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
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