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Dual mode extremum-seeking control via Lie-bracket averaging approximations
Queen's University, Department of Chemical Engineering, Kingston, ON, K7L 3N6, Canada.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0002-9901-5776
2018 (English)In: 2018 Annual American Control Conference (ACC), Piscataway, NJ: IEEE, 2018, p. 2972-2977Conference paper, Published paper (Refereed)
Abstract [en]

This paper proposes a dual mode extremum-seeking controller (ESC) design based on a Lie bracket averaging technique. The stability analysis demonstrates that the practical asymptotical stability of the unknown optimum can be achieved for autonomous and non-autonomous systems. The application of the technique for the solution of realtime optimization problem with time-varying optimum state trajectories is presented. A simulation study demonstrates the ability of the proposed technique to remove the input bias that results in the application of existing Lie bracket design techniques to dynamical control systems.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE, 2018. p. 2972-2977
Series
Annual American Control Conference (ACC), E-ISSN 2378-5861
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-71576DOI: 10.23919/ACC.2018.8430884Scopus ID: 2-s2.0-85052592737ISBN: 978-1-5386-5429-3 (print)ISBN: 978-1-5386-5428-6 (electronic)ISBN: 978-1-5386-5427-9 (electronic)OAI: oai:DiVA.org:ltu-71576DiVA, id: diva2:1263165
Conference
2018 Annual American Control Conference (ACC) June 27–29, 2018. Wisconsin Center, Milwaukee, USA
Available from: 2018-11-14 Created: 2018-11-14 Last updated: 2019-01-11Bibliographically approved

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Atta, Khalid

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Citation style
  • apa
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  • nn-NB
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Output format
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