Radial basis function (RBF) for non-linear dynamic system identification

One of the key problem in system identification is finding a suitable model structure. In this paper, radial basis function (RBF) network using various basis functions are trained to represent discrete-time nonlinear dynamic systems and the results are compared. The orthogonal least squarealgorithm...

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Bibliographic Details

Main Authors:	Ahmad, Robiah, Jamaluddin, Hishamuddin
Format:	Article
Language:	en
Published:	Penerbit UTM Press 2002
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://eprints.utm.my/1301/1/JT36A4.pdf http://eprints.utm.my/1301/ http://www.penerbit.utm.my/onlinejournal/36/A/JT36A4.pdf
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