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:English
Published: Penerbit UTM Press 2002
Subjects:
Online Access:http://eprints.utm.my/id/eprint/1301/1/JT36A4.pdf
http://eprints.utm.my/id/eprint/1301/
http://www.penerbit.utm.my/onlinejournal/36/A/JT36A4.pdf
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