DocumentCode :
843232
Title :
Type-2 FLCs: A New Generation of Fuzzy Controllers
Author :
Hagras, Hani
Author_Institution :
Essex Univ., Colchester
Volume :
2
Issue :
1
fYear :
2007
Firstpage :
30
Lastpage :
43
Abstract :
Type-1 fuzzy logic controllers (FLCs) have been applied to date with great success to many different applications. However, for dynamic unstructured environments and many real-world applications, there is a need to cope with large amounts of uncertainties. The traditional type-1 FLC using crisp type-1 fuzzy sets cannot directly handle such uncertainties. A type-2 FLC using type-2 fuzzy sets can handle such uncertainties to produce a better performance. Hence, type-2 FLCs will have the potential to overcome the limitations of type-1 FLCs and produce a new generation of fuzzy controllers with improved performance for many applications, which require handling high levels of uncertainty. This paper introduces briefly the interval type-2 FLC and its benefits. We also present briefly the type-2 FLC application to three challenging domains: industrial control, mobile robots control and ambient intelligent environments control
Keywords :
fuzzy control; fuzzy logic; fuzzy set theory; industrial control; intelligent control; mobile robots; ambient intelligent environment control; industrial control; mobile robot control; type-1 fuzzy logic controllers; type-1 fuzzy sets; type-2 fuzzy logic controllers; type-2 fuzzy sets; Ambient intelligence; Fuzzy control; Fuzzy logic; Fuzzy sets; Industrial control; Intelligent control; Intelligent robots; Mobile robots; Robot control; Uncertainty;
fLanguage :
English
Journal_Title :
Computational Intelligence Magazine, IEEE
Publisher :
ieee
ISSN :
1556-603X
Type :
jour
DOI :
10.1109/MCI.2007.357192
Filename :
4195040
Link To Document :
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