• DocumentCode
    2663899
  • Title

    Hybrid, quantitative and qualitative process simulation by the generic bi-layered net model

  • Author

    Csukás, Béla ; Bánkuti, Gyöngyi

  • Author_Institution
    Inst. of Math. & Inf. Technol., Univ. of Kaposvar, Hungary
  • fYear
    2003
  • fDate
    4-6 Sept. 2003
  • Firstpage
    283
  • Lastpage
    288
  • Abstract
    The idea of the direct computer mapping (DCM) of process models, and the recently developed generic, bilayered net (GBN) model have been introduced. The method gives a common framework for the simulation of the hybrid (discrete & continuous, quantitative & qualitative) conservation and information processes. The GBN/DCM framework makes possible a new interpretation of the information processes, as well as the development of model based parallel SW/HW architectures. The application of the simulation method for intelligent signal processing is illustrated by the example of the model based diagnostics and control of a simulated moving bed unit. This method is based on the use of the simplest process model of the weakly isomorphic network structure, which learns from the detailed simulation trials, continuously.
  • Keywords
    discrete event simulation; hybrid simulation; parallel architectures; signal processing; computer architectures; direct computer mapping; generic bilayered net model; generic simulation; hybrid process simulation; information processes; intelligent signal processing; model-based diagnostics; simulated moving bed unit; weak isomorphic network structure; Analytical models; Biological system modeling; Chemical elements; Computational modeling; Computer simulation; Mathematical model; Mathematics; Physics computing; Risk analysis; Scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Signal Processing, 2003 IEEE International Symposium on
  • Print_ISBN
    0-7803-7864-4
  • Type

    conf

  • DOI
    10.1109/ISP.2003.1275853
  • Filename
    1275853