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Observers for Takagi-Sugeno fuzzy systems
Örebro University, School of Science and Technology. (AASS)
Siemens AG Corporate Technology, Otto-Hahn-Ring, Munich, German. (AASS)
Örebro University, School of Science and Technology. (AASS)ORCID iD: 0000-0002-9477-4044
2002 (English)In: IEEE transactions on systems, man and cybernetics. Part B. Cybernetics, ISSN 1083-4419, E-ISSN 1941-0492, ISSN 1083-4419/02, Vol. 32, no 1, p. 114-121Article in journal (Refereed) Published
Abstract [en]

We focus on the analysis and design of two different sliding mode observers for dynamic Takagi-Sugeno (TS) fuzzy systems. A nonlinear system of this class is composed of multiple affine local linear models that are smoothly interpolated by weighting functions resulting from a fuzzy partitioning of the state space of a given nonlinear system subject to observation. The Takagi-Sugeno fuzzy system is then an accurate approximation of the original nonlinear system. Our approach to the analysis and design of observers for Takagi-Sugeno fuzzy systems is based on extending sliding mode observer schemes to the case of interpolated multiple local affine linear models. Thus, our main contribution is nonlinear observer analysis and design methods that can effectively deal with model/plant mismatches. Furthermore, we consider the difficult case when the weighting functions in the Takagi-Sugeno fuzzy system depend on the estimated state

Place, publisher, year, edition, pages
IEEE Journals & Magazines , 2002. Vol. 32, no 1, p. 114-121
Keywords [en]
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=979966
National Category
Engineering and Technology Computer Sciences
Research subject
Automatic Control
Identifiers
URN: urn:nbn:se:oru:diva-38978DOI: 10.1109/3477.979966ISI: 000173461200014Scopus ID: 2-s2.0-0036465264OAI: oai:DiVA.org:oru-38978DiVA, id: diva2:765803
Funder
Knowledge FoundationAvailable from: 2014-11-25 Created: 2014-11-25 Last updated: 2023-12-08Bibliographically approved

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Bergsten, PontusPalm, RainerDriankov, Dimiter

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  • apa
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