Coverage control of multi-agent systems for ergodic exploration

被引:0
|
作者
Chen, Zhulei [1 ]
Xiao, Li [1 ]
Wang, Qi [1 ]
Wang, Zhuo [1 ]
Sun, Zhigang [1 ]
机构
[1] Huazhong Univ Sci & Technol, Key Lab Imaging Proc & Intelligence Control, Sch Artificial Intelligence & Automat, Wuhan 430074, Peoples R China
关键词
ergodic theory; area coverage; multi-agent system; leader-follower control; artificial potential field;
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
In this paper, according to the ergodic theory, the ergodic metric is defined as the distance of the time average statistics of the agent's trajectories from the spatial distribution probability of the terrain. The feedback control law of the agent's dynamic is designed using the ergodic metric to achieve uniform or non-uniform coverage of a given area. At the same time, in order to expand the detection range, and obtain more complete and accurate environmental information and performed different types of tasks, the multi-agent system covers in the form of formation, and can adapt to move along the boundary. In this paper, the combination of the leader-follower method and the artificial potential field method are used to control the formation of a multi-agent system.
引用
收藏
页码:4947 / 4952
页数:6
相关论文
共 50 条
  • [1] Multi-Agent Ergodic Coverage with Obstacle Avoidance
    Salman, Hadi
    Ayvali, Elif
    Choset, Howie
    [J]. TWENTY-SEVENTH INTERNATIONAL CONFERENCE ON AUTOMATED PLANNING AND SCHEDULING, 2017, : 242 - 249
  • [2] Multi-Agent Ergodic Coverage in Urban Environments
    Patel, Shivang
    Hariharan, Senthil
    Dhulipala, Pranav
    Lin, Ming C.
    Manocha, Dinesh
    Xu, Huan
    Otte, Michael
    [J]. 2021 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA 2021), 2021, : 8764 - 8771
  • [3] Safe Coverage Control for Multi-agent Systems
    Siri, Fidelia Chaitra
    Bai, Yang
    Svinin, Mikhail
    [J]. 2023 62ND ANNUAL CONFERENCE OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS, SICE, 2023, : 1394 - 1399
  • [4] Supervised coverage control of multi-agent systems
    Atinc, Goekhan M.
    Stipanovic, Dusan M.
    Voulgaris, Petros G.
    [J]. AUTOMATICA, 2014, 50 (11) : 2936 - 2942
  • [5] Decentralized Trajectory Optimization for Multi-Agent Ergodic Exploration
    Gkouletsos, Dimitris
    Iannelli, Andrea
    Hudoba de Badyn, Mathias
    Lygeros, John
    [J]. IEEE ROBOTICS AND AUTOMATION LETTERS, 2021, 6 (04) : 6329 - 6336
  • [6] Path planning and formation control for multi-agent system using ergodic exploration
    Chen, Zhulei
    Xiao, Li
    Wang, Qi
    Wang, Zhuo
    Sun, Zhigang
    [J]. 2020 IEEE 18TH INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN), VOL 1, 2020, : 200 - 205
  • [7] Coverage control of multi-agent systems with different entry times
    Ma, Longbiao
    He, Fenghua
    [J]. TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2019, 41 (11) : 2985 - 2996
  • [8] Decentralized Coverage Control for Multi-Agent Systems with Nonlinear Dynamics
    Dirafzoon, Alireza
    Menhaj, Mohammad Bagher
    Afshar, Ahmad
    [J]. IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2011, E94D (01): : 3 - 10
  • [9] Coverage Control on Multi-Agent System
    Ananto, Pramudya
    Saifussalam, Muhammad
    Inovan, Reka
    Iswanto
    Cahyadi, Adha Imam
    [J]. 2016 6TH INTERNATIONAL ANNUAL ENGINEERING SEMINAR (INAES), 2016, : 37 - 41
  • [10] Multi-Agent Systems Coverage Control in Mixed-Dimensional and Hybrid
    Liu, Tairan
    Velni, Javad Mohammadpour
    [J]. IFAC PAPERSONLINE, 2021, 54 (20): : 765 - 770