Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
710248 | IFAC Proceedings Volumes | 2009 | 6 Pages |
Abstract
AbstractThis paper deals with the problem of state estimation of non-linear uncertain systems described by uncertain Takagi-Sugeno model form with immeasurable decision variable. We propose a new method which takes into account the uncertainties of the model based on Type 2 Fuzzy sets approach. The adopted framework is based on the Lyapunov theory and uses the linear matrix inequality.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
Authors
H. Kerkeni, J. Lauber, TM. Guerra,