• DocumentCode
    2083677
  • Title

    New system identification technique using fuzzy regression analysis

  • Author

    Kaneyoshi, M. ; Tanaka, H. ; Kamei, M. ; Furuta, H.

  • Author_Institution
    Hitach Zosen Corp, Osaka, Japan
  • fYear
    1990
  • fDate
    3-5 Dec 1990
  • Firstpage
    528
  • Lastpage
    533
  • Abstract
    A system identification method is developed, in which measured field data are assumed to be fuzzy data and fuzzy regression analysis is applied to the process of system identification. Although the method includes fuzzy coefficients in the formulation, it can be solved without difficulty by using a linear programming algorithm. This fuzzy system identification method has been applied to the construction of a cable-stayed bridge, the Shugahara-Shirokita Bridge in Osaka, Japan. The results confirm that the system identification technique proposed is not only simple to handle but also very practical, compared with previous methods
  • Keywords
    fuzzy set theory; identification; mechanical engineering; Japan; Osaka; Shugahara-Shirokita Bridge; cable-stayed bridge; fuzzy coefficients; fuzzy regression analysis; linear programming; system identification technique; Bridges; Error analysis; Estimation error; Force measurement; Fuzzy systems; Linear programming; Modular construction; Power cables; Regression analysis; System identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Uncertainty Modeling and Analysis, 1990. Proceedings., First International Symposium on
  • Conference_Location
    College Park, MD
  • Print_ISBN
    0-8186-2107-9
  • Type

    conf

  • DOI
    10.1109/ISUMA.1990.151310
  • Filename
    151310