• DocumentCode
    2759086
  • Title

    Identification of complex systems in the basis of wavelets

  • Author

    Shaydurov, Alexander

  • Author_Institution
    McGill Univ., Montreal, Que.
  • fYear
    2005
  • fDate
    1-4 May 2005
  • Firstpage
    782
  • Lastpage
    785
  • Abstract
    In this paper is proposed the method of the identification of complex dynamic systems. Method can be used for the identification of linear and nonlinear complex dynamic systems for the determined or stochastic signals at the inputs and the outputs. It is proposed to use a basis of wavelets for obtaining the impulse transient function (ITF) of system. ITF is considered in the form of surface in the 3D space. Are given the results of experiments on the identification of systems in the basis of wavelets
  • Keywords
    signal processing; stochastic processes; wavelet transforms; complex system identification; impulse transient function; nonlinear complex dynamic systems; stochastic signals; Frequency; Linear systems; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear equations; Power generation economics; Signal processing; Stochastic systems; Time measurement; Wavelet analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering, 2005. Canadian Conference on
  • Conference_Location
    Saskatoon, Sask.
  • ISSN
    0840-7789
  • Print_ISBN
    0-7803-8885-2
  • Type

    conf

  • DOI
    10.1109/CCECE.2005.1557045
  • Filename
    1557045