Finite-time synchronization of complex dynamical networks under delayed impulsive effects

被引:13
作者
Cui, Qian [1 ]
Li, Lulu [1 ]
Lu, Jianquan [2 ]
Alofi, Abdulaziz [3 ]
机构
[1] Hefei Univ Technol, Sch Math, Hefei 230009, Peoples R China
[2] Southeast Univ, Sch Math, Nanjing 210096, Peoples R China
[3] King Abdulaziz Univ, Fac Sci, Dept Math, Jeddah 21589, Saudi Arabia
基金
中国国家自然科学基金;
关键词
Complex dynamical networks; Finite-time synchronization; Settling time; Delayed impulses; NEURAL-NETWORKS; EXPONENTIAL STABILITY; SYSTEMS;
D O I
10.1016/j.amc.2022.127290
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This paper mainly studies the finite-time synchronization (FTS) of complex dynamical networks (CDNs) with delayed impulses. By constructing proper Lyapunov function, some sufficient criteria for FTS of CDNs under synchronizing and desynchronizing impulses are established, respectively. Firstly, the existing results of FTS are extended to the case with delayed impulses. Secondly, when the impulses in the CDNs are synchronizing, the existing criterion of local FTS (LFTS) is extended to global FTS (GFTS) and the settling time which depends on the initial values and the impulses is estimated. Furthermore, the bound of settling time is estimated explicitly when the CDNs are subjected to desynchronizing impulses. Finally, three examples are given to illustrate the validity of the obtained results.(c) 2022 Elsevier Inc. All rights reserved.
引用
收藏
页数:13
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共 33 条
[1]   Complex networks: Structure and dynamics [J].
Boccaletti, S. ;
Latora, V. ;
Moreno, Y. ;
Chavez, M. ;
Hwang, D. -U. .
PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS, 2006, 424 (4-5) :175-308
[2]   Exponential synchronization for inertial coupled neural networks under directed topology via pinning impulsive control [J].
Chen, Shanshan ;
Jiang, Haijun ;
Lu, Binglong ;
Yu, Zhiyong .
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2020, 357 (03) :1671-1689
[3]   New criterion for finite-time synchronization of fractional order memristor-based neural networks with time delay [J].
Du, Feifei ;
Lu, Jun-Guo .
APPLIED MATHEMATICS AND COMPUTATION, 2021, 389
[4]   Finite-time control of robotic manipulators [J].
Galicki, Miroslaw .
AUTOMATICA, 2015, 51 :49-54
[5]   Finite-time control for robot manipulators [J].
Hong, YG ;
Xu, YS ;
Huang, J .
SYSTEMS & CONTROL LETTERS, 2002, 46 (04) :243-253
[6]   Finite-time synchronization of delayed neural networks with Cohen-Grossberg type based on delayed feedback control [J].
Hu, Cheng ;
Yu, Juan ;
Jiang, Haijun .
NEUROCOMPUTING, 2014, 143 :90-96
[7]   Robust synchronization of different coupled oscillators: Application to antenna arrays [J].
Hutu, Florin ;
Cauet, Sebastien ;
Coirault, Patrick .
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2009, 346 (05) :413-430
[8]   A unified criterion for global exponential stability of quaternion-valued neural networks with hybrid impulses [J].
Ji, Xinrui ;
Lu, Jianquan ;
Lou, Jungang ;
Qiu, Jianlong ;
Shi, Kaibo .
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2020, 30 (18) :8098-8116
[9]   EXPONENTIAL STABILITY OF DELAYED SYSTEMS WITH AVERAGE-DELAY IMPULSES [J].
Jiang, Bangxin ;
Lu, Jianquan ;
Liu, Yang .
SIAM JOURNAL ON CONTROL AND OPTIMIZATION, 2020, 58 (06) :3763-3784
[10]   Analyzing the Robustness of Impulsive Synchronization Coupled by Linear Delayed Impulses [J].
Khadra, Anmar ;
Liu, Xinzhi Z. ;
ShermanShen, Xuemin .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2009, 54 (04) :923-928