• DocumentCode
    3160208
  • Title

    Identification of Wiener-type nonlinear systems by using M-sequence correlation method

  • Author

    Harada, Hiroshi ; Toyozawa, Yukio ; Kashiwagi, Hiroshi ; Yamaguchi, Teruo

  • Author_Institution
    Grad. Sch. of Sci. & Technol., Kumamoto Univ., Kumamoto
  • fYear
    2008
  • fDate
    20-22 Aug. 2008
  • Firstpage
    2666
  • Lastpage
    2669
  • Abstract
    Many classes of nonlinear systems can be represented by Volterra kernels. The authors have recently developed a method for identification of Volterra kernels of nonlinear systems by using M-sequence and correlation technique. In this paper, the authors propose a new method for identification of nonlinear mechanical systems by use of Volterra kernels. The nonlinear mechanical systems are approximated to a nonlinear vibrating system which consists of a mass, a dumper, a linear spring and nonlinear and springs. Then, the parameters, which represent the nonlinear springs are calculated by use of the Volterra kernels. From the results of computer simulation and experiment, the parameters that represent the nonlinear characteristics of the nonlinear mechanical systems can be identified by the proposed method.
  • Keywords
    Volterra equations; correlation methods; identification; nonlinear systems; stochastic processes; M-sequence correlation method; Volterra kernels; Wiener-type nonlinear systems; dumper; identification; nonlinear mechanical systems; nonlinear springs; nonlinear vibrating system; Computer simulation; Correlation; Kernel; Linear systems; Mathematical model; Mechanical systems; Nonlinear systems; Parameter estimation; Springs; System identification; Cross-correlation function; M-sequence; Nonlinear mechanical system; System identification; Volterra kernel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE Annual Conference, 2008
  • Conference_Location
    Tokyo
  • Print_ISBN
    978-4-907764-30-2
  • Electronic_ISBN
    978-4-907764-29-6
  • Type

    conf

  • DOI
    10.1109/SICE.2008.4655117
  • Filename
    4655117