• DocumentCode
    2952692
  • Title

    Chaotic and stochastic processes: Markov modeling approach

  • Author

    Arkov, Valentin Y. ; Kulikov, Gennady G. ; Breikin, Timofei V. ; Patel, Vijay C.

  • Author_Institution
    Inst. of Mech., Acad. of Sci., Ufa, Russia
  • Volume
    3
  • fYear
    1997
  • fDate
    27-29 Aug 1997
  • Firstpage
    488
  • Abstract
    This paper focuses on a modeling approach being investigated for chaotic and stochastic dynamic systems. A novel approach of applying Markov chains to these systems is proposed. Equivalent transformation from the Markov model to a parametric model is also discussed
  • Keywords
    Markov processes; chaos; probability; state-space methods; stochastic systems; Markov chains; Markov modeling approach; chaotic processes; chaotic systems; parametric model; stochastic dynamic systems; stochastic processes; Aircraft propulsion; Chaos; Control system synthesis; Engines; Hidden Markov models; Markov processes; Modeling; Process control; Stochastic processes; Turbines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control of Oscillations and Chaos, 1997. Proceedings., 1997 1st International Conference
  • Conference_Location
    St. Petersburg
  • Print_ISBN
    0-7803-4247-X
  • Type

    conf

  • DOI
    10.1109/COC.1997.626652
  • Filename
    626652
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2952692