• DocumentCode
    2941027
  • Title

    System identification using frequency domain methodology

  • Author

    Buss, Arnold

  • Author_Institution
    John M. Olin Sch. of Bus., Washington Univ., St. Louis, MO, USA
  • fYear
    1990
  • fDate
    9-12 Dec 1990
  • Firstpage
    360
  • Lastpage
    363
  • Abstract
    A method for using the frequency domain methodology to identify a linear meta-model is proposed. This involves multiple frequency domain runs to eliminate the effect of gain. The method uses the Fourier transform of the output process, rather than the periodogram or smoothed periodgram estimators. The identification focuses on estimating the coefficients of the model, and is therefore similar in spirit to response surface methodology. The method is tested on two models, one with known structure and the other with unknown structure. The procedure does well as fitting the coefficients, including obtaining the correct sign
  • Keywords
    Fourier transforms; frequency-domain analysis; identification; Fourier transform; frequency domain methodology; gain; linear meta-model; model coefficients estimation; response surface methodology; sign; system identification; Autocorrelation; Fourier transforms; Frequency domain analysis; Frequency estimation; Jacobian matrices; Response surface methodology; Stochastic processes; Surface fitting; System identification; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference, 1990. Proceedings., Winter
  • Conference_Location
    New Orleans, LA
  • Print_ISBN
    0-911801-72-3
  • Type

    conf

  • DOI
    10.1109/WSC.1990.129541
  • Filename
    129541