Title :
Iterative fuzzy modeling of non-linear functions, application for the control of non-linear system
Author :
Passaquay, D. ; Bortolet, P. ; Boverie, S. ; Titli, A.
Author_Institution :
LAAS, Toulouse, France
fDate :
Aug. 31 1999-Sept. 3 1999
Abstract :
This paper presents an iterative method based on data to model non-linear functions in order to control non-linear dynamic systems. The fuzzy models obtained with this method are composed of a set of Takagi-Sugeno rules. The premise part of the rules uses fuzzy subsets with multidimensional membership functions.
Keywords :
fuzzy control; fuzzy set theory; iterative methods; multidimensional systems; nonlinear control systems; Takagi-Sugeno rules; fuzzy subsets; iterative fuzzy modeling; multidimensional membership functions; nonlinear dynamic system control; nonlinear functions; nonlinear system control; Atmospheric modeling; Data models; Engines; Fuels; Linear approximation; Mathematical model; Niobium; Fuzzy Modeling; Gasoline engine; Iterative method; Nonlinear system;
Conference_Titel :
Control Conference (ECC), 1999 European
Conference_Location :
Karlsruhe
Print_ISBN :
978-3-9524173-5-5
