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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
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- 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.
ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 25/11/20 alle ore 18:38:32