DocumentCode
304030
Title
On the persistency of excitation in fuzzy systems
Author
Chak, Chu Kwong ; Feng, Gang ; Cao, S.G.
Author_Institution
Sch. of Electr. Eng., New South Wales Univ., Sydney, NSW, Australia
Volume
2
fYear
1996
fDate
8-11 Sep 1996
Firstpage
824
Abstract
Fuzzy systems have been developed for more than two decades. Recently there appeared a number of results of fuzzy systems regarding the modelling and identification. Making use of the property that the consequence parameters are linear in fuzzy systems, recursive least squares algorithms are commonly adopted for training or adaptation of fuzzy systems. The condition for convergence of the parameters requires that the regressor vector are persistently exciting. This paper aims to show persistency of excitation in fuzzy systems
Keywords
fuzzy control; fuzzy set theory; fuzzy systems; identification; least squares approximations; modelling; Takagi-Sugeno fuzzy systems; convergence; excitation persistency; fuzzy set theory; fuzzy systems; identification; modelling; recursive least squares; regressor vector; Control systems; Convergence; Fuzzy logic; Fuzzy sets; Fuzzy systems; Humans; Least squares methods; Neural networks; Takagi-Sugeno model; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 1996., Proceedings of the Fifth IEEE International Conference on
Conference_Location
New Orleans, LA
Print_ISBN
0-7803-3645-3
Type
conf
DOI
10.1109/FUZZY.1996.552286
Filename
552286
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