Support vector machine networks for friction modeling

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

24 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)601-606
Journal / PublicationIEEE/ASME Transactions on Mechatronics
Volume9
Issue number3
Publication statusPublished - Sept 2004

Abstract

This paper presents a novel model-free approach for modeling friction for servo-motion systems. The proposed approach uses the support vector machine networks to parameterize the static friction mapping. The procedure of constructing such networks from a finite amount of training (sampling) data is developed based on support vector machine regression (SVMR). The validity of the proposed approach has been experimentally verified. © 2004 IEEE.

Citation Format(s)

Support vector machine networks for friction modeling. / Wang, G. L.; Li, Y. F.; Bi, D. X.
In: IEEE/ASME Transactions on Mechatronics, Vol. 9, No. 3, 09.2004, p. 601-606.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review