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 :
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