DocumentCode
325193
Title
Noise rejection in parameters identification for piecewise linear fuzzy models
Author
Simani, S. ; Fantuzzi, C. ; Rovatti, R. ; Beghelli, S.
Author_Institution
Eng. Dept., Ferrara Univ., Italy
Volume
1
fYear
1998
fDate
4-9 May 1998
Firstpage
378
Abstract
The fuzzy model identification problem from noisy data is addressed. The piecewise linear fuzzy model structure is used as a nonlinear prototype for a multi-input, single-output unknown system. The consequent of the fuzzy model is identified using noisy data, e.g. collected from experiments on a real system. The identification procedure is formulated within the Frisch scheme, well established for linear systems, which has been modified and improved to be applied in fuzzy systems field
Keywords
fuzzy systems; multivariable systems; noise; parameter estimation; uncertain systems; Frisch scheme; multi-input single-output unknown system; noise rejection; noisy data; parameters identification; piecewise linear fuzzy models; Ear; Fuzzy systems; Least squares methods; Linear systems; Linearity; Noise reduction; Parameter estimation; Piecewise linear approximation; Piecewise linear techniques; Systems engineering and theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on
Conference_Location
Anchorage, AK
ISSN
1098-7584
Print_ISBN
0-7803-4863-X
Type
conf
DOI
10.1109/FUZZY.1998.687515
Filename
687515
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