DocumentCode :
3206606
Title :
The use of convex programming on fuzzy model based predictive control
Author :
Espinosa, Jairo ; Vandewalle, Joos
Author_Institution :
Katholieke Univ., Leuven, Belgium
fYear :
1999
fDate :
1999
Firstpage :
411
Lastpage :
416
Abstract :
Some key ideas about the use of fuzzy models in predictive control are presented. The discussion is extended to the use of interior point methods to solve the optimization problem in predictive control problems. The use of interior point methods opens the door to the formulation of robust optimization problems and by using this formulation a robust model predictive control strategy can be formulated. The paper shows such a formulation and explains how the Takagi-Sugeno description of a fuzzy model can be very efficient to formulate the uncertainties
Keywords :
convex programming; fuzzy control; nonlinear control systems; predictive control; quadratic programming; robust control; Takagi-Sugeno description; fuzzy model based predictive control; interior point methods; robust model predictive control strategy; robust optimization problems; Fuzzy control; Fuzzy systems; Nonlinear systems; Optimization methods; Predictive control; Predictive models; Quadratic programming; Robust control; Robustness; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control/Intelligent Systems and Semiotics, 1999. Proceedings of the 1999 IEEE International Symposium on
Conference_Location :
Cambridge, MA
ISSN :
2158-9860
Print_ISBN :
0-7803-5665-9
Type :
conf
DOI :
10.1109/ISIC.1999.796690
Filename :
796690
Link To Document :
بازگشت