Prescribed-time containment control of multi-agent systems subject to collision avoidance and connectivity maintenance

被引:5
作者
Tang, Chengmei [1 ,2 ]
Ji, Lianghao [1 ,2 ]
Yang, Shasha [1 ,2 ]
Guo, Xing [2 ]
Li, Huaqing [3 ]
机构
[1] Chongqing Univ Posts & Telecommun, Chongqing Key Lab Image Cognit, Chongqing 400065, Peoples R China
[2] Chongqing Univ Posts & Telecommun, Sch Comp Sci & Technol, Chongqing 400065, Peoples R China
[3] Southwest Univ, Coll Elect & Informat Engn, Chongqing 400715, Peoples R China
基金
中国国家自然科学基金;
关键词
Multiple leader-follower systems; Collision avoidance; Connectivity maintenance; Prescribed-time containment control; Multi-agent systems; FINITE-TIME; TRACKING CONTROL; CONSENSUS TRACKING; SUFFICIENT CONDITIONS; OBSERVER;
D O I
10.1016/j.isatra.2024.03.002
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, the problem of prescribed -time containment control for a second -order multiple leader-follower systems (MLFSs) is studied, in where both collision avoidance and connectivity maintenance of the agents are considered. Firstly, an effective exponential potential field function (EAPF) with constraints based on the estimated distance is designed to achieve collision resistance and connectivity preservation of the agents at a prescribed -time. Secondly, an estimator -based distributed control protocol is proposed, which drives the agents to achieve containment control in a cooperative manner at a prescribed -time. Furthermore, a novel distributed control protocol containing a collision avoidance term and a containment control term is addressed as well, which enables all followers to complete collision avoidance and connectivity maintenance in any prescribedtime and enter the leaders' convex packet. Finally, the stability of the system is technically analyzed by using Lyapunov theory, and the effectiveness of the presented strategies is verified by several simulations.
引用
收藏
页码:156 / 168
页数:13
相关论文
共 48 条
  • [1] Control Barrier Function Based Quadratic Programs for Safety Critical Systems
    Ames, Aaron D.
    Xu, Xiangru
    Grizzle, Jessy W.
    Tabuada, Paulo
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2017, 62 (08) : 3861 - 3876
  • [2] Event-Triggered Reference Governors for Collisions-Free Leader-Following Coordination Under Unreliable Communication Topologies
    An, Liwei
    Yang, Guang-Hong
    Deng, Chao
    Wen, Changyun
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2024, 69 (04) : 2116 - 2130
  • [3] Collisions-Free Distributed Optimal Coordination for Multiple Euler-Lagrangian Systems
    An, Liwei
    Yang, Guang-Hong
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2022, 67 (01) : 460 - 467
  • [4] KRONECKER PRODUCTS AND MATRIX CALCULUS IN SYSTEM THEORY
    BREWER, JW
    [J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS, 1978, 25 (09): : 772 - 781
  • [5] Observer-Based Adaptive Backstepping Consensus Tracking Control for High-Order Nonlinear Semi-Strict-Feedback Multiagent Systems
    Chen, C. L. Philip
    Wen, Guo-Xing
    Liu, Yan-Jun
    Liu, Zhi
    [J]. IEEE TRANSACTIONS ON CYBERNETICS, 2016, 46 (07) : 1591 - 1601
  • [6] Prescribed-Time Event-Triggered Bipartite Consensus of Multiagent Systems
    Chen, Xia
    Yu, Hao
    Hao, Fei
    [J]. IEEE TRANSACTIONS ON CYBERNETICS, 2022, 52 (04) : 2589 - 2598
  • [7] Finite-time convergent gradient flows with applications to network consensus
    Cortés, Jorge
    [J]. AUTOMATICA, 2006, 42 (11) : 1993 - 2000
  • [8] Fixed-time coordinated tracking for second-order multi-agent systems with bounded input uncertainties
    Fu, Junjie
    Wang, Jinzhi
    [J]. SYSTEMS & CONTROL LETTERS, 2016, 93 : 1 - 12
  • [9] Ge SY, 2019, CHIN AUTOM CONGR, P945, DOI [10.1109/cac48633.2019.8996401, 10.1109/CAC48633.2019.8996401]
  • [10] Finite-time adaptive formation control for multi-agent systems with uncertainties under collision avoidance and connectivity maintenance
    He, XiaoYan
    Wang, QingYun
    Hao, YuQing
    [J]. SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2020, 63 (11) : 2305 - 2314