Finite-time quantized dynamic event-triggered control for cluster synchronization of Markovian jump complex dynamic networks with time-varying delays and actuator faults

被引:5
|
作者
Hou, Meng [1 ]
Liu, Deyou [1 ]
Fu, Lei [2 ]
Ma, Yuechao [1 ]
机构
[1] Yanshan Univ, Sch Sci, Qinhuangdao 066004, Hebei, Peoples R China
[2] Hebei Univ, Sch Elect Informat Engn, Baoding 071002, Hebei, Peoples R China
基金
中国国家自然科学基金;
关键词
Markovian jump complex dynamic; networks; Dynamic event -triggered control; mechanism; Fault -tolerant control scheme; Finite -time cluster synchronization; SUBJECT; SYSTEMS;
D O I
10.1016/j.cnsns.2023.107298
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this article, by employing the quantized dynamic event-triggered (ET) and adaptive fault-tolerant control mechanisms, the finite-time cluster synchronization (FTCS) criterion of Markov jump complex dynamic networks (MJCDNs) with actuator faults is established. A kind of novel adaptive controller is designed and appropriate Lyapunov functions are applied to eliminate the effectiveness of actuator faults. Further on historical ET schemes, a more universal dynamic ET control mechanism for MJCDNs is considered in this article, which can reduce the network load of MJCDNs more effectively. Meanwhile, the Zeno behavior is ruled out availably. Finally, the numerical simulation example is presented to verify the validity of the theory. (c) 2023 Elsevier B.V. All rights reserved.
引用
收藏
页数:19
相关论文
共 50 条
  • [31] Event-triggered sampled-data synchronization of complex networks with time-varying coupling delays
    Yang Yang
    Yue Long
    [J]. Advances in Difference Equations, 2020
  • [32] Event-Triggered Synchronization Control of Uncertain Neutral-Type Neural Networks With Time-Varying Delays and Actuator Saturation
    Duan, Chunmei
    Tian, Mingyang
    [J]. IEEE ACCESS, 2024, 12 : 17571 - 17581
  • [33] Finite-time dissipative synchronization of discrete-time semi-Markovian jump complex dynamical networks with actuator faults
    N. Sakthivel
    S. Pallavi
    Yong-Ki Ma
    V. Vijayakumar
    [J]. Soft Computing, 2022, 26 : 8371 - 8386
  • [34] Finite-time synchronization of complex networks with hybrid-coupled time-varying delay via event-triggered aperiodically intermittent pinning control
    Liu, Huawei
    Chen, Xiangyong
    Qiu, Jianlong
    Zhao, Feng
    [J]. MATHEMATICAL METHODS IN THE APPLIED SCIENCES, 2021,
  • [35] Finite-time dissipative synchronization of discrete-time semi-Markovian jump complex dynamical networks with actuator faults
    Sakthivel, N.
    Pallavi, S.
    Ma, Yong-Ki
    Vijayakumar, V.
    [J]. SOFT COMPUTING, 2022, 26 (17) : 8371 - 8386
  • [36] Finite-time synchronization of sampled-data Markovian jump complex dynamical networks with additive time-varying delays based on dissipative theory
    Alsaedi, Ahmed
    Usha, M.
    Ali, M. Syed
    Ahmad, Bashir
    [J]. JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2020, 368
  • [37] Aperiodically intermittent synchronization of Markovian jump stochastic complex networks with time-varying delays
    Guo, Beibei
    Xiao, Yu
    Zhang, Chiping
    [J]. APPLICABLE ANALYSIS, 2020, 99 (13) : 2280 - 2306
  • [38] Adaptive finite-time quantized synchronization of complex dynamical networks with quantized time-varying delayed couplings
    He, Juan-Juan
    Chen, Hui
    Ge, Ming-Feng
    Ding, Teng-Fei
    Wang, Leimin
    Liang, Chang-Duo
    [J]. NEUROCOMPUTING, 2021, 431 : 90 - 99
  • [39] Finite-Time Fuzzy Adaptive Dynamic Event-Triggered Formation Tracking Control for USVs With Actuator Faults and Multiple Constraints
    Li, Yongming
    Feng, Kelin
    Li, Kewen
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2024, 20 (04) : 5285 - 5296
  • [40] Synchronization criteria for singular complex networks with Markovian jump and time-varying delays via pinning control
    Ma, Yuechao
    Ma, Nannan
    Chen, Lin
    [J]. NONLINEAR ANALYSIS-HYBRID SYSTEMS, 2018, 29 : 85 - 99