Details
Originalsprache | Englisch |
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Titel des Sammelwerks | 2014 American Control Conference, ACC 2014 |
Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
Seiten | 2845-2850 |
Seitenumfang | 6 |
ISBN (Print) | 9781479932726 |
Publikationsstatus | Veröffentlicht - 2014 |
Extern publiziert | Ja |
Veranstaltung | 2014 American Control Conference, ACC 2014 - Portland, OR, USA / Vereinigte Staaten Dauer: 4 Juni 2014 → 6 Juni 2014 |
Publikationsreihe
Name | Proceedings of the American Control Conference |
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ISSN (Print) | 0743-1619 |
Abstract
In this paper, we further analyze an economic model predictive control (MPC) algorithm with self-tuning terminal cost, which was recently proposed in [1]. It is shown that if a generalized terminal region constraint instead of a generalized terminal equality constraint is used, improved closed-loop asymptotic average performance bounds can be obtained. In particular, in contrast to the results in [1], these bounds can be obtained a priori. We discuss how the necessary parameters for the generalized terminal region setting can be calculated, and we illustrate our findings with a numerical example.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Elektrotechnik und Elektronik
Ziele für nachhaltige Entwicklung
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2014 American Control Conference, ACC 2014. Institute of Electrical and Electronics Engineers Inc., 2014. S. 2845-2850 6858962 (Proceedings of the American Control Conference).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Performance analysis of economic MPC with self-tuning terminal cost
AU - Müller, Matthias A.
AU - Angeli, David
AU - Allgöwer, Frank
PY - 2014
Y1 - 2014
N2 - In this paper, we further analyze an economic model predictive control (MPC) algorithm with self-tuning terminal cost, which was recently proposed in [1]. It is shown that if a generalized terminal region constraint instead of a generalized terminal equality constraint is used, improved closed-loop asymptotic average performance bounds can be obtained. In particular, in contrast to the results in [1], these bounds can be obtained a priori. We discuss how the necessary parameters for the generalized terminal region setting can be calculated, and we illustrate our findings with a numerical example.
AB - In this paper, we further analyze an economic model predictive control (MPC) algorithm with self-tuning terminal cost, which was recently proposed in [1]. It is shown that if a generalized terminal region constraint instead of a generalized terminal equality constraint is used, improved closed-loop asymptotic average performance bounds can be obtained. In particular, in contrast to the results in [1], these bounds can be obtained a priori. We discuss how the necessary parameters for the generalized terminal region setting can be calculated, and we illustrate our findings with a numerical example.
KW - Predictive control for nonlinear systems
UR - http://www.scopus.com/inward/record.url?scp=84905707051&partnerID=8YFLogxK
U2 - 10.1109/ACC.2014.6858962
DO - 10.1109/ACC.2014.6858962
M3 - Conference contribution
AN - SCOPUS:84905707051
SN - 9781479932726
T3 - Proceedings of the American Control Conference
SP - 2845
EP - 2850
BT - 2014 American Control Conference, ACC 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 American Control Conference, ACC 2014
Y2 - 4 June 2014 through 6 June 2014
ER -