Containment control of multi-agent systems via a disturbance observer-based approach

被引:40
|
作者
Han, Tao [1 ,2 ]
Li, Juan [3 ]
Guan, Zhi-Hong [1 ]
Cai, Chang-Xin [4 ]
Zhang, Ding-Xue [5 ]
He, Ding-Xin [1 ]
机构
[1] Huazhong Univ Sci & Technol, Coll Automat, Wuhan 430074, Hubei, Peoples R China
[2] Hubei Normal Univ, Coll Mechatron & Control Engn, Huangshi 435002, Peoples R China
[3] Zhongnan Univ Econ & Law, Sch Stat & Math, Wuhan 430073, Hubei, Peoples R China
[4] Yangtze Univ, Sch Elect & Informat, Jingzhou 434023, Peoples R China
[5] Yangtze Univ, Petr Engn Coll, Jingzhou 434023, Peoples R China
基金
中国国家自然科学基金;
关键词
TRACKING CONTROL; CONSENSUS; LEADER; SYNCHRONIZATION; ALGORITHMS; REJECTION; FLOCKING; NETWORKS; DYNAMICS;
D O I
10.1016/j.jfranklin.2019.01.034
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 deals with the containment control problem for multi-agent systems with exogenous disturbances. A disturbance observer-based control approach is employed to estimate the disturbances generated by an exogenous system. Consequently, distributed disturbance observer-based containment control protocols are proposed by using the state feedback control and the output feedback control, respectively. Furthermore, with the help of algebraic graph theory and Lyapunov stability theory, sufficient conditions are established to ensure that multi-agent systems with exogenous disturbances can achieve containment control via the disturbance observer-based approach. Finally, the effectiveness of our theoretical results is verified by providing numerical simulation examples. (C) 2019 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:2919 / 2933
页数:15
相关论文
共 50 条
  • [1] Nonfragile containment control of nonlinear multi-agent systems via a disturbance observer-based approach
    Zhou, Tuo
    Liu, Quanli
    Wang, Wei
    [J]. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2024, 34 (06) : 3726 - 3741
  • [2] Distributed Disturbance Observer-Based Containment Control of Multi-Agent Systems via an Event-Triggered Approach
    Jian, Long
    Lv, Yongfeng
    Li, Rong
    Kou, Liwei
    Zhang, Gengwu
    [J]. MATHEMATICS, 2023, 11 (10)
  • [3] Bipartite containment of descriptor multi-agent systems via an observer-based approach
    Han, Tao
    Xiao, Bo
    Zhan, Xi-Sheng
    Yan, Huaicheng
    [J]. IET CONTROL THEORY AND APPLICATIONS, 2020, 14 (19): : 3047 - 3051
  • [4] Observer-based Finite-time Containment Control for Nonlinear Multi-agent Systems with Mismatched Disturbance
    Chen, Ke
    Yan, Fei
    Li, Jun
    [J]. 2022 41ST CHINESE CONTROL CONFERENCE (CCC), 2022, : 4466 - 4471
  • [5] Disturbance Observer-Based Fuzzy Adaptive Containment Control of Nonlinear Multi-agent Systems with Input Quantization
    Zan Li
    Yingnan Pan
    Jingmin Ma
    [J]. International Journal of Fuzzy Systems, 2022, 24 : 574 - 586
  • [6] Disturbance Observer-Based Fuzzy Adaptive Containment Control of Nonlinear Multi-agent Systems with Input Quantization
    Li, Zan
    Pan, Yingnan
    Ma, Jingmin
    [J]. INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, 2022, 24 (01) : 574 - 586
  • [7] Observer-Based Robust Containment Control of Multi-agent Systems With Input Saturation
    Qian, Juan
    Wang, Xiaoling
    Jiang, Guo-Ping
    Su, Housheng
    [J]. PROCEEDINGS OF THE 39TH CHINESE CONTROL CONFERENCE, 2020, : 771 - 776
  • [9] Non-Fragile Disturbance Observer-Based Containment Control of Multi-Agent Systems over Switching Topologies
    Zhou, Tuo
    Liu, Quanli
    Wang, Wei
    [J]. IEEE Access, 2021, 9 : 123430 - 123437
  • [10] Non-Fragile Disturbance Observer-Based Containment Control of Multi-Agent Systems Over Switching Topologies
    Zhou, Tuo
    Liu, Quanli
    Wang, Wei
    [J]. IEEE ACCESS, 2021, 9 : 123430 - 123437