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System identification of hammerstein model a quarter car passive suspension systems using Multilayer Perceptron Neural Networks (MPNN)

Recently, Some Researchers Have Focused On The Applications System Identification. In This Paper, A Hammerstein Model Of A Quarter Car Passive Suspension System Is Identified Using Multilayer Perceptron Neural Networks. Input And Output Data Are Acquired By Driving A Car On A Special Road Event. Th...

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Main Authors: Hanafi, Dirman, Rahmat, Mohd. Fua'ad
Format: Article
Language:English
Published: Penerbit UTM Press 2005
Subjects:
Q Science (General)
Online Access:http://eprints.utm.my/id/eprint/1446/1/JTDIS43D7.pdf
http://eprints.utm.my/id/eprint/1446/
http://dx.doi.org/10.11113/jt.v43.779
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spelling my.utm.14462017-11-01T04:17:31Z http://eprints.utm.my/id/eprint/1446/ System identification of hammerstein model a quarter car passive suspension systems using Multilayer Perceptron Neural Networks (MPNN) Hanafi, Dirman Rahmat, Mohd. Fua'ad Q Science (General) Recently, Some Researchers Have Focused On The Applications System Identification. In This Paper, A Hammerstein Model Of A Quarter Car Passive Suspension System Is Identified Using Multilayer Perceptron Neural Networks. Input And Output Data Are Acquired By Driving A Car On A Special Road Event. The Networks Structure Is Based On System Model. The Network Learning Algorithm Is Based On Fisher’s Scoring Method. Fisher Information Is Given As A Weighted Covariance Matrix Of Inputs And Outputs Of The Network Hidden Layer. Unitwise, Fisher’s Scoring Method Reduces To The Algorithm In Which Each Unit Estimates Its Own Weights By A Weighted Least Square Method. The Results Show That The Minimum Mean Square Error (Mse) Value Of The Training Process Was Found With A Short Record. Penerbit UTM Press 2005-12 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/1446/1/JTDIS43D7.pdf Hanafi, Dirman and Rahmat, Mohd. Fua'ad (2005) System identification of hammerstein model a quarter car passive suspension systems using Multilayer Perceptron Neural Networks (MPNN). Jurnal Teknologi D (43D). pp. 95-109. ISSN 0127-9696 http://dx.doi.org/10.11113/jt.v43.779
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/
language English
topic Q Science (General)
spellingShingle Q Science (General)
Hanafi, Dirman
Rahmat, Mohd. Fua'ad
System identification of hammerstein model a quarter car passive suspension systems using Multilayer Perceptron Neural Networks (MPNN)
description Recently, Some Researchers Have Focused On The Applications System Identification. In This Paper, A Hammerstein Model Of A Quarter Car Passive Suspension System Is Identified Using Multilayer Perceptron Neural Networks. Input And Output Data Are Acquired By Driving A Car On A Special Road Event. The Networks Structure Is Based On System Model. The Network Learning Algorithm Is Based On Fisher’s Scoring Method. Fisher Information Is Given As A Weighted Covariance Matrix Of Inputs And Outputs Of The Network Hidden Layer. Unitwise, Fisher’s Scoring Method Reduces To The Algorithm In Which Each Unit Estimates Its Own Weights By A Weighted Least Square Method. The Results Show That The Minimum Mean Square Error (Mse) Value Of The Training Process Was Found With A Short Record.
format Article
author Hanafi, Dirman
Rahmat, Mohd. Fua'ad
author_facet Hanafi, Dirman
Rahmat, Mohd. Fua'ad
author_sort Hanafi, Dirman
title System identification of hammerstein model a quarter car passive suspension systems using Multilayer Perceptron Neural Networks (MPNN)
title_short System identification of hammerstein model a quarter car passive suspension systems using Multilayer Perceptron Neural Networks (MPNN)
title_full System identification of hammerstein model a quarter car passive suspension systems using Multilayer Perceptron Neural Networks (MPNN)
title_fullStr System identification of hammerstein model a quarter car passive suspension systems using Multilayer Perceptron Neural Networks (MPNN)
title_full_unstemmed System identification of hammerstein model a quarter car passive suspension systems using Multilayer Perceptron Neural Networks (MPNN)
title_sort system identification of hammerstein model a quarter car passive suspension systems using multilayer perceptron neural networks (mpnn)
publisher Penerbit UTM Press
publishDate 2005
url http://eprints.utm.my/id/eprint/1446/1/JTDIS43D7.pdf
http://eprints.utm.my/id/eprint/1446/
http://dx.doi.org/10.11113/jt.v43.779
_version_ 1643643336681062400
score 13.211869

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