• DocumentCode
    250641
  • Title

    A linear approach to formation control under directed and switching topologies

  • Author

    Lili Wang ; Zhimin Han ; Zhiyun Lin ; Minyue Fu

  • Author_Institution
    State Key Lab. of Ind. Control Technol., Zhejiang Univ., Hangzhou, China
  • fYear
    2014
  • fDate
    May 31 2014-June 7 2014
  • Firstpage
    3595
  • Lastpage
    3600
  • Abstract
    The paper studies the formation control problem for distributed robot systems. It is assumed each robot only has access to local sensing information (i.e. the relative positions and IDs of its neighbors). Taking into consideration physical sensing constraints (e.g. limited sensing range) and the motion of the robots over time, it may be noted that the sensing graph for the system is directed and time-varying. This presents a challenging situation for formation control. As an initiative attempt to study this challenging situation, we suppose the sensing graph switches among a family of graphs with certain connectivity properties, under which a switching linear control law is then proposed. We show that for arbitrary dwell times or average dwell times, the proposed control law with properly designed control parameters can ensure global convergence to a desired formation shape. The proposed formation control law can be implemented in a distributed manner while the design of certain control parameters requires some global information.
  • Keywords
    convergence; graph theory; linear systems; mobile robots; position control; time-varying systems; average dwell time; connectivity property; control parameters; directed topology; distributed robot system; formation control law; formation shape; global convergence; global information; limited sensing range; local sensing information; physical sensing constraints; sensing graph; switching linear control law; switching topology; time-varying system; Robot kinematics; Robot sensing systems; Shape; Switches;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2014 IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Type

    conf

  • DOI
    10.1109/ICRA.2014.6907378
  • Filename
    6907378