DocumentCode
3796203
Title
If approximating nonlinear areas, then consider fuzzy systems
Author
Simon Oblak;Igor Skrjanc;Saso Blazic
Author_Institution
Fac. of Electr. Eng., Ljubljana Univ.
Volume
25
Issue
6
fYear
2006
Firstpage
18
Lastpage
23
Abstract
The fuzzy system is a knowledge-based system consisting of linguistic if-then rules. This article will focus on the Takagi-Sugeno (TS) type models. A novel approach of INFUMO has been applied in fault detection. The INFUMO was derived using the linfin-norm function approximation. The majority of papers focus on the construction of the so-called residual generator, a comparator of the process and the process-model output that creates a residual signal
Keywords
"Fuzzy systems","Fuzzy sets","Vectors","Robustness","Uncertainty","Transfer functions","Uncertain systems","Signal design","Signal processing","Testing"
Journal_Title
IEEE Potentials
Publisher
ieee
ISSN
0278-6648
Type
jour
DOI
10.1109/P-M.2006.248052
Filename
4013571
Link To Document