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Constrained Time-Optimal Control of Linear Parameter-Varying Systems
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
ETH Zürich, Schweiz.
ETH Zürich, Schweiz.
2009 (English)In: Proceedings of the 48th IEEE Conference on Decision and Control, 2009, 6923-6928 p.Conference paper, Published paper (Refereed)
Abstract [en]

For linear and hybrid systems, constrained time-optimal control was shown to be a low complexity alternative to the explicit solution of the constrained finite-time optimal control problem. In this paper we show how Polya's relaxation can be employed to compute minimum-time controllers for discrete-time LPV systems. Contrary to previous publications, our approach allows the use of parameter-varying input matrices. In a comparison over 20 random system, it is shown that compared to explicit LPV-MPC the proposed approach achieves similar or even better control performance, while reducing the complexity of the controller up to an order of magnitude.

Place, publisher, year, edition, pages
2009. 6923-6928 p.
Keyword [en]
Discrete time systems, Linear systems, Optimal control
National Category
Engineering and Technology Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-89080DOI: 10.1109/CDC.2009.5400878ISBN: 978-1-4244-3872-3 (print)ISBN: 978-1-4244-3871-6 (print)OAI: oai:DiVA.org:liu-89080DiVA: diva2:606608
Conference
48th IEEE Conference on Decision and Control, Shanghai, China, December, 2009
Available from: 2013-02-19 Created: 2013-02-19 Last updated: 2013-02-20

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Löfberg, Johan

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
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  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf