• DocumentCode
    1474262
  • Title

    Approach for Transforming Linear Constraints on Petri Nets

  • Author

    Luo, Jiliang ; Nonami, Kenzo

  • Author_Institution
    Dept. of Control Sci. & Eng., Huaqiao Univ., Xiamen, China
  • Volume
    56
  • Issue
    12
  • fYear
    2011
  • Firstpage
    2751
  • Lastpage
    2765
  • Abstract
    An efficient supervisor synthesis method is proposed based on the constraint transformation, since enforcing a logic expression of linear constraints on Petri nets essentially involves finding admissible constraints. It consists of cooperative algorithms that are used to obtain the logic expression of constraints for any set of forbidden markings, to remove redundant constraints using the quantity information of constraints, to judge the existence of a permissive supervisor, to equivalently reduce multiple constraints into a single one using net structural properties, and to approach the admissible constraints from the original ones for ordinary Petri nets. These algorithms are derived from a series of theorems and lemmas presented to construct the theory of constraint transformation or reduction. In addition, the linear constraint, whose uncontrollable subnet is a forward-concurrent free net, can be equivalently transformed into an admissible linear constraint using this method.
  • Keywords
    Petri nets; constraint theory; control system synthesis; cooperative systems; discrete event systems; flexible manufacturing systems; Petri nets; constraint transformation theory; cooperative algorithms; forward-concurrent free net; lemmas; linear constraints; logic expression; supervisor synthesis method; Discrete event systems; Legged locomotion; Petri nets; Supervisory control; Discrete-event systems; Petri nets; forbidden states; linear constraints; supervisory control;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.2011.2128590
  • Filename
    5733369