Title :
Generalized predictive control using Takagi-Sugeno fuzzy models
Author :
Hadjili, Mohamed Laid ; Wertz, Vincent
Author_Institution :
Centre for Syst. Eng. & Appl. Mech., Univ. Catholique de Louvain, Belgium
Abstract :
Predictive control was first developed to control linear time invariant plants described by ARIMAX models. The extension of this control strategy to the case when the behavior of the plant is nonlinear and modeled by a Takagi-Sugeno fuzzy model is considered. This kind of nonlinear model is locally linear and the GPC technique can be extended as a parallel distributed controller
Keywords :
fuzzy control; fuzzy logic; fuzzy set theory; identification; nonlinear control systems; predictive control; ARIMAX models; Takagi-Sugeno fuzzy model; Takagi-Sugeno fuzzy models; generalized predictive control; nonlinear model; parallel distributed controller; Design methodology; Distributed control; Finite impulse response filter; Fuzzy control; Fuzzy sets; Fuzzy systems; Predictive control; Predictive models; Systems engineering and theory; Takagi-Sugeno model;
Conference_Titel :
Intelligent Control/Intelligent Systems and Semiotics, 1999. Proceedings of the 1999 IEEE International Symposium on
Conference_Location :
Cambridge, MA
Print_ISBN :
0-7803-5665-9
DOI :
10.1109/ISIC.1999.796689
