• DocumentCode
    3322341
  • Title

    Time windows: an approach to automated abstraction of continuous-time models into discrete-event models

  • Author

    Wang, Qingsu ; Cellier, Francois E.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Arizona Univ., Tucson, AZ, USA
  • fYear
    1990
  • fDate
    26-27 Mar 1990
  • Firstpage
    204
  • Lastpage
    211
  • Abstract
    The automated generation of time windows from continuous system simulation models is described. Time windows can be used to automatically generate equivalent discrete-event models at a coarser granularity level and they are also instrumental to the design of event-based control systems. The generation of time windows represents one facility in the knowledge-based multifaceted modeling and simulation environment DEVS/Scheme. In this environment, continuous-time and discrete-event models can coexist, and they can be amalgamated with AI techniques. The usefulness of these concepts is demonstrated by means of a model of a robot controlled fluid handling laboratory for space station Freedom to be used for research in life sciences, microgravity sciences and space medicine
  • Keywords
    control engineering computing; digital simulation; knowledge based systems; natural sciences computing; robots; AI techniques; automated abstraction; automated generation; continuous system simulation models; continuous-time models; discrete-event models; equivalent discrete-event models; event-based control systems; granularity level; knowledge-based multifaceted modeling; life sciences; microgravity sciences; robot controlled fluid handling laboratory; simulation environment DEVS/Scheme; space medicine; space station Freedom; time windows; Artificial intelligence; Automatic generation control; Continuous time systems; Control system synthesis; Instruments; Laboratories; Medical robotics; Orbital robotics; Robot control; Space stations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    AI, Simulation and Planning in High Autonomy Systems, 1990., Proceedings.
  • Conference_Location
    Tucson, AZ
  • Print_ISBN
    0-8186-2043-9
  • Type

    conf

  • DOI
    10.1109/AIHAS.1990.93936
  • Filename
    93936