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Further study on the parameter convergence of fuzzy models in nonlinear system identifications
Wan F.2; Sun Y.-X.1
2007
Source PublicationZidonghua Xuebao/Acta Automatica Sinica
ISSN02544156
Volume33Issue:1Pages:109-112
Abstract

This paper investigates the persistent excitation conditions under which the parameters in the fuzzy system model converge to their true values when the standard Mamdani type fuzzy system is constructed and the orthogonal projection parameter-tuning algorithm is used for nonlinear system identification. Algorithms are proposed accordingly for generating the input signals with persistent excitation property for the identifications of nonlinear moving average (N-MA) and second-order nonlinear auto-regressive moving average (N-ARMA) systems.

KeywordFuzzy System Model Nonlinear System Identification Parameter Convergence Persistently Exciting Input Signal Design
DOI10.1360/aas-007-0109
URLView the original
Language英语
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Document TypeJournal article
CollectionDEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
Affiliation1.Zhejiang University
2.Universidade de Macau
Recommended Citation
GB/T 7714
Wan F.,Sun Y.-X.. Further study on the parameter convergence of fuzzy models in nonlinear system identifications[J]. Zidonghua Xuebao/Acta Automatica Sinica,2007,33(1):109-112.
APA Wan F.,&Sun Y.-X..(2007).Further study on the parameter convergence of fuzzy models in nonlinear system identifications.Zidonghua Xuebao/Acta Automatica Sinica,33(1),109-112.
MLA Wan F.,et al."Further study on the parameter convergence of fuzzy models in nonlinear system identifications".Zidonghua Xuebao/Acta Automatica Sinica 33.1(2007):109-112.
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