Asynchronous impulsive containment control in switched multi-agent systems

被引:52
|
作者
Li, Chaojie [1 ]
Yu, Xinghuo [1 ]
Liu, Zhi-Wei [2 ,4 ]
Huang, Tingwen [3 ]
机构
[1] RMIT Univ, Sch Elect & Comp Engn, Melbourne, Vic 3001, Australia
[2] Wuhan Univ, Sch Power & Mech Engn, Dept Automat, Wuhan 430072, Peoples R China
[3] Texas A&M Univ Qatar, POB 23874, Doha, Qatar
[4] Minist Educ, Key Lab Measurement & Control Complex Syst Engn, Nanjing 210096, Jiangsu, Peoples R China
基金
澳大利亚研究理事会; 中国国家自然科学基金;
关键词
Asynchronous containment control; Switched multi-agent system; Multiple Lyapunov functions; Razumikhin technique; Mathematical induction method; SUFFICIENT CONDITIONS; NETWORKS; CONSENSUS; SYNCHRONIZATION; ALGORITHMS; COMMUNICATION;
D O I
10.1016/j.ins.2016.01.072
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A novel impulsive containment control is derived for multi-agent systems with the switching behavior and time delay, where an asynchronous impulsive control formulation is introduced in a distributed synthesis. Containment control criterion is established by using multiple Lyapunov functions and the Razumikhin technique in terms of mathematical induction. The relationship between impulsive control and the average dwell time is presented and thus can serve as a tool to design an impulsive containment controller. Unlike traditional impulsive control strategies, the proposed methodology does not require time instants of impulsive control to simultaneously occur with switching signals, which significantly leads to a less conservativeness of the designed impulsive controller to handle the switched system. Finally, the effectiveness of the proposed method is verified by a simulation example. (C) 2016 Elsevier Inc. All rights reserved.
引用
收藏
页码:667 / 679
页数:13
相关论文
共 50 条
  • [41] Containment Control of Multi-Agent Systems with Stochastic Multiplicative Noises
    Ren, Junhao
    Zong, Xiaofeng
    Journal of Systems Science and Complexity, 2022, 35 (03): : 909 - 930
  • [42] Containment control of multi-agent systems in a noisy communication environment
    Wang, Yunpeng
    Cheng, Long
    Hou, Zeng-Guang
    Tan, Min
    Wang, Ming
    AUTOMATICA, 2014, 50 (07) : 1922 - 1928
  • [43] Containment control for multi-agent systems with fractional Brownian motion
    Mo, Lipo
    Yuan, Xiaolin
    Yu, Yongguang
    APPLIED MATHEMATICS AND COMPUTATION, 2021, 398
  • [44] Resilient Containment Control for Multi-agent Systems with Packet Dropouts
    Chen, Wei
    Ding, Derui
    Zhang, Sunjie
    Liu, Shuai
    2018 37TH CHINESE CONTROL CONFERENCE (CCC), 2018, : 6800 - 6805
  • [45] Sampled containment control for multi-agent systems with nonlinear dynamics
    Wang, Yan
    Zhou, Hong
    Wang, Zhenhua
    Liu, Zhi-Wei
    Hu, Wenshan
    NEUROCOMPUTING, 2017, 219 : 242 - 247
  • [46] Output Containment Control of Heterogeneous Linear Multi-Agent Systems
    Li, Shaobao
    Joo, Meng
    Lai, Woen Yon
    Zhang, Jie
    Luo, Xiaoyuan
    2016 14TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS AND VISION (ICARCV), 2016,
  • [47] Distributed containment control of singular heterogeneous multi-agent systems
    Zhang, Xuxi
    Liu, Xianping
    Feng, Zhiguang
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2020, 357 (03): : 1378 - 1399
  • [48] Containment Control of Multi-Agent Systems with Stochastic Multiplicative Noises
    Junhao Ren
    Xiaofeng Zong
    Journal of Systems Science and Complexity, 2022, 35 : 909 - 930
  • [49] Distributed optimal control for multi-agent systems with impulsive effects
    Chen, Lijuan
    Sun, Jitao
    IAENG International Journal of Applied Mathematics, 2019, 49 (01)
  • [50] Asynchronous Distributed Model Predictive Control for Multi-Agent Systems
    Mi, Xiaoxiao
    Liao, Yuanjiang
    Zeng, Hongzheng
    IEEE ACCESS, 2025, 13 : 9592 - 9605