DocumentCode :
2485389
Title :
Robustification of explicit predictive control laws
Author :
Olaru, Sorin ; Ayerbe, Pedro Rodríguez
Author_Institution :
Dept. of Autom. Control, Supelec, Gif-sur-Yvette
fYear :
2006
fDate :
13-15 Dec. 2006
Firstpage :
4556
Lastpage :
4561
Abstract :
This paper deals with the control laws based on parametric programming and concentrates on the a posteriori robustification of the resulting piecewise linear laws. The generalized predictive control case is studied, the controller qualities being enhanced by making use of the model arguments (those accounting for the noise influence on the system) as additional degrees of freedom. The technique helps designing explicit control laws with improved stability robustness
Keywords :
predictive control; robust control; a posteriori robustification; parametric programming; piecewise linear law; predictive control; stability robustness; Linear programming; Noise robustness; Piecewise linear approximation; Piecewise linear techniques; Predictive control; Predictive models; Robust control; Robust stability; USA Councils; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2006 45th IEEE Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
1-4244-0171-2
Type :
conf
DOI :
10.1109/CDC.2006.377506
Filename :
4178119
Link To Document :
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