Title :
LS-optimal fuzzy modelling and its application to pneumatic drives
Author :
Bernd, Thomas ; Kroll, Andreas ; Schwarz, Helmut
Author_Institution :
Dept. of Meas. & Control, Univ. of Duisburg, Duisburg, Germany
Abstract :
Modelling of systems with uncertain nonlinearities and little physical insight such as pneumatic drives is a domain of those black box models showing universal approximating capabilities such as fuzzy models. To obtain LMS optimal models some well-known and new optimization techniques (combining nonlinear with linear estimation methods for higher efficiency) are discussed and compared. For a numerical comparison the different approaches are applied to fuzzy modelling of a pneumatic drive.
Keywords :
fuzzy set theory; least mean squares methods; modelling; nonlinear estimation; optimisation; pneumatic drives; LMS optimal models; LS-optimal fuzzy modelling; linear estimation methods; mean least squares; nonlinear estimation methods; optimization techniques; pneumatic drives; uncertain nonlinearities; Atmospheric modeling; Computational modeling; Genetic algorithms; Least squares approximations; Mathematical model; Numerical models; Optimization; Fuzzy modelling; modelling; nonlinear identification; optimization; pneumatic systems;
Conference_Titel :
Control Conference (ECC), 1997 European
Conference_Location :
Brussels
Print_ISBN :
978-3-9524269-0-6
