Nonlinear dynamic modelling of flexible beam structures using neural networks
This paper investigates the utilisution of back propagation neural networlu (NNs) for modelling flexible beam structures infixed-free mode; a simple repsentation of an aircrufr wing or robot arm. A comparative performance of the NN model and conventional recursive least square scheme, in characteris...
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my.utm.98162017-08-15T04:15:41Z http://eprints.utm.my/id/eprint/9816/ Nonlinear dynamic modelling of flexible beam structures using neural networks Mohd. Hashim, Siti Zaiton Mat Darus, Intan Zaurah Tokhi, Mohd. 0sman TJ Mechanical engineering and machinery This paper investigates the utilisution of back propagation neural networlu (NNs) for modelling flexible beam structures infixed-free mode; a simple repsentation of an aircrufr wing or robot arm. A comparative performance of the NN model and conventional recursive least square scheme, in characterising the system is carried out in the time and frequency domains. Simulated results demonstrate that using NN approach the system is modelled better than with the conventional linear modelling approach. The developed neuro-modelling approach will firther be utilized in the design and implementation of suitable controllers, for vibration slippression in such system. IEEE 2004-06-03 Book Section PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/9816/1/SZHashim2004_nonlinear_dynamic_modelling_of_flexible_beam.pdf Mohd. Hashim, Siti Zaiton and Mat Darus, Intan Zaurah and Tokhi, Mohd. 0sman (2004) Nonlinear dynamic modelling of flexible beam structures using neural networks. In: ICM '04: Proceedings of the IEEE International Conference On Mechatronics 2004. IEEE, USA, pp. 171-175. ISBN 0780385993 http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=01364432 10.1109/ICMECH.2004.1364432 |
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TJ Mechanical engineering and machinery Mohd. Hashim, Siti Zaiton Mat Darus, Intan Zaurah Tokhi, Mohd. 0sman Nonlinear dynamic modelling of flexible beam structures using neural networks |
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This paper investigates the utilisution of back propagation neural networlu (NNs) for modelling flexible beam structures infixed-free mode; a simple repsentation of an aircrufr wing or robot arm. A comparative performance of the NN model and conventional recursive least square scheme, in characterising the system is carried out in the time and frequency domains. Simulated results demonstrate that using NN approach the system is modelled better than with the conventional linear modelling approach. The developed neuro-modelling approach will firther be utilized in the design and implementation of suitable controllers, for vibration slippression in such system. |
format |
Book Section |
author |
Mohd. Hashim, Siti Zaiton Mat Darus, Intan Zaurah Tokhi, Mohd. 0sman |
author_facet |
Mohd. Hashim, Siti Zaiton Mat Darus, Intan Zaurah Tokhi, Mohd. 0sman |
author_sort |
Mohd. Hashim, Siti Zaiton |
title |
Nonlinear dynamic modelling of flexible beam structures using neural networks |
title_short |
Nonlinear dynamic modelling of flexible beam structures using neural networks |
title_full |
Nonlinear dynamic modelling of flexible beam structures using neural networks |
title_fullStr |
Nonlinear dynamic modelling of flexible beam structures using neural networks |
title_full_unstemmed |
Nonlinear dynamic modelling of flexible beam structures using neural networks |
title_sort |
nonlinear dynamic modelling of flexible beam structures using neural networks |
publisher |
IEEE |
publishDate |
2004 |
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http://eprints.utm.my/id/eprint/9816/1/SZHashim2004_nonlinear_dynamic_modelling_of_flexible_beam.pdf http://eprints.utm.my/id/eprint/9816/ http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=01364432 |
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1643645260586287104 |
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13.160551 |