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Titolo:
System identification via a virtual higher-resolution fuzzy model
Autore:
Chow, KM; Rad, AB;
Indirizzi:
Hong Kong Polytech Univ, Dept Elect Engn, Kowloon, Hong Kong, Peoples R China Hong Kong Polytech Univ Kowloon Hong Kong Peoples R China eoples R China
Titolo Testata:
INTELLIGENT AUTOMATION AND SOFT COMPUTING
fascicolo: 4, volume: 6, anno: 2000,
pagine: 243 - 259
SICI:
1079-8587(2000)6:4<243:SIVAVH>2.0.ZU;2-K
Fonte:
ISI
Lingua:
ENG
Keywords:
fuzzy systems; fuzzy identification; gradient descent method;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
15
Recensione:
Indirizzi per estratti:
Indirizzo: Chow, KM Hong Kong Polytech Univ, Dept Elect Engn, Kowloon, Hong Kong, Peoples R China Hong Kong Polytech Univ Kowloon Hong Kong Peoples R China China
Citazione:
K.M. Chow e A.B. Rad, "System identification via a virtual higher-resolution fuzzy model", INTELL A S, 6(4), 2000, pp. 243-259

Abstract

A fuzzy identification algorithm with an inherent knowledge generalizationmechanism is reported in this paper. In the proposed identification algorithm, a low-resolution fuzzy model is used to mimic the effect of a virtual higher-resolution model. The gradient descent optimization method is then applied to update the rule-base by using the difference between the actual system output and the model output. Simulation studies are included to demonstrate the performance of the algorithm.

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Documento generato il 25/11/20 alle ore 18:38:32