• DocumentCode
    1637790
  • Title

    Stochastic complexity, selftuning and optimality

  • Author

    Gerencsér, László ; Van Schuppen, Jan H. ; Rissanen, Jorma ; Vágó, Zsuzsanna

  • Author_Institution
    Comput. & Autom. Inst., Acad. of Sci., Budapest, Hungary
  • Volume
    1
  • fYear
    1994
  • Firstpage
    652
  • Abstract
    The effect of parameter uncertainty on control performance is considered in the case of a minimum-variance selftuning regulator using the theory of stochastic complexity
  • Keywords
    computational complexity; linear systems; self-adjusting systems; stochastic systems; minimum-variance selftuning regulator; optimality; stochastic complexity; Adaptive control; Inference algorithms; Mathematics; Performance analysis; Petroleum; Recursive estimation; Regulators; Stability; Stochastic processes; Tellurium;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1994., Proceedings of the 33rd IEEE Conference on
  • Conference_Location
    Lake Buena Vista, FL
  • Print_ISBN
    0-7803-1968-0
  • Type

    conf

  • DOI
    10.1109/CDC.1994.410969
  • Filename
    410969
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1637790