Nonlinear system identification via Laguerre network based fuzzy systems
Küçük Resim Yok
Tarih
2009
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier Science Bv
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this study, identification of nonlinear systems via Laguerre network based fuzzy model is introduced. We first describe the proposed modeling approach in detail and suggest a fast learning scheme for its training. The proposed approach is applied in three dynamic system modeling problems including Box-Jenkins gas furnace data and forced Van der Pol oscillator. When we compare the performance of the proposed approach against the classical Sugeno and adaptive network based fuzzy inference system modeling, our approach is found to have superior modeling performance and generalization capability. (C) 2009 Elsevier B.V. All rights reserved.
Açıklama
Anahtar Kelimeler
Nonlinear dynamical system, Wiener model, Fuzzy system identification, Laguerre bases
Kaynak
Fuzzy Sets and Systems
WoS Q Değeri
Q1
Scopus Q Değeri
Q1
Cilt
160
Sayı
24
