DocumentCode
315347
Title
Identification, modeling and control by means of Takagi-Sugeno fuzzy systems
Author
Bortolet, Pascal ; Palm, Rainer
Author_Institution
Lab. d´´Analyse et d´´Archit. des Syst., Toulouse, France
Volume
1
fYear
1997
fDate
1-5 Jul 1997
Firstpage
515
Abstract
This paper deals with the development of Takagi-Sugeno fuzzy models and controllers for monovariable nonlinear systems. An original method is presented to model specific nonlinear phenomena, like friction effects in mechanical systems, from experimental data. The identification of the fuzzy model is done by a new partitioning method where the state space is identified subspace by subspace separately. The identified fuzzy model is used for control especially to compensate nonlinear effects
Keywords
friction; fuzzy control; identification; nonlinear control systems; state-space methods; Takagi-Sugeno fuzzy models; Takagi-Sugeno fuzzy systems; friction effects; mechanical systems; monovariable nonlinear systems; nonlinear phenomena; partitioning method; state space; Control system synthesis; Control systems; Differential equations; Friction; Fuzzy control; Fuzzy systems; Nonlinear control systems; Nonlinear systems; State-space methods; Takagi-Sugeno model;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 1997., Proceedings of the Sixth IEEE International Conference on
Conference_Location
Barcelona
Print_ISBN
0-7803-3796-4
Type
conf
DOI
10.1109/FUZZY.1997.616420
Filename
616420
Link To Document