DocumentCode :
697644
Title :
An improved discrete-time robust approach for constrained model predictive control
Author :
Cuzzola, Francesco A. ; Geromel, Jose C. ; Morari, Manfred
Author_Institution :
Autom. Control Lab., Swiss Fed. Inst. of Technol., Zurich, Switzerland
fYear :
2001
fDate :
4-7 Sept. 2001
Firstpage :
3759
Lastpage :
3764
Abstract :
In this paper we present a new technique to face the so-called constrained Model Predictive Control. The main advantage of this new approach with respect to other well-known techniques is represented by the reduced conservativeness. More precisely, the technique described in this paper can be applied to polytopic uncertain systems and is based on the use of several Lyapunov functions each one corresponding to a different vertex of the uncertainty´s polytope.
Keywords :
Lyapunov methods; discrete time systems; predictive control; robust control; uncertain systems; Lyapunov function; constrained model predictive control; discrete-time robust approach; polytopic uncertain system; Cost function; Lyapunov methods; Predictive control; Robustness; State feedback; Uncertain systems; Invariant Sets; Linear Matrix Inequalities; Model Predictive Control; State Feedback;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (ECC), 2001 European
Conference_Location :
Porto
Print_ISBN :
978-3-9524173-6-2
Type :
conf
Filename :
7076519
Link To Document :
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