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Fuzzy Observers
Örebro University, Department of Technology. (AASS)
Siemens AG Corporate Technology, Munich, Germany.
Örebro University, Department of Technology. (AASS)ORCID iD: 0000-0002-9477-4044
2001 (English)In: The 10th IEEE International Conference on Fuzzy Systems (Volym:3): Meeting the grand challenge: Machines that serve people, New York, USA: IEEE conference proceedings, 2001, 700-703 p.Conference paper, (Refereed)
Abstract [en]

We consider the analysis and design of three different types of nonlinear observers for dynamic Takagi-Sugeno fuzzy systems. Our approach is based on extending existing nonlinear observer schemes, namely Thau-Luenberger and sliding mode observers, to the case of interpolated multiple local affine linear models. Then linear matrix inequality based techniques are used for observer analysis and design.

Place, publisher, year, edition, pages
New York, USA: IEEE conference proceedings, 2001. 700-703 p.
National Category
Engineering and Technology Control Engineering
Research subject
Automatic Control
Identifiers
URN: urn:nbn:se:oru:diva-38969DOI: 10.1109/FUZZ.2001.1009051ISI: 000178178300174Scopus ID: 2-s2.0-0036349258ISBN: 0-7803-7293-X (print)OAI: oai:DiVA.org:oru-38969DiVA: diva2:765777
Conference
The 10th IEEE International Conference on Fuzzy Systems, Melbourne, Australia, December 2-5, 2001
Funder
Knowledge Foundation
Available from: 2014-11-25 Created: 2014-11-25 Last updated: 2015-09-03Bibliographically approved

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