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  4. Obtaining a Stabilizing Prediction Horizon in Quadratic Programming Model Predictive Control
 
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2019
Conference Paper
Title

Obtaining a Stabilizing Prediction Horizon in Quadratic Programming Model Predictive Control

Abstract
In this paper, it is shown how a performance tuple can be obtained in model predictive control if the optimal control problem is a quadratic program. The quotient of the finite-horizon optimal cost and the tuple's first entry upper bounds the sum of all instances over the finite-horizon optimal cost. The tuple's second entry is a stabilizing prediction horizon. The algorithm taking the describing matrices and giving a performance tuple is easily verifiable.
Author(s)
Morgenstern, Dimitri
Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM  
Görges, Daniel
TU Kaiserslautern
Wirsen, Andreas  
Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM  
Mainwork
IEEE 58th Conference on Decision and Control, CDC 2019  
Conference
Conference on Decision and Control (CDC) 2019  
DOI
10.1109/CDC40024.2019.9030254
Language
English
Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM  
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