Distributed rigid formation control algorithm for multi-agent systems

被引:8
|
作者
Cao, Hu [1 ,2 ]
Bai, Yongqiang [1 ]
Liu, Huagang [1 ,2 ]
机构
[1] Beijing Inst Technol, Sch Automat, Beijing 100081, Peoples R China
[2] Beijing Inst Technol, Beijing Key Lab Automat Control Syst, Beijing 100081, Peoples R China
关键词
Control systems; Programming and algorithm theory; Robots; Graph rigidity; Multi-agent systems; Gradient control; Formation control; Potential function; Flocking control; STABILIZATION;
D O I
10.1108/03684921211276819
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Purpose - Rigidity of formation is an important concept in multi-agent localization and control problems. The purpose of this paper is to design the control laws to enable the group to asymptotically exhibit the flocking motion while preserving the network rigidity at all times. Design/methodology/approach - The novel approach for designing control laws is derived from a smooth artificial potential function based on an undirected infinitesimally rigid formation which specifies the target formation. Then the potential function is used to specify a gradient control law, under which the original system then becomes an orderly infinitesimally rigid formation. Findings - The strong relationship between the stability of the target formation and the gradient control protocol are utilized to design the control laws which can be proved to make the target formation stable. However, the rigidity matrix is not utilized in the design of control law. Future research will mainly focus on formation control with the relationship of rigidity matrix. Originality/value - The value of this paper is focused on the control laws design and the control laws could enable the group to asymptotically exhibit the flocking motion while preserving the network rigidity at all times. Also the detailed simulations and experiments are given to prove that the novel approach is available.
引用
下载
收藏
页码:1650 / 1661
页数:12
相关论文
共 50 条
  • [21] DISTRIBUTED KALMAN FILTERS FOR RELATIVE FORMATION CONTROL OF MULTI-AGENT SYSTEMS
    van der Marel, Martijn
    Rajan, Raj Thilak
    2022 30TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO 2022), 2022, : 1422 - 1426
  • [22] Distributed coalition formation algorithm in multi-agent network
    School of Information Engineering, Yangzhou University, Yangzhou
    225127, China
    不详
    225009, China
    Kongzhi yu Juece Control Decis, 3 (536-540):
  • [23] Control of Multi-Agent Systems with Distributed Delay
    Marton, Lorinc
    IFAC PAPERSONLINE, 2023, 56 (02): : 8542 - 8547
  • [24] Distributed Computations and Control in Multi-Agent Systems
    Rice, Justin K.
    Verhaegen, Michel
    PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON AUTONOMOUS ROBOTS AND AGENTS, 2009, : 81 - 86
  • [25] Distributed encirclement control of multi-agent systems
    Duan Min
    Gao Hui
    Song Yong-Duan
    ACTA PHYSICA SINICA, 2014, 63 (14)
  • [26] Distributed encirclement control of multi-agent systems
    Dai, Mingxiang
    Lu, Wanting
    Gao, Hui
    2014 INTERNATIONAL CONFERENCE ON MECHATRONICS AND CONTROL (ICMC), 2014, : 1337 - 1341
  • [27] Distributed Encirclement Control of Multi-agent Systems
    Duan Min
    Song Yongduan
    2014 33RD CHINESE CONTROL CONFERENCE (CCC), 2014, : 1253 - 1258
  • [28] Distributed optimal formation shaping algorithm for multi-agent
    Hu C.-H.
    Wang J.-H.
    Hu, Chun-He (huchunhe@bjfu.edu.cn), 2004, Northeast University (33): : 2004 - 2008
  • [29] Distributed nonlinear H∞ control algorithm for multi-agent quadrotor formation flying
    Rekabi, Fatemeh
    Shirazi, Farzad A.
    Sadigh, Mohammad Jafar
    ISA TRANSACTIONS, 2020, 96 : 81 - 94
  • [30] Formation Control of Multi-Agent Systems With Switching Topologies: An ILC-Based Distributed Algorithm Design
    Meng, Deyuan
    Moore, Kevin L.
    2015 AMERICAN CONTROL CONFERENCE (ACC), 2015, : 4874 - 4879