Universiti Teknologi Malaysia Institutional Repository

Identification algorithms of flexible structure using neural networks

Ismail, R. and Ismail, A. Y. and Mat Darus , I. Z. (2006) Identification algorithms of flexible structure using neural networks. In: Scored 2006 - Proceedings of 2006 4th Student Conference on Research and Development "Towards Enhancing Research Excellence in the Region", Malaysia.

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Abstract

This paper present an investigation into the development of identification system approaches for dynamic modelling characterization of a two dimensional flexible plate structures. The least square and recursive least square are used to obtain linear parametric model of the system. Furthermore, non-parametric models of the system are developed using Multi-layer Perceptron Neural Networks (MLP-NN) and Elman Neural Networks (ENN). A simulation algorithm of the plate is developed through a discretisation of the governing partial differential equation formulation of the plate dynamics using finite difference methods. The finite duration step input is applied to simulation algorithm of the plate. Finally a comparative performance of the approaches used is presented and discussed.

Item Type:Conference or Workshop Item (Paper)
Subjects:T Technology > TJ Mechanical engineering and machinery
Divisions:Mechanical Engineering
ID Code:7130
Deposited By: Mohamad Ali Duki
Deposited On:23 Dec 2008 01:55
Last Modified:23 Dec 2008 01:55

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