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A Takagi-Sugeno fuzzy gain-scheduler
Linköping University, Linköping, Sweden.ORCID iD: 0000-0002-9477-4044
Siemens Corporate Research, Munich, Germany.
Siemens Corporate Research, Munich, Germany.
1996 (English)In: Proceedings of the Fifth IEEE International Conference on Fuzzy Systems: Fuzz-IEEE '96, New York, USA: IEEE conference proceedings, 1996, p. 1053-1059Conference paper, Published paper (Refereed)
Abstract [en]

In the present paper we describe the design of a fuzzy gain scheduler for tracking a reference trajectory of a nonlinear autonomous system. The proposed fuzzy gain scheduling method has two major advantages over the existing crisp gain scheduling methods. First, it provides a general and formally motivated method for the interpolation of available local control laws into a global gain scheduling control law. Second, the method for determining the weights of the local control laws in the global gain scheduling control law is general and computationally efficient. It is shown that a fuzzy gain scheduler can be designed such that robust asymptotic stability is met. Finally, an LQR control design based method is presented

Place, publisher, year, edition, pages
New York, USA: IEEE conference proceedings, 1996. p. 1053-1059
National Category
Engineering and Technology Control Engineering
Research subject
Automatic Control
Identifiers
URN: urn:nbn:se:oru:diva-39022DOI: 10.1109/FUZZY.1996.552324ISI: A1996BG47R00173Scopus ID: 2-s2.0-0030378845ISBN: 0-7803-3645-3 (print)OAI: oai:DiVA.org:oru-39022DiVA, id: diva2:766173
Conference
Fifth IEEE International Conference on Fuzzy Systems, New Orleans, USA, September 8-11, 1996
Funder
Knowledge FoundationAvailable from: 2014-11-26 Created: 2014-11-26 Last updated: 2017-10-17Bibliographically approved

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Driankov, DimiterPalm, Rainer

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  • de-DE
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  • en-US
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  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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  • asciidoc
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