dc.contributor.author | Yu, Zhandong | |
dc.contributor.author | Yu, Jinyong | |
dc.contributor.author | Karimi, Hamid Reza | |
dc.date.accessioned | 2015-03-19T08:02:40Z | |
dc.date.available | 2015-03-19T08:02:40Z | |
dc.date.issued | 2014 | |
dc.identifier.citation | Yu, Z., Yu, J., & Karimi, H. R. (2014). Model reduction of fuzzy logic systems. Mathematical Problems in Engineering, 2014. doi: 10.1155/2014/874530 | nb_NO |
dc.identifier.issn | 1024123X | |
dc.identifier.uri | http://hdl.handle.net/11250/279659 | |
dc.description | Published version of an article in the journal: Mathematical Problems in Engineering. Also available from the publisher at: http://dx.doi.org/10.1155/2014/874530 | nb_NO |
dc.description.abstract | This 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.language.iso | eng | nb_NO |
dc.publisher | Hindawi | nb_NO |
dc.rights | Navngivelse 3.0 Norge | * |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/no/ | * |
dc.title | Model reduction of fuzzy logic systems | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.subject.nsi | VDP::Mathematics and natural science: 400::Mathematics: 410::Logic: 416 | nb_NO |
dc.subject.nsi | VDP::Technology: 500::Mechanical engineering: 570 | nb_NO |
dc.source.pagenumber | 9 p. | nb_NO |
dc.source.journal | Mathematical Problems in Engineering | nb_NO |
dc.identifier.doi | 10.1155/2014/874530 | |