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Parametric and non-parametric identification of a two dimensional flexible structure

An investigation into the parametric and non-parametric modelling of a two dimensional flexible plate structure is presented in this paper. The parametric approaches obtaining linear parametric models of the system using recursive least squares and genetic algorithms. The non-parametric models of th...

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Main Authors: Mat Darus, I. Z., Tokhi, M. O.
Format: Article
Published: Multi-Science Publishing Co Ltd. 2006
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://eprints.utm.my/id/eprint/9042/
http://dx.doi.org/10.1260/026309206778494274
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spelling my.utm.90422018-03-07T21:10:40Z http://eprints.utm.my/id/eprint/9042/ Parametric and non-parametric identification of a two dimensional flexible structure Mat Darus, I. Z. Tokhi, M. O. TJ Mechanical engineering and machinery An investigation into the parametric and non-parametric modelling of a two dimensional flexible plate structure is presented in this paper. The parametric approaches obtaining linear parametric models of the system using recursive least squares and genetic algorithms. The non-parametric models of the system are developed using a non-linear AutoRegressive process with eXogeneous input model with multi-layered perceptron neural networks, Elman recurrent neural networks and adaptive neuro-fuzzy inference systems. The models are validated using several validation tests including input-output mapping, mean squares of error and correlation tests. A comparative assessment of the techniques used is presented and discussed in terms of accuracy, efficiency and performance in estimating the modes of vibration of the system. Multi-Science Publishing Co Ltd. 2006 Article PeerReviewed Mat Darus, I. Z. and Tokhi, M. O. (2006) Parametric and non-parametric identification of a two dimensional flexible structure. Journal of Low Frequency Noise Vibration and Active Control, 25 (2). pp. 119-143. ISSN 1461-3484 http://dx.doi.org/10.1260/026309206778494274 10.1260/026309206778494274
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Mat Darus, I. Z.
Tokhi, M. O.
Parametric and non-parametric identification of a two dimensional flexible structure
description An investigation into the parametric and non-parametric modelling of a two dimensional flexible plate structure is presented in this paper. The parametric approaches obtaining linear parametric models of the system using recursive least squares and genetic algorithms. The non-parametric models of the system are developed using a non-linear AutoRegressive process with eXogeneous input model with multi-layered perceptron neural networks, Elman recurrent neural networks and adaptive neuro-fuzzy inference systems. The models are validated using several validation tests including input-output mapping, mean squares of error and correlation tests. A comparative assessment of the techniques used is presented and discussed in terms of accuracy, efficiency and performance in estimating the modes of vibration of the system.
format Article
author Mat Darus, I. Z.
Tokhi, M. O.
author_facet Mat Darus, I. Z.
Tokhi, M. O.
author_sort Mat Darus, I. Z.
title Parametric and non-parametric identification of a two dimensional flexible structure
title_short Parametric and non-parametric identification of a two dimensional flexible structure
title_full Parametric and non-parametric identification of a two dimensional flexible structure
title_fullStr Parametric and non-parametric identification of a two dimensional flexible structure
title_full_unstemmed Parametric and non-parametric identification of a two dimensional flexible structure
title_sort parametric and non-parametric identification of a two dimensional flexible structure
publisher Multi-Science Publishing Co Ltd.
publishDate 2006
url http://eprints.utm.my/id/eprint/9042/
http://dx.doi.org/10.1260/026309206778494274
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score 13.2442

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