6533b856fe1ef96bd12b22fe
RESEARCH PRODUCT
Model reduction of fuzzy logic systems
Zhandong YuJinyong YuHamid Reza Karimisubject
Engineering (all)Article Subjectlcsh:TA1-2040lcsh:MathematicsVDP::Technology: 500::Mechanical engineering: 570VDP::Mathematics and natural science: 400::Mathematics: 410::Logic: 416Mathematics (all)lcsh:Engineering (General). Civil engineering (General)lcsh:QA1-939Mathematics (all); Engineering (all)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 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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2014-01-01 |