DocumentCode :
1629834
Title :
Extension of fuzzy adaptive laws to IT2 fuzzy systems
Author :
Nie, Maowen ; Tan, Woei Wan
Author_Institution :
Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore, Singapore
fYear :
2009
Firstpage :
712
Lastpage :
717
Abstract :
As an extension of T1 FLS, IT2 FLS was proposed to handle a higher level of uncertainties by providing an additional dimension to FSs. This paper investigates IT2 FLSs´ advantages over type-1 FLSs in adaptive fuzzy systems. It is shown that the uncertainties existing in consequent sets could not be fully utilized when type-reduction is performed using the uncertainty bounds method, which may limit the potential advantages of adaptive IT2 fuzzy systems. To address this limitation, a type-reduction method based on two of the four boundary embedded type-1 FLSs in the uncertainty bounds method is proposed. Moreover, we also establish the condition when adaptive fuzzy systems using T1 FLSs and IT2 FLSs have the same performance. Lastly, IT2 FLSs using the proposed type-reduction method are demonstrated to have greater approximation ability than type-1 FLSs through numerical experiments.
Keywords :
adaptive systems; fuzzy logic; uncertain systems; FLS; IT2 fuzzy systems; adaptive fuzzy systems; fuzzy adaptive laws; fuzzy logic system; type- reduction method; uncertainty bounds method; Adaptive control; Adaptive systems; Control systems; Frequency selective surfaces; Fuzzy control; Fuzzy logic; Fuzzy systems; Nonlinear systems; Programmable control; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems, 2009. FUZZ-IEEE 2009. IEEE International Conference on
Conference_Location :
Jeju Island
ISSN :
1098-7584
Print_ISBN :
978-1-4244-3596-8
Electronic_ISBN :
1098-7584
Type :
conf
DOI :
10.1109/FUZZY.2009.5277354
Filename :
5277354
Link To Document :
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