• DocumentCode
    2571275
  • Title

    Optimizing formation rigidity under connectivity constraints

  • Author

    Kim, Yanghyun ; Zhu, Guangwei ; Hu, Jianghai

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
  • fYear
    2010
  • fDate
    15-17 Dec. 2010
  • Firstpage
    6590
  • Lastpage
    6595
  • Abstract
    This paper studies the problem of finding the most rigid formation for a multi-agent system. The worst-case rigidity index (WRI) and the mean rigidity index (MRI) are proposed as the quantitative measures of formation rigidity. From a practical point of view, the values of these indices characterize the stability and robustness of the multi-agent system in maintaining a given formation. An iterative algorithm is presented for finding the most rigid formation through the joint optimization of both the positions of agents and their connection topology. The effectiveness of the algorithm is illustrated through numerical examples.
  • Keywords
    iterative methods; multi-robot systems; position control; agent position; connectivity constraints; formation rigidity optimization; iterative algorithm; mean rigidity index; multi-agent system; worst-case rigidity index; Equations; Indexes; Magnetic resonance imaging; Optimization; Springs; Switches; Topology; formation control; graph rigidity; optimization; wireless sensor network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2010 49th IEEE Conference on
  • Conference_Location
    Atlanta, GA
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4244-7745-6
  • Type

    conf

  • DOI
    10.1109/CDC.2010.5717347
  • Filename
    5717347