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Fuzzy switched hybrid systems: modeling and identification
Siemens AG Corporate Technology Information and Communications, Munich, Germany. (AASS)
University of Linköping, Linköping, Sweden. (AASS)ORCID iD: 0000-0002-9477-4044
1998 (English)In: Proceedings of the 1998 IEEE Intelligent Control (ISIC)/CIRA/ISAS Joint Conference, Gaithersburg, MD, September 14-17, 1998, IEEE conference proceedings, 1998, 130-135 p.Conference paper, Published paper (Refereed)
Abstract [en]

The combination of hybrid systems and fuzzy multiple model systems is described. Further, a hierarchical identification of the resulting fuzzy switched hybrid system is outlined. The behavior of the discrete component is identified by black box fuzzy clustering and subsequent parameter identification taking into account some prior-knowledge about the discrete states. The identification of the continuous models for each discrete state is done based on local linear fuzzy models

Place, publisher, year, edition, pages
IEEE conference proceedings, 1998. 130-135 p.
National Category
Engineering and Technology Computer Systems
Research subject
Automatic Control
Identifiers
URN: urn:nbn:se:oru:diva-38977DOI: 10.1109/ISIC.1998.713648ISI: 000075973800024ISBN: 0-7803-4423-5/98 (print)OAI: oai:DiVA.org:oru-38977DiVA: diva2:765797
Conference
Intelligent Control 1998 (Held jointly with IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA), Intelligent Systems and Semiotics (ISAS))
Funder
Knowledge Foundation
Available from: 2014-11-25 Created: 2014-11-25 Last updated: 2015-02-06Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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Language
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  • Other locale
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Output format
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