• DocumentCode
    630857
  • Title

    Finite abstractions of nonautonomous Max-Plus-Linear systems

  • Author

    Adzkiya, Dieky ; De Schutter, Bart ; Abate, Alessandro

  • Author_Institution
    Delft Center for Syst. & Control, Delft Univ. of Technol., Delft, Netherlands
  • fYear
    2013
  • fDate
    17-19 June 2013
  • Firstpage
    4387
  • Lastpage
    4392
  • Abstract
    This work puts forward a technique to generate finite abstractions of nonautonomous Max-Plus-Linear (MPL) models, a known class of discrete-event systems characterizing the timing related to event counters. Nonautonomous models embed an external input (namely a nondeterministic choice, regarded as an exogenous control signal) in the dynamics. Abstractions are characterized as finite-state Labeled Transition Systems (LTS). LTS are obtained first by partitioning the state space of the MPL model and by associating states of the LTS to the introduced partitions, then by defining relations among the states of the LTS, corresponding to the dynamical (nonautonomous) transitions between the MPL state partitions, and finally by labeling the LTS edges according to the one-step timing properties related to the events of the original MPL model. In order to establish formal equivalences, the finite LTS abstraction is proven either to simulate or to bisimulate the original MPL model. The computational performance of the abstraction procedure is tested on a numerical benchmark. The approach enables the study of properties of the original MPL model by verifying equivalent specifications over the finite LTS abstraction.
  • Keywords
    discrete event systems; state-space methods; discrete-event system; finite LTS abstraction procedure; finite-state labeled transition system; nonautonomous max-plus-linear system; one-step timing property; state space partition; Benchmark testing; Computational modeling; Labeling; Partitioning algorithms; Radio frequency; Timing; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2013
  • Conference_Location
    Washington, DC
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4799-0177-7
  • Type

    conf

  • DOI
    10.1109/ACC.2013.6580515
  • Filename
    6580515