Synchronization of networked harmonic oscillators subject to Markovian jumping coupling strengths

被引:0
|
作者
Jingyi Wang
Chen Xu
Jianwen Feng
Yi Zhao
机构
[1] Shenzhen University,College of Mathematics and Statistics
来源
Nonlinear Dynamics | 2018年 / 91卷
关键词
Almost sure exponential synchronization; Networked harmonic oscillators; Markovian jumping; Coupling strengths;
D O I
暂无
中图分类号
学科分类号
摘要
To explore the effect the switching coupling strengths on synchronization of complex dynamical networks, both an impulsive coupling protocol and a piecewise constant coupling protocol are designed by using periodic sampling velocity data for a group of harmonic oscillators. Moreover, the convergence of these protocols with switching coupling strengths is discussed and some sufficient conditions are established under which the networked harmonic oscillators could achieve collective oscillatory behavior in almost sure sense. It is shown that the almost sure exponential synchronization can be reached even when the coupling strength is switched between enabling and not enabling to achieve synchronization. Finally, some numerical examples are given to illustrate the effectiveness of the theoretical results.
引用
收藏
页码:2607 / 2619
页数:12
相关论文
共 50 条
  • [41] Synchronization of coupled harmonic oscillators with random noises
    Wen Sun
    Xinghuo Yu
    Jinhu Lü
    Shihua Chen
    Nonlinear Dynamics, 2015, 79 : 473 - 484
  • [42] Pinning Synchronization in Heterogeneous Networks of Harmonic Oscillators
    Wang, Zhengxin
    Fan, Jingbo
    Jiang, He
    He, Haibo
    NEURAL INFORMATION PROCESSING (ICONIP 2017), PT III, 2017, 10636 : 836 - 845
  • [43] Synchronization of coupled harmonic oscillators with local interaction
    Ren, Wei
    AUTOMATICA, 2008, 44 (12) : 3195 - 3200
  • [44] Synchronization of coupled harmonic oscillators with random noises
    Sun, Wen
    Yu, Xinghuo
    Lu, Jinhu
    Chen, Shihua
    NONLINEAR DYNAMICS, 2015, 79 (01) : 473 - 484
  • [45] High-Harmonic Synchronization of Optomechanical Oscillators
    Rodrigues, Caique C.
    Kersul, Caue M.
    Lipson, Michal
    Alegre, Thiago P. M.
    Wiederhecker, Gustavo S.
    2020 CONFERENCE ON LASERS AND ELECTRO-OPTICS (CLEO), 2020,
  • [46] Synchronization of Markovian jump genetic oscillators with nonidentical feedback delay
    Zhang, Wenbing
    Fang, Jian-an
    Miao, Qingying
    Chen, Liang
    Zhu, Wu
    NEUROCOMPUTING, 2013, 101 : 347 - 353
  • [47] Distributed adaptive synchronization for delayed neural networks with Markovian jumping parameters
    Dai, Anding
    Xiao, Cuie
    PROCEEDINGS OF THE 35TH CHINESE CONTROL CONFERENCE 2016, 2016, : 3636 - 3641
  • [48] Synchronization criteria of delayed inertial neural networks with generally Markovian jumping
    Wang, Junyi
    Wang, Zhanshan
    Chen, Xiangyong
    Qiu, Jianlong
    NEURAL NETWORKS, 2021, 139 : 64 - 76
  • [49] Synchronization of Markovian jumping complex networks with event-triggered control
    邵浩宇
    胡爱花
    刘丹
    Chinese Physics B, 2015, (09) : 599 - 606
  • [50] Non-fragile Synchronization of Markovian Jumping Complex Dynamical Networks with Random Coupling and Time-Varying Delays
    Adu-Gyamfi, Fehrs
    Cheng, Yuhua
    Yin, Chun
    Zhong, Shouming
    2018 9TH IEEE ANNUAL UBIQUITOUS COMPUTING, ELECTRONICS & MOBILE COMMUNICATION CONFERENCE (UEMCON), 2018, : 315 - +