T–S fuzzy model identification based on a novel fuzzy c-regression model clustering algorithm

This paper proposes a novel approach for identification of Takagi–Sugeno (T–S) fuzzy model, which is based on a new fuzzy c-regression model (FCRM) clustering algorithm. The clustering prototype in fuzzy space partition is hyper-plane, so FCRM clustering technique is more suitable to be applied in p...

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Veröffentlicht in:	Engineering applications of artificial intelligence Jg. 22; H. 4; S. 646 - 653
Hauptverfasser:	Li, Chaoshun, Zhou, Jianzhong, Xiang, Xiuqiao, Li, Qingqing, An, Xueli
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.06.2009
Schlagworte:	Fuzzy c-means Fuzzy c-regressive model Fuzzy modeling Orthogonal least squares System identification System identification Fuzzy modeling Orthogonal least squares Fuzzy c-regressive model Fuzzy c-means
ISSN:	0952-1976, 1873-6769
Online-Zugang:	Volltext
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