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Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/6667

Title: Identification algorithms of flexible structure using neural networks
Authors: Ismail, Razali
Ismail, A.Y
Mat Darus, I.Z.
Keywords: Indentification system;Differential equation;Neural networks (Computer science);Digital simulation;Finite difference methods;Plates (Engineering)
Issue Date: 2006
Publisher: Institute of Electrical and Electronics Engineering (IEEE)
Citation: p.162-168
Series/Report no.: Proceedings of 2006 4th Student Conference on Research and Development "Towards Enhancing Research Excellence in the Region" (SCOReD 2006)
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.
Description: Link to publisher's homepage at http://ieeexplore.ieee.org
URI: http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=04339331
ISBN: 1-4244-0527-0
Appears in Collections:School of Mechatronic Engineering (Articles)

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