Exponential bipartite synchronisation of stochastic signed networks via intermittent pinning discrete-time state observations control

被引:0
|
作者
Li, Jin [1 ]
Jiao, Haoyang [2 ]
Duan, Mengyuan [1 ]
Guo, Ying [1 ,3 ]
机构
[1] Qingdao Univ Technol, Dept Math, Qingdao, Peoples R China
[2] Harbin Inst Technol Weihai, Dept Math, Weihai, Peoples R China
[3] Qingdao Univ Technol, Dept Math, Qingdao 266520, Peoples R China
关键词
Stochastic signed networks; periodically intermittent pinning control; exponential bipartite synchronisation in mean square; discrete-time state observations; EVENT-TRIGGERED CONTROL; DIFFERENTIAL-EQUATIONS; COMPLEX NETWORKS; NEURAL-NETWORKS; MULTIAGENT SYSTEMS; DYNAMICAL NETWORKS; DIRECTED NETWORKS; STABILIZATION; DELAYS;
D O I
10.1080/00207179.2023.2270213
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 paper studies the exponential bipartite synchronisation in mean square (EBS-MS) of stochastic signed networks (SSNs) via periodically intermittent pinning control. It is important to note that intermittent control is an extension of existing literature, which depends on discrete observations instead of continuous observations during the work period. Additionally, only a small percentage of the network nodes are controlled by intermittent control. Several sufficient conditions are established by the Lyapunov method and graph theory. Especially, when the duration tau between two consecutive observations tends to zero, our control will degenerate into common periodically intermittent pinning control. Meanwhile, a corollary about the EBS-MS of SSNs is presented. Besides, theoretical results are applied to a single-link robot arm system and an oscillator system. Finally, numerical simulations are presented to show the feasibility of the theoretical results.
引用
收藏
页码:2365 / 2379
页数:15
相关论文
共 50 条
  • [1] Bipartite synchronization of signed networks via aperiodically intermittent control based on discrete-time state observations
    Xu, Dongsheng
    Pang, Jiahuan
    Su, Huan
    NEURAL NETWORKS, 2021, 144 : 307 - 319
  • [2] Fully aperiodic intermittent pinning control for exponential bipartite synchronization of multilayer signed stochastic coupled neural networks
    Ren, Yue
    Jiang, Haijun
    Hu, Cheng
    Li, Xinman
    Qin, Xuejiao
    NEUROCOMPUTING, 2023, 546
  • [3] Synchronisation of second-order stochastic complex dynamical networks via intermittent pinning discrete observations control and their applications
    Wu, Yongbao
    Guo, Zhengrui
    Li, Wenxue
    Feng, Jiqiang
    IET CONTROL THEORY AND APPLICATIONS, 2020, 14 (20): : 3440 - 3450
  • [4] Exponential stabilization of stochastic complex networks with Markovian switching topologies via intermittent discrete-time state observation control
    Zheng, Naiqin
    Han, Nani
    Gunasekaran, Nallappan
    NONLINEAR ANALYSIS-HYBRID SYSTEMS, 2023, 49
  • [5] Synchronization of stochastic impulsive discrete-time delayed networks via pinning control
    Lin, Yu
    Zhang, Yu
    NEUROCOMPUTING, 2018, 286 : 31 - 40
  • [6] Aperiodically intermittent pinning discrete-time observation control for exponential synchronization of stochastic multilayer coupled systems
    Xu, Dongsheng
    Wang, Ting
    Su, Huan
    NEUROCOMPUTING, 2022, 505 : 203 - 213
  • [7] Stochastic stabilization of hybrid neural networks by periodically intermittent control based on discrete-time state observations
    Mao, Wei
    You, Surong
    Jiang, Yanan
    Mao, Xuerong
    NONLINEAR ANALYSIS-HYBRID SYSTEMS, 2023, 48
  • [8] Inner synchronisation of stochastic impulsive multi-links coupled systems via discrete-time state observations control
    Liu, Yan
    Liu, Anran
    Chu, Dianhui
    Su, Huan
    INTERNATIONAL JOURNAL OF CONTROL, 2021, 94 (12) : 3363 - 3374
  • [9] Stochastic mean square exponential synchronisation of time-varying complex dynamical networks via pinning control
    Wang, Xin
    Liu, Xinzhi
    She, Kun
    Zhong, Shouming
    Shi, Kaibo
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2017, 48 (11) : 2282 - 2290
  • [10] Synchronization of stochastic complex networks with time delay via feedback control based on discrete-time state observations
    Wu, Yongbao
    Gao, Yixuan
    Li, Wenxue
    NEUROCOMPUTING, 2018, 315 : 68 - 81