Universiti Teknologi Malaysia Institutional Repository

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

Ahmad, Robiah and Jamaluddin, Hishamuddin (2002) Radial basis function (RBF) for non-linear dynamic system identification. Jurnal Teknologi A (36A). pp. 39-54. ISSN 0127-9696


Official URL: http://www.penerbit.utm.my/onlinejournal/36/A/JT36...


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 is employed to select parsimonious RBF models. To demonstrate the identification procedure two examples of modelling on linear system were included.

Item Type:Article
Uncontrolled Keywords:radial basis function, system identification, non-linear system modelling, orthogonal least, square algorithm
Subjects:T Technology > TJ Mechanical engineering and machinery
Divisions:Mechanical Engineering
ID Code:1301
Deposited By: Mohd. Nazir Md. Basri
Deposited On:01 Mar 2007 08:08
Last Modified:01 Nov 2017 04:17

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