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dc.contributor.authorYu, Zhandong
dc.contributor.authorYu, Jinyong
dc.contributor.authorKarimi, Hamid Reza
dc.identifier.citationYu, Z., Yu, J., & Karimi, H. R. (2014). Model reduction of fuzzy logic systems. Mathematical Problems in Engineering, 2014. doi: 10.1155/2014/874530nb_NO
dc.descriptionPublished version of an article in the journal: Mathematical Problems in Engineering. Also available from the publisher at:
dc.description.abstractThis paper deals with the problem of l 2 - l ∞ model reduction for continuous-time nonlinear uncertain systems. The approach of the construction of a reduced-order model is presented for high-order nonlinear uncertain systems described by the T-S fuzzy systems, which not only approximates the original high-order system well with an l 2 - l ∞ error performance level γ but also translates it into a linear lower-dimensional system. Then, the model approximation is converted into a convex optimization problem by using a linearization procedure. Finally, a numerical example is presented to show the effectiveness of the proposed method. © 2014 Zhandong Yu et al.nb_NO
dc.rightsNavngivelse 3.0 Norge*
dc.titleModel reduction of fuzzy logic systemsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.subject.nsiVDP::Mathematics and natural science: 400::Mathematics: 410::Logic: 416nb_NO
dc.subject.nsiVDP::Technology: 500::Mechanical engineering: 570nb_NO
dc.source.pagenumber9 p.nb_NO
dc.source.journalMathematical Problems in Engineeringnb_NO

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