• DocumentCode
    3538745
  • Title

    Local formation control strategies with undetermined and determined formation scales for co-leader vehicle networks

  • Author

    Zhimin Han ; Lili Wang ; Zhiyun Lin

  • Author_Institution
    State Key Lab. of Ind. Control Technol., Zhejiang Univ., Hangzhou, China
  • fYear
    2013
  • fDate
    10-13 Dec. 2013
  • Firstpage
    7339
  • Lastpage
    7344
  • Abstract
    This paper studies the formation maneuvering problem, in which a group of agents achieves formations with flexible or controlled scales and follows two leaders in the network. Relative positions of neighbors are assumed to be sensed, which constitute a sensing graph, while another graph, called communication graph, exists to exchange estimate information of the leaders´s velocity. A distributed local control strategy is then proposed to achieve the desired task, in which each agent responds to nearby agents in the sensing graph for shape control and synchronizes its velocity to its neighbors in the communication graph. Moreover, suppose the scale of the desired formation is known to two leaders of the network. Then we show that the team of agents can achieve rigid formations with determined scales regulated by the two leaders. Input-to-state stability analysis is recalled to show such asymptotic behaviors.
  • Keywords
    asymptotic stability; directed graphs; distributed control; input-output stability; mobile robots; motion control; multi-robot systems; position control; synchronisation; velocity control; MAS; asymptotic behaviors; coleader vehicle networks; communication graph; determined formation scales; distributed local control strategy; estimate information exchange; formation maneuvering problem; input-to-state stability analysis; local formation control strategies; multiagent systems; sensing graph; shape control; undetermined formation scales; velocity synchronization; Asymptotic stability; Eigenvalues and eigenfunctions; Laplace equations; Sensors; Shape control; Synchronization; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
  • Conference_Location
    Firenze
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-5714-2
  • Type

    conf

  • DOI
    10.1109/CDC.2013.6761054
  • Filename
    6761054