Neuro-adaptive vibration suppression of flexible beam structures
This paper presents an on-line design and implementation of a neural network-based adaptive mechanism for active vibration control (AVC) of flexible beam structures. Back propagation (BP) training method is used with multilayer perceptron network for system identification and controller design, with...
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| Format: | Book Section |
| Language: | en |
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ACTA PRESS
2004
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| Online Access: | http://eprints.utm.my/9805/1/SitiZaitonMohd2004_neuro-adaptive_vibration_suppression_of_flexible.pdf http://eprints.utm.my/9805/ http://www.actapress.com/Abstract.aspx?paperId=15986 |
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| _version_ | 1845472241989451776 |
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| author | Mohd. Hashim, Siti Zaiton Tokhi, Mohd. Osman |
| author2 | Hamza, M.H. |
| author_facet | Hamza, M.H. Mohd. Hashim, Siti Zaiton Tokhi, Mohd. Osman |
| author_sort | Mohd. Hashim, Siti Zaiton |
| building | UTM Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Malaysia |
| content_source | UTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | This paper presents an on-line design and implementation of a neural network-based adaptive mechanism for active vibration control (AVC) of flexible beam structures. Back propagation (BP) training method is used with multilayer perceptron network for system identification and controller design, with one step ahead (OSA) prediction and correlation tests being utilized for arriving at suitable network structure. Simulation results demonstrating the performance of the system with different types of excitation are presented and discussed. |
| format | Book Section |
| id | my.utm.eprints-9805 |
| institution | Universiti Teknologi Malaysia |
| language | en |
| publishDate | 2004 |
| publisher | ACTA PRESS |
| record_format | eprints |
| spelling | my.utm.eprints-98052017-08-15T04:09:30Z http://eprints.utm.my/9805/ Neuro-adaptive vibration suppression of flexible beam structures Mohd. Hashim, Siti Zaiton Tokhi, Mohd. Osman QA75 Electronic computers. Computer science This paper presents an on-line design and implementation of a neural network-based adaptive mechanism for active vibration control (AVC) of flexible beam structures. Back propagation (BP) training method is used with multilayer perceptron network for system identification and controller design, with one step ahead (OSA) prediction and correlation tests being utilized for arriving at suitable network structure. Simulation results demonstrating the performance of the system with different types of excitation are presented and discussed. ACTA PRESS Hamza, M.H. 2004-02-23 Book Section PeerReviewed application/pdf en http://eprints.utm.my/9805/1/SitiZaitonMohd2004_neuro-adaptive_vibration_suppression_of_flexible.pdf Mohd. Hashim, Siti Zaiton and Tokhi, Mohd. Osman (2004) Neuro-adaptive vibration suppression of flexible beam structures. In: Proceedings of the 23rd IASTED International Conference on Modelling, Identification, and Control. ACTA PRESS, Canada, pp. 467-472. ISBN 0-88986-371-7 http://www.actapress.com/Abstract.aspx?paperId=15986 |
| spellingShingle | QA75 Electronic computers. Computer science Mohd. Hashim, Siti Zaiton Tokhi, Mohd. Osman Neuro-adaptive vibration suppression of flexible beam structures |
| title | Neuro-adaptive vibration suppression of flexible beam structures |
| title_full | Neuro-adaptive vibration suppression of flexible beam structures |
| title_fullStr | Neuro-adaptive vibration suppression of flexible beam structures |
| title_full_unstemmed | Neuro-adaptive vibration suppression of flexible beam structures |
| title_short | Neuro-adaptive vibration suppression of flexible beam structures |
| title_sort | neuro-adaptive vibration suppression of flexible beam structures |
| topic | QA75 Electronic computers. Computer science |
| url | http://eprints.utm.my/9805/1/SitiZaitonMohd2004_neuro-adaptive_vibration_suppression_of_flexible.pdf http://eprints.utm.my/9805/ http://www.actapress.com/Abstract.aspx?paperId=15986 |
| url_provider | http://eprints.utm.my/ |