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|Title: ||Identification algorithms of flexible structure using neural networks|
|Authors: ||Ismail, Razali|
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)|
|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|
|Appears in Collections:||School of Mechatronic Engineering (Articles)|
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