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Model Reduction of Fuzzy Logic Systems.
- Source :
-
Mathematical Problems in Engineering . 2014, p1-9. 9p. - Publication Year :
- 2014
-
Abstract
- This paper deals with the problem of L2-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 L2-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. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 1024123X
- Database :
- Academic Search Index
- Journal :
- Mathematical Problems in Engineering
- Publication Type :
- Academic Journal
- Accession number :
- 100527330
- Full Text :
- https://doi.org/10.1155/2014/874530