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Online Automatic and Robust Control Configuration Selection
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0002-9992-7791
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0002-5888-8626
2017 (English)In: 2017 25th Mediterranean Conference on Control and Automation, MED 2017, Piscataway, NJ: IEEE, 2017, 1367-1372 p., 7984309Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a complete method for automatic and robust control configuration selection for linear systems which relies upon acquired process data under gaussian noise excitation.

The selection of the configuration  is based on the estimation of the Interaction Measure named Participation Matrix. This estimation is derived with uncertainty bounds, which allows to  determine online whether the uncertainty is sufficiently low to derive a robust decision on the control configuration to be used or if the uncertainty should be reduced  by e.g. prolonging the experiment to obtain more data.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE, 2017. 1367-1372 p., 7984309
Keyword [en]
Interaction Measures, Control Configuration Selection, Control Structure Selection, Robust Control, Decentralized Control
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-63040DOI: 10.1109/MED.2017.7984309Scopus ID: 2-s2.0-85027838178ISBN: 978-1-5090-4533-4 (electronic)OAI: oai:DiVA.org:ltu-63040DiVA: diva2:1088879
Conference
25th Mediterranean Conference on Control and Automation, MED 2017, University of Malta, Valletta, Malta, 3-6 July 2017
Funder
EU, Horizon 2020, 636834EU, Horizon 2020, 649796VINNOVA
Available from: 2017-04-17 Created: 2017-04-17 Last updated: 2017-11-24Bibliographically approved

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CiteExportLink to record
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