• DocumentCode
    184372
  • Title

    Collective control objective and connectivity preservation for multi-robot systems with bounded input

  • Author

    Gasparri, Andrea ; Leccese, Antonio ; Sabattini, Lorenzo ; Ulivi, Giovanni

  • Author_Institution
    Dept. of Eng., Univ. of “Roma Tre”, Rome, Italy
  • fYear
    2014
  • fDate
    4-6 June 2014
  • Firstpage
    813
  • Lastpage
    818
  • Abstract
    In this work, we address the connectivity maintenance problem for a team of mobile robots which move according to a given collective control objective. In our framework, the interaction among the robots is limited by a given visibility radius both in terms of sensing and communication. For this scenario, we propose a bounded control law which can provably preserve the connectivity of the multi-robot system over time even in the presence of any desired bounded control objective. Furthermore, we characterize the effects of the connectivity control term on the collective control objective, in terms of robustness of the desired control objective to the disturbance of the connectivity, by resorting to the set Input-to-State Stability framework (set-ISS). For the validation of the proposed bounded connectivity control law we consider the encirclement problem as an example of collective control objective. Simulations are provided to corroborate the theoretical results.
  • Keywords
    mobile robots; multi-robot systems; stability; bounded connectivity control law; collective control objective; connectivity disturbance; connectivity maintenance problem; connectivity preservation; input-to-state stability framework; mobile robots; multirobot systems; set-ISS; Eigenvalues and eigenfunctions; Laplace equations; Maintenance engineering; Multi-robot systems; Robots; Upper bound; Vectors; Agents-based systems; Cooperative control; Decentralized control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2014
  • Conference_Location
    Portland, OR
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4799-3272-6
  • Type

    conf

  • DOI
    10.1109/ACC.2014.6859070
  • Filename
    6859070