静的非線形奇関数をもつ Hammerstein モデルの同定  [in Japanese] Identification of a Hammerstein Model Equipped with a Static Nonlinear Odd Function  [in Japanese]

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Author(s)

    • 田中 秀幸 TANAKA Hideyuki
    • 京都大学 大学院 情報学研究科 Department of Applied Mathematics and Physics, Graduate School of Engineering, Kyoto University
    • 葉末 俊介 HAZUE Shunsuke
    • 京都大学 大学院 情報学研究科 Department of Applied Mathematics and Physics, Graduate School of Engineering, Kyoto University

Abstract

This paper studies a procedure for identifying a Hammerstein model equipped with a static nonlinear odd function, where the only output is measured and the input is white Gaussian. A statistical property of the process generated by the static nonlinear odd function with a white Gaussian input is analyzed by means of a moment generating function. A proposed procedure for identifying the Hammerstein model consists of two steps : The first step is to identify the linear dynamical part via a stochastic subspace identification method based on a block LQ-decomposition; the second step is to estimate the static nonlinear odd function by using distribution functions. Numerical simulation results are also included.

Journal

  • Transactions of the Institute of Systems, Control and Information Engineers

    Transactions of the Institute of Systems, Control and Information Engineers 20(11), 430-438, 2007-11-15

    THE INSTITUTE OF SYSTEMS, CONTROL AND INFORMATION ENGINEERS (ISCIE)

References:  24

Cited by:  1

Codes

  • NII Article ID (NAID)
    10020212416
  • NII NACSIS-CAT ID (NCID)
    AN1013280X
  • Text Lang
    JPN
  • Article Type
    Journal Article
  • ISSN
    13425668
  • NDL Article ID
    9260686
  • NDL Source Classification
    ZM11(科学技術--科学技術一般--制御工学)
  • NDL Call No.
    Z14-195
  • Data Source
    CJP  CJPref  NDL  J-STAGE 
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