Disturbance-observer-based distributed formation control for multi-agent systems with dynamic event-triggered mechanism

被引:0
作者
Gai, Wendong [1 ]
Zheng, Yuqi [1 ]
Yang, Yang [1 ]
Zhang, Guilin [1 ]
Zhang, Jing [1 ]
机构
[1] Shandong Univ Sci & Technol, Coll Elect Engn & Automat, Qingdao, Peoples R China
关键词
Multi-agent formation control; distributed formation control; dynamic event-triggered mechanism; disturbance observer;
D O I
10.1080/00207721.2025.2482857
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 study investigates the distributed formation control problem for a class of multi-agent systems (MASs) under the dynamic event-triggered mechanism. For the sake of enhancing communication efficiency, the dynamic event-triggered mechanism is employed for each agent to schedule the signal transmissions between the agent and its neighbours. The aim of this study is to design a dynamic event-triggered controller that is of a fully distributed form for the considered MASs such that the desired formation is achieved. First, a disturbance observer is employed to estimate the external noise disturbances. Then, a disturbance-observer-based distributed formation control method is proposed to achieve the desired formation of MASs, and the controller parameters are calculated by solving an algebraic Riccati equation (ARE). Subsequently, it is proven that the Zeno phenomenon can be prevented. Finally, the proposed control method is applied to a multi-unmanned aerial vehicle (multi-UAV) scenario, and numerical simulations are provided to show the effectiveness of the proposed method.
引用
收藏
页数:16
相关论文
共 21 条
  • [1] Fully Distributed Algorithms for Constrained Nonsmooth Optimization Problems of General Linear Multiagent Systems and Their Application
    Deng, Zhenhua
    Luo, Jin
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2024, 69 (02) : 1377 - 1384
  • [2] Dynamic Event-Triggered Control for Leader-Following Consensus of Multiagent Systems
    Du, Sheng-Li
    Liu, Tao
    Ho, Daniel W. C.
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2020, 50 (09): : 3243 - 3251
  • [3] Distributed Formation Maneuver Control Using Complex Laplacian
    Fang, Xu
    Xie, Lihua
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2024, 69 (03) : 1850 - 1857
  • [4] Reinforcement Learning for Joint Detection and Mapping Using Dynamic UAV Networks
    Guerra, Anna
    Guidi, Francesco
    Dardari, Davide
    Djuric, Petar M.
    [J]. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2024, 60 (03) : 2586 - 2601
  • [5] Observer-Based Event-Triggered Composite Anti-Disturbance Control for Multi-Agent Systems Under Multiple Disturbances and Stochastic FDIAs
    Guo, Xiang-Gui
    Zhang, Dong-Yu
    Wang, Jian-Liang
    Park, Ju H.
    Guo, Lei
    [J]. IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2023, 20 (01) : 528 - 540
  • [6] Novel Results on Output-Feedback LQR Design
    Ilka, Adrian
    Murgovski, Nikolce
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2023, 68 (09) : 5187 - 5200
  • [7] Fully distributed adaptive control for output consensus of uncertain discrete-time linear multi-agent systems
    Jiang, Yi
    Liu, Lu
    Feng, Gang
    [J]. AUTOMATICA, 2024, 162
  • [8] Dynamic event-based adaptive fuzzy nonsingular fixed-time output feedback consensus control for multi-agent systems
    Li, Muxuan
    Wang, Huanqing
    Qiao, Junfei
    [J]. INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2025, 56 (03) : 524 - 543
  • [9] Solving the Matrix Differential Riccati Equation: A Lyapunov Equation Approach
    Nguyen, Thang
    Gajic, Zoran
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2010, 55 (01) : 191 - 194
  • [10] Event-triggered communication and control of networked systems for multi-agent consensus
    Nowzari, Cameron
    Garcia, Eloy
    Cortes, Jorge
    [J]. AUTOMATICA, 2019, 105 : 1 - 27