• DocumentCode
    83041
  • Title

    Supervisor Localization of Discrete-Event Systems Based on State Tree Structures

  • Author

    Kai Cai ; Wonham, W.M.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada
  • Volume
    59
  • Issue
    5
  • fYear
    2014
  • fDate
    May-14
  • Firstpage
    1329
  • Lastpage
    1335
  • Abstract
    Recently we developed supervisor localization, a top-down approach to distributed control of discrete-event systems in the Ramadge-Wonham supervisory control framework. Its essence is the decomposition of monolithic (global) control action into local control strategies for individual agents. In this technical note, we establish a counterpart localization theory in the framework of State Tree Structures, known to be efficient for control design of very large systems. We prove that the collective localized control behavior is identical to the monolithic optimal (i.e. maximally permissive) and nonblocking controlled behavior. Further, we propose a new and more efficient localization algorithm which exploits BDD computation.
  • Keywords
    binary decision diagrams; discrete event systems; distributed control; multi-robot systems; optimal control; trees (mathematics); BDD computation; Ramadge-Wonham supervisory control framework; binary decision diagram; collective localized control behavior; counterpart localization theory; discrete-event systems; distributed control; individual agents; local control strategies; monolithic control action decomposition; monolithic optimal controlled behavior; nonblocking controlled behavior; state tree structures; supervisor localization; top-down approach; Algorithm design and analysis; Automata; Boolean functions; Data structures; Decentralized control; Discrete-event systems; Supervisory control; Binary decision diagram (BDD); discrete-event systems (DES); state tree structures (STS); supervisor localization;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.2013.2289033
  • Filename
    6656863