DocumentCode :
404452
Title :
Constrained min-max predictive control: a polynomial-time approach
Author :
Alamo, T. ; De la Peña, D. Muñoz ; Limon, D. ; Camacho, E.F.
Author_Institution :
Dept. de Ingenieria de Sistemas y Autom., Univ. de Sevilla, Spain
Volume :
1
fYear :
2003
fDate :
9-12 Dec. 2003
Firstpage :
912
Abstract :
In this paper, an efficient way of implementing a constrained min-max predictive controller is presented. The new approach modifies the objective function in such a way that the resulting min-max problem can be solved in polynomial time. Different modifications are proposed. The main contribution of the paper is to provide a robust constrained min-max predictive controller that can be implemented in real time. The new controller stabilizes the uncertain system.
Keywords :
minimax techniques; polynomials; predictive control; robust control; uncertain systems; polynomial time; robust constrained min-max predictive controller; stability; uncertain system; Binary trees; Control systems; Linear systems; Polynomials; Predictive control; Robust control; Robust stability; Telephony; Uncertain systems; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2003. Proceedings. 42nd IEEE Conference on
ISSN :
0191-2216
Print_ISBN :
0-7803-7924-1
Type :
conf
DOI :
10.1109/CDC.2003.1272683
Filename :
1272683
Link To Document :
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