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