• DocumentCode
    2204173
  • Title

    Interpolation method of nonlinear dynamical systems identification based on volterra model in frequency domain

  • Author

    Pavlenko, Vitaliy ; Pavlenko, Sergei ; Speranskyy, Viktor

  • Author_Institution
    ICS, Odessa Nat. Polytech. Univ., Odessa, Ukraine
  • fYear
    2013
  • fDate
    12-14 Sept. 2013
  • Firstpage
    173
  • Lastpage
    178
  • Abstract
    The accuracy of the interpolation method of nonlinear dynamical systems identification based on the Volterra model in the frequency domain is studied in this paper. To extract the n-th partial component in the response of the system to the test signal the n-th partial derivative of the response using the test signal amplitude is found and its value is taken at zero. The polyharmonic signals are used as the test ones. The algorithmic and software toolkit in Matlab is developed for identification processes. This toolkit is used for constructing the informational model of test system. The model is built as a first, second and third order amplitude-frequency and phase-frequency characteristics. The comparison of obtained characteristics with previous works is given.
  • Keywords
    Volterra series; frequency-domain analysis; identification; interpolation; nonlinear dynamical systems; signal processing; Volterra model; amplitude-frequency characteristics; frequency domain; informational model; interpolation method; nonlinear dynamical system identification; partial derivative; phase-frequency characteristics; polyharmonic signal; test signal amplitude; Frequency control; Harmonic analysis; Interpolation; Kernel; Mathematical model; Nonlinear dynamical systems; Object recognition; Volterra models; communication channels; identification; multifrequency characteristics; nonlinear dynamic systems; polyharmonic signals;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), 2013 IEEE 7th International Conference on
  • Conference_Location
    Berlin
  • Print_ISBN
    978-1-4799-1426-5
  • Type

    conf

  • DOI
    10.1109/IDAACS.2013.6662664
  • Filename
    6662664