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

• Main Authors: Ahmad, Robiah, Jamaluddin, Hishamuddin
• Format: Article
• Language: English
• Published: Penerbit UTM Press 2002
• Subjects: TJ Mechanical engineering and machinery
• 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

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...