• DocumentCode
    3168882
  • Title

    A parallel distributed coordination-by-constraint strategy for multi-agent networked systems

  • Author

    Tedesco, Francesco ; Casavola, Alessandro ; Garone, E.

  • Author_Institution
    Dipt. di Elettron., Inf. e Sist., Univ. degli Studi della Calabria, Rende, Italy
  • fYear
    2012
  • fDate
    10-13 Dec. 2012
  • Firstpage
    284
  • Lastpage
    289
  • Abstract
    In this paper a novel parallel distributed supervision strategy for networked interconnected linear systems is presented. We assume that such systems are locally regulated, possibly dynamically coupled and connected via data links. Pointwise-in-time coordination constraints on the evolutions of relevant system variables are present and need to be enforced during the overall system evolutions. The paper extends some recent results related to this coordination-by-constraint approach, achieved by resorting to Sequential Distributed Command Governor ideas. This novel parallel distributed strategy is fully described and analyzed and it is compared with earlier sequential strategies in the final example.
  • Keywords
    interconnected systems; multi-agent systems; parallel processing; data links; dynamically coupled systems; multiagent networked systems; networked interconnected linear systems; overall system evolutions; parallel distributed coordination-by-constraint strategy; pointwise-in-time coordination constraints; relevant system variables; sequential distributed command governor ideas; sequential strategies; Aggregates; Context; Joining processes; Mathematical model; Optimization; Switches; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
  • Conference_Location
    Maui, HI
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-2065-8
  • Electronic_ISBN
    0743-1546
  • Type

    conf

  • DOI
    10.1109/CDC.2012.6426287
  • Filename
    6426287