Delay-dependent finite-time synchronization criterion of fractional-order delayed complex networks

被引：21
|
作者：
Du, Feifei
Lu, Jun-Guo [1 ]
Zhang, Qing-Hao
机构：
[1] Shanghai Jiao Tong Univ, Dept Automation, Shanghai 200240, Peoples R China
来源：
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION | 2023年 / 119卷
基金：
中国博士后科学基金; 中国国家自然科学基金;
关键词：
Finite -time synchronization; Finite -time convergence principle; Complex network; Fractional-order; FUZZY NEURAL-NETWORKS; STABILITY ANALYSIS; MODEL; EQUATIONS;
D O I：
10.1016/j.cnsns.2022.107072
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
The delay-dependent finite-time synchronization (FTS) is investigated for a class of fractional-order delayed complex networks (FODCNs). First, with the aid of the Young inequality and the rule for fractional derivative of the composition function, a novel delay-dependent fractional-order finite-time convergence principle (FOFTCP) is given. The settling time obtained by this principle is dependent on the time delay, which leads to that obtained FTS criteria by this principle are less conservative than the earlier ones. Second, based on this delay-dependent FOFTCP and the designed feedback controller, a novel FTS criterion of FODCNs is obtained. Finally, two numerical examples are presented to show the effectiveness of the derived results. (c) 2022 Elsevier B.V. All rights reserved.
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页数：14
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