• DocumentCode
    2159922
  • Title

    Entropy coding for Networked Controlled Systems

  • Author

    Canudas-de-Wit, Carlos ; Jaglin, Jonathan ; Crisanto Vega, Kelit

  • Author_Institution
    Dept. d´Autom. de Grenoble, GIPSA-Lab., Grenoble, France
  • fYear
    2007
  • fDate
    2-5 July 2007
  • Firstpage
    1211
  • Lastpage
    1218
  • Abstract
    The aim of this paper is to explore yet another variant of the Delta-Modulation Coding structure to improve data transmission efficiency in the context of Networked Controlled Systems. High compression rates can only be reached by the use of entropy coding. Entropy coding assigns some probability distribution to the events. In that way, the mean code length can be improved. The paper studies several issues resulting from this type of coding design and assets the stability properties needed for this type of coding to operate properly.
  • Keywords
    data communication; delta modulation; encoding; entropy codes; networked control systems; stability; statistical distributions; compression rates; data transmission efficiency; delta-modulation coding structure; entropy coding; networked controlled systems; probability distribution; stability properties; Context; Decoding; Detectors; Entropy coding; Equations; Receivers; Entropy coding; NCS; Networked controlled systems; quantized systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ECC), 2007 European
  • Conference_Location
    Kos
  • Print_ISBN
    978-3-9524173-8-6
  • Type

    conf

  • Filename
    7068508