Quasi-synchronization of drive-response systems with parameter mismatch via event-triggered impulsive control

被引：16
作者：
Zheng, Huannan [1 ,2 ]
Yu, Nanxiang [1 ,2 ]
Zhu, Wei [2 ]
机构：
[1] Chongqing Univ Posts & Telecommun, Sch Comp Sci & Technol, Chongqing 400065, Peoples R China
[2] Chongqing Univ Posts & Telecommun, Key Lab Intelligent Anal & Decis Complex Syst, Chongqing 400065, Peoples R China
来源：
NEURAL NETWORKS | 2023年 / 161卷
关键词：
Quasi-synchronization; Drive-response systems; Parameter mismatch; Event-triggered impulsive control; Zeno-behavior; DELAYED NEURAL-NETWORKS; MULTIAGENT SYSTEMS; DYNAMIC NETWORKS; FEEDBACK-CONTROL; CONSENSUS; CRITERIA;
D O I：
10.1016/j.neunet.2023.01.020
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, an event-triggered impulsive control method is proposed to investigate the quasi -synchronization of drive-response systems with parameter mismatch, which integrates the event -triggered control and impulsive control together. The impulsive instants are event-triggered and determined by a certain state-dependent triggering law. Sufficient conditions for achieving quasi -synchronization are achieved. The synchronization error is shown to be no more than a nonzero bound. Furthermore, Zeno-behavior of impulsive instants is excluded. Finally, a numerical example is presented to verify the validity of the theoretical results.(c) 2023 Elsevier Ltd. All rights reserved.
引用
收藏
页码：1 / 8
页数：8
相关论文
共 39 条
  • [11] Chaos quasisynchronization induced by impulses with parameter mismatches
    Li, Chuandong
    Chen, Guanrong
    Liao, Xiaofeng
    Fan, Zhengping
    [J]. CHAOS, 2006, 16 (02)
  • [12] New synchronization criteria for memristor-based networks: Adaptive control and feedback control schemes
    Li, Ning
    Cao, Jinde
    [J]. NEURAL NETWORKS, 2015, 61 : 1 - 9
  • [13] Input-to-State Stability of Nonlinear Systems: Event-Triggered Impulsive Control
    Li, Xiaodi
    Li, Peng
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2022, 67 (03) : 1460 - 1465
  • [14] Event-triggered impulsive control for nonlinear delay systems
    Li, Xiaodi
    Yang, Xueyan
    Cao, Jinde
    [J]. AUTOMATICA, 2020, 117
  • [15] Uniform synchronization for chaotic dynamical systems via event-triggered impulsive control
    Liu, Bin
    Sun, Zhijie
    Luo, Yihao
    Zhong, Yuxuan
    [J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2019, 531
  • [16] Reliable impulsive synchronization for fuzzy neural networks with mixed controllers
    Liu, Fen
    Liu, Chang
    Rao, Hongxia
    Xu, Yong
    Huang, Tingwen
    [J]. NEURAL NETWORKS, 2021, 143 : 759 - 766
  • [17] Consensus of Multi-Agent Networks With Aperiodic Sampled Communication Via Impulsive Algorithms Using Position-Only Measurements
    Liu, Zhi-Wei
    Guan, Zhi-Hong
    Shen, Xuemin
    Feng, Gang
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2012, 57 (10) : 2639 - 2643
  • [18] A unified synchronization criterion for impulsive dynamical networks
    Lu, Jianquan
    Ho, Daniel W. C.
    Cao, Jinde
    [J]. AUTOMATICA, 2010, 46 (07) : 1215 - 1221
  • [19] Synchronization in Networks of Linearly Coupled Dynamical Systems via Event-Triggered Diffusions
    Lu, Wenlian
    Han, Yujuan
    Chen, Tianping
    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 26 (12) : 3060 - 3069
  • [20] Impulsive synchronization of coupled delayed neural networks with actuator saturation and its application to image encryption
    Ouyang, Deqiang
    Shao, Jie
    Jiang, Haijun
    Nguang, Sing Kiong
    Shen, Heng Tao
    [J]. NEURAL NETWORKS, 2020, 128 (128) : 158 - 171
1234