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Towards Parallel Implementation of Hybrid MPC: A Survey and Directions for Future Research
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.ORCID iD: 0000-0001-6957-2603
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
2012 (English)In: Distributed decision making and control / [ed] Rolf Johansson and Anders Rantzer, Springer London, 2012, 313-338 p.Conference paper, Published paper (Refereed)
Abstract [en]

In this chapter parallel implementations of hybrid MPC will be discussed. Different methods for achieving parallelism at different levels of the algorithms will be surveyed. It will be seen that there are many possible ways of obtaining parallelism for hybrid MPC, and it is by no means clear which possibilities that should be utilized to achieve the best possible performance. To answer this question is a challenge for future research.

Place, publisher, year, edition, pages
Springer London, 2012. 313-338 p.
Series
Lecture Notes in Control and Information Sciences, ISSN 0170-8643 ; 417
Keyword [en]
Expert systems, System design, Control theory, Decision making, Multiagent systems, Electronic data processing, Game theory -- Congresses
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-73662DOI: 10.1007/978-1-4471-2265-4ISBN: 978-1-4471-2264-7 (print)ISBN: 978-1-4471-2265-4 (print)OAI: oai:DiVA.org:liu-73662DiVA: diva2:475600
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Distributed optimization for hybrid MPC
Available from: 2012-01-11 Created: 2012-01-11 Last updated: 2016-08-31Bibliographically approved

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Axehill, DanielHansson, Anders

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CiteExportLink to record
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Citation style
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  • harvard1
  • ieee
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  • nn-NB
  • sv-SE
  • Other locale
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Output format
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  • asciidoc
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