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| 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
http://hdl.handle.net/123456789/6667 |
| ISBN: | 1-4244-0527-0 |
| Appears in Collections: | School of Mechatronic Engineering (Articles)
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