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Parametric and non-parametric identification of a two dimensional flexible structure

Mat Darus, I. Z. and Tokhi, M. O. (2006) Parametric and non-parametric identification of a two dimensional flexible structure. Journal of Low Frequency Noise Vibration and Active Control, 25 (2). pp. 119-143. ISSN 1461-3484

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Official URL: http://dx.doi.org/10.1260/026309206778494274

Abstract

An investigation into the parametric and non-parametric modelling of a two dimensional flexible plate structure is presented in this paper. The parametric approaches obtaining linear parametric models of the system using recursive least squares and genetic algorithms. The non-parametric models of the system are developed using a non-linear AutoRegressive process with eXogeneous input model with multi-layered perceptron neural networks, Elman recurrent neural networks and adaptive neuro-fuzzy inference systems. The models are validated using several validation tests including input-output mapping, mean squares of error and correlation tests. A comparative assessment of the techniques used is presented and discussed in terms of accuracy, efficiency and performance in estimating the modes of vibration of the system.

Item Type:Article
Divisions:Mechanical Engineering
ID Code:9042
Deposited By: Nurunnadiah Baharum
Deposited On:27 Jul 2009 03:29
Last Modified:02 May 2012 04:41

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