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.
|Titolo:||Model reduction of fuzzy logic systems|
|Autori interni:||KARIMI, HAMID REZA|
|Data di pubblicazione:||2014|
|Rivista:||MATHEMATICAL PROBLEMS IN ENGINEERING|
|Appare nelle tipologie:||01.1 Articolo in Rivista|