Finite/fixed-time cluster synchronization for directed and multiplex coupled dynamic networks

被引:1
|
作者
Lin, Shanrong [1 ,2 ,3 ]
Liu, Xiwei [1 ,2 ]
机构
[1] Tongji Univ, Dept Comp Sci & Technol, Shanghai 201804, Peoples R China
[2] Tongji Univ, Minist Educ, Key Lab Embedded Syst & Serv Comp, Shanghai 201804, Peoples R China
[3] Univ Waterloo, Dept Appl Math, Waterloo, ON N2L 3G1, Canada
基金
美国国家科学基金会;
关键词
Cluster synchronization; Finite-time; Fixed-time control; Directed and multiplex coupled; Outer and inner matrices; COMPLEX NETWORKS; STABILITY; WEIGHTS; SYSTEMS;
D O I
10.1016/j.ins.2024.121136
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This article deals with finite/fixed-time cluster synchronization (FnTCS/FdTCS) issue for directed and multiplex coupled dynamic networks (MCDNs). Finite/fixed-time synchronization of multiplex networks has become a popular research topic, which indicates that, state information is utilized for synchronization, and the settling time depends on original condition for a range of finite time, while the time is bounded with arbitrary original value for fixed-time one. Through constructing appropriate feedback control protocol, FnTCS and FdTCS matters for MCDNs are settled under re-arranging variables' order technique. The present model contains the case that outer matrices (OMs) can be directed, with competitive elements, and not even connected, while previous and related researches assumed that OMs were undirected, cooperative and connected, so existing results can be improved for more general and broader regulations. This strategy above is presented to solve directed CDNs with multiweights from angle of inner and outer matrices, and we prove that if the weighted group of added OMs for each dimension is strongly connected, then cluster synchronization rules are established in finite/fixed time. Moreover, we also earn finite/fixedtime synchronization criteria when the cluster is single. In addition, the issue of FnTCS/FdTCS is developed for directed and multiplex coupled reaction-diffusion networks (MCRDNs) as an application. The validity of these gained results is verified by simulated examples.
引用
收藏
页数:24
相关论文
共 50 条
  • [1] Fixed-time cluster lag synchronization in directed heterogeneous community networks
    Cai, Shuiming
    Zhou, Feilong
    He, Qinbin
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2019, 525 : 128 - 142
  • [2] Further Results on Fixed-Time Cluster Synchronization of Coupled Neural Networks
    Huang, Rujia
    Liu, Xiaoyang
    Cao, Jinde
    NEURAL PROCESSING LETTERS, 2023, 55 (04) : 5069 - 5085
  • [3] Further Results on Fixed-Time Cluster Synchronization of Coupled Neural Networks
    Rujia Huang
    Xiaoyang Liu
    Jinde Cao
    Neural Processing Letters, 2023, 55 : 5069 - 5085
  • [4] Finite/fixed-time synchronization control of coupled memristive neural networks
    Li, Jiarong
    Jiang, Haijun
    Hu, Cheng
    Alsaedi, Ahmed
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2019, 356 (16): : 9928 - 9952
  • [5] Distributed adaptive finite-time and fixed-time cluster synchronization of complex networks
    Zhang, Shikun
    Liu, Dan
    Cui, Xiaohong
    Zhou, Kun
    Wang, Binrui
    JOURNAL OF THE FRANKLIN INSTITUTE, 2025, 362 (03)
  • [6] A New Lyapunov Function Method to the Fixed-Time Cluster Synchronization of Directed Community Networks
    Feilong Zhou
    Xiaobing Nie
    Neural Processing Letters, 2022, 54 : 2143 - 2164
  • [7] A New Lyapunov Function Method to the Fixed-Time Cluster Synchronization of Directed Community Networks
    Zhou, Feilong
    Nie, Xiaobing
    NEURAL PROCESSING LETTERS, 2022, 54 (03) : 2143 - 2164
  • [8] Finite- and Fixed-Time Cluster Synchronization of Nonlinearly Coupled Delayed Neural Networks via Pinning Control
    Zhang, Xin
    Zhou, Wuneng
    Karimi, Hamid Reza
    Sun, Yuqing
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 32 (11) : 5222 - 5231
  • [9] Fixed-time synchronization of multiplex networks by sliding mode control
    Wu, Xifen
    Bao, Haibo
    Cao, Jinde
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2023, 360 (08): : 5504 - 5523
  • [10] Finite-Time and Fixed-Time Synchronization of Coupled Memristive Neural Networks With Time Delay
    Gong, Shuqing
    Guo, Zhenyuan
    Wen, Shiping
    Huang, Tingwen
    IEEE TRANSACTIONS ON CYBERNETICS, 2021, 51 (06) : 2944 - 2955