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Intelligent system identification for an axis of car passive suspension system using real data

This paper presents an intelligent system identification using multilayer perceptron neural network algorithm for an axis car passive suspension model. Nonlinear AutoRegressive with exogenous input (NARX) model were assumed for the system in order to determine the multilayer perceptron neural networ...

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Main Authors: Hanafi, Dirman, Rahmat, Mohd. Fua'ad, Ahmad, Zainal Abidin, Mohd. Zaid, Amran
Format: Book Section
Published: Institute of Electrical and Electronics Engineers 2009
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/id/eprint/12895/
http://dx.doi.org/10.1109/ISMA.2009.5164792
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spelling my.utm.128952017-10-04T05:03:33Z http://eprints.utm.my/id/eprint/12895/ Intelligent system identification for an axis of car passive suspension system using real data Hanafi, Dirman Rahmat, Mohd. Fua'ad Ahmad, Zainal Abidin Mohd. Zaid, Amran TK Electrical engineering. Electronics Nuclear engineering This paper presents an intelligent system identification using multilayer perceptron neural network algorithm for an axis car passive suspension model. Nonlinear AutoRegressive with exogenous input (NARX) model were assumed for the system in order to determine the multilayer perceptron neural network structure. The intelligent system identifcation contructed for NARX model used real input output data acquired by driving a car on a special road event. The results show that the method proposed is suitable for modeling a quarter car passive suspension systems. Institute of Electrical and Electronics Engineers 2009 Book Section PeerReviewed Hanafi, Dirman and Rahmat, Mohd. Fua'ad and Ahmad, Zainal Abidin and Mohd. Zaid, Amran (2009) Intelligent system identification for an axis of car passive suspension system using real data. In: 2009 6th International Symposium on Mechatronics and its Applications, ISMA 2009. Institute of Electrical and Electronics Engineers, New York, pp. 100-106. ISBN 978-142443481-7 http://dx.doi.org/10.1109/ISMA.2009.5164792 doi:10.1109/ISMA.2009.5164792
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 TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Hanafi, Dirman
Rahmat, Mohd. Fua'ad
Ahmad, Zainal Abidin
Mohd. Zaid, Amran
Intelligent system identification for an axis of car passive suspension system using real data
description This paper presents an intelligent system identification using multilayer perceptron neural network algorithm for an axis car passive suspension model. Nonlinear AutoRegressive with exogenous input (NARX) model were assumed for the system in order to determine the multilayer perceptron neural network structure. The intelligent system identifcation contructed for NARX model used real input output data acquired by driving a car on a special road event. The results show that the method proposed is suitable for modeling a quarter car passive suspension systems.
format Book Section
author Hanafi, Dirman
Rahmat, Mohd. Fua'ad
Ahmad, Zainal Abidin
Mohd. Zaid, Amran
author_facet Hanafi, Dirman
Rahmat, Mohd. Fua'ad
Ahmad, Zainal Abidin
Mohd. Zaid, Amran
author_sort Hanafi, Dirman
title Intelligent system identification for an axis of car passive suspension system using real data
title_short Intelligent system identification for an axis of car passive suspension system using real data
title_full Intelligent system identification for an axis of car passive suspension system using real data
title_fullStr Intelligent system identification for an axis of car passive suspension system using real data
title_full_unstemmed Intelligent system identification for an axis of car passive suspension system using real data
title_sort intelligent system identification for an axis of car passive suspension system using real data
publisher Institute of Electrical and Electronics Engineers
publishDate 2009
url http://eprints.utm.my/id/eprint/12895/
http://dx.doi.org/10.1109/ISMA.2009.5164792
_version_ 1643646063546990592
score 13.160551

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