Title: Non-linear system modelling via online clustering and fuzzy support vector machines

Authors: Julio Cesar Tovar, Wen Yu

Addresses: Departamento de Control Automatico, CINVESTAV-IPN, Av.IPN 2508, Mexico D.F, 07360, Mexico. ' Departamento de Control Automatico, CINVESTAV-IPN, Av.IPN 2508, Mexico D.F, 07360, Mexico

Abstract: This paper describes a novel non-linear modelling approach by online clustering, fuzzy rules and support vector machine. Structure identification is realised by an online clustering method and fuzzy support vector machines, and the fuzzy rules are generated automatically. Time-varying learning rates are applied for updating the membership functions of the fuzzy rules. Finally, the upper bounds of the modelling errors are proven.

Keywords: identification; online clustering; fuzzy logic; support vector machines; SVM; nonlinear systems; modelling; fuzzy rules.

DOI: 10.1504/IJMIC.2008.021088

International Journal of Modelling, Identification and Control, 2008 Vol.4 No.2, pp.101 - 111

Available online: 03 Nov 2008 *

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