Distributed Impulsive Consensus of Nonlinear Multi-agent Systems via Matrix Measure Protocol

被引:0
|
作者
Chen, Boxun [1 ]
Ding, Dong [1 ]
Tang, Ze [1 ,2 ]
机构
[1] Jiangnan Univ, Sch Internet Things Engn, Wuxi 214122, Jiangsu, Peoples R China
[2] Jiangnan Univ, Minist Educ, Engn Res Ctr Internet Things Technol Applicat, Wuxi 214122, Jiangsu, Peoples R China
来源
2022 41ST CHINESE CONTROL CONFERENCE (CCC) | 2022年
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
multi-agent systems; matrix measure; distributed impulsive control; exponential consensus; distributed delay; LEADER-FOLLOWING CONSENSUS; COMPLEX NETWORKS; TIME; SYNCHRONIZATION;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The brief is devoted to researching the globally exponential consensus issue for nonlinear multi-agent systems with time-varying delay. A novel distributed impulsive controller with distributed delay is proposed to force the states of all agents to the target trajectories. By employing the concept of the matrix measure method, the comparison principle for impulsive systems, the average impulsive interval concept and the Lyapunov stability theorem, sufficient criteria for the exponential consensus of multi-agent systems are obtained. Finally, a numerical example is given to prove the rightness of the theoretical analysis.
引用
收藏
页码:4766 / 4771
页数:6
相关论文
共 50 条
  • [1] Distributed impulsive consensus of nonlinear multi-agent systems with input saturation
    Liu, Xiaolu
    Chen, Duxin
    Wang, Yan-Wu
    INTERNATIONAL JOURNAL OF MODERN PHYSICS C, 2019, 30 (07):
  • [2] Matrix measure-based distributed impulsive consensus on nonlinear multi-agent systems with mixed time-varying delays
    Chen, Boxun
    Tang, Ze
    Feng, Jianwen
    ISA TRANSACTIONS, 2024, 145 : 104 - 111
  • [3] Distributed Leaderless Impulsive Consensus of Nonlinear Multi-Agent Systems with Input Saturation
    Liu, Xiaolu
    Wang, Zhe
    Wang, Zongchuan
    Song, Ping
    Chen, Duxin
    2019 CHINA-QATAR INTERNATIONAL WORKSHOP ON ARTIFICIAL INTELLIGENCE AND APPLICATIONS TO INTELLIGENT MANUFACTURING (AIAIM), 2019, : 36 - 41
  • [4] Variable impulsive consensus of nonlinear multi-agent systems
    Ma, Tiedong
    Zhang, Zhengle
    Cui, Bing
    NONLINEAR ANALYSIS-HYBRID SYSTEMS, 2019, 31 : 1 - 18
  • [5] Adaptive impulsive consensus of nonlinear multi-agent systems via a distributed self-triggered strategy
    Diao, Weilu
    He, Wangli
    Liang, Kun
    Tan, Xuegang
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2024, 55 (11) : 2224 - 2238
  • [6] Consensus of nonlinear multi-agent systems via distributed hybrid controls
    Wei, Linna
    Liao, Yihao
    Luo, Shixian
    Chen, Wu-Hua
    Huang, Ganji
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2023, 33 (13) : 7510 - 7531
  • [7] Consensus of nonlinear multi-agent systems with distributed event-triggered impulsive control
    Tang, Wenyan
    Li, Kun
    Wu, Jia
    Xie, Yongfang
    JOURNAL OF VIBRATION AND CONTROL, 2022, 28 (7-8) : 882 - 891
  • [8] Iterative learning consensus control of nonlinear impulsive distributed parameter multi-agent systems
    Wu, Jing
    Dai, Xisheng
    Tian, Senping
    Huang, Qingnan
    EUROPEAN JOURNAL OF CONTROL, 2023, 71
  • [9] Distributed consensus of the nonlinear second-order multi-agent systems via mixed intermittent protocol
    Guo, Wanli
    Xiao, Haijun
    NONLINEAR ANALYSIS-HYBRID SYSTEMS, 2018, 30 : 189 - 198
  • [10] Impulsive exponential consensus of multi-agent nonlinear fuzzy systems
    Zhang, Liping
    Jiang, Haibo
    Information Technology Journal, 2013, 12 (17) : 4052 - 4057