex dynamical networks via fixed-time control scheme

被引：38
作者：
Zhang, Wanli [1 ]
Li, Chuandong [2 ]
Li, Hongfei [2 ]
Yang, Xinsong [3 ]
机构：
[1] Chongqing Normal Univ, Coll Comp & Informat Sci, Chongqing 401331, Peoples R China
[2] Southwest Univ, Coll Elect & Informat Engn, Natl & Local Joint Engn Lab Intelligent Transmiss, Chongqing 400715, Peoples R China
[3] Chongqing Normal Univ, Sch Math Sci, Chongqing 401331, Peoples R China
来源：
NEURAL NETWORKS | 2020年 / 124卷
基金：
中国国家自然科学基金;
关键词：
Cluster synchronization; Complex dynamical networks; Stochastic perturbations; Quantization; Fixed-time technique; NEURAL-NETWORKS; LAG SYNCHRONIZATION; ADAPTIVE-CONTROL; STABILIZATION; SYSTEMS; DELAYS;
D O I：
10.1016/j.neunet.2019.12.019
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
By means of fixed-time (FDT) control technique, cluster stochastic synchronization of complex networks (CNs) is investigated. Quantized controller is designed to realize the synchronization of CNs within a settling time. FDT synchronization criteria are established with the help of Lyapunov functional and comparison system methods. It should be noted that the convergence of synchronization is further improved by comparing with existing FDT synchronization results. Numerical simulations are given to illustrate our results. (C) 2019 Elsevier Ltd. All rights reserved.
引用
收藏
页码：12 / 19
页数：8
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