Computationally efficient optimization algorithms for model predictive control of linear systems with integer inputs

Petros Karamanakos, Tobias Geyer, Ralph Kennel

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

6 Zitate (Scopus)

Abstract

The model predictive control problem of linear systems with integer inputs results in an integer optimization problem. In case of a quadratic objective function, the optimization problem can be cast as an integer least-squares (ILS) problem. Three algorithms to solve this problem are proposed in this paper. Optimality can be traded in to reduce the computation time. An industrial case study-an inverter-driven electrical drive system-is considered to demonstrate the effectiveness of the presented techniques.

OriginalspracheEnglisch
Titel54rd IEEE Conference on Decision and Control,CDC 2015
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seiten3663-3668
Seitenumfang6
ISBN (elektronisch)9781479978861
DOIs
PublikationsstatusVeröffentlicht - 8 Feb. 2015
Veranstaltung54th IEEE Conference on Decision and Control, CDC 2015 - Osaka, Japan
Dauer: 15 Dez. 201518 Dez. 2015

Publikationsreihe

NameProceedings of the IEEE Conference on Decision and Control
Band54rd IEEE Conference on Decision and Control,CDC 2015
ISSN (Print)0743-1546
ISSN (elektronisch)2576-2370

Konferenz

Konferenz54th IEEE Conference on Decision and Control, CDC 2015
Land/GebietJapan
OrtOsaka
Zeitraum15/12/1518/12/15

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