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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| Format: | Article |
| Language: | en |
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Penerbit UTM Press
2005
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| Online Access: | http://eprints.utm.my/1446/1/JTDIS43D7.pdf http://eprints.utm.my/1446/ http://dx.doi.org/10.11113/jt.v43.779 |
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| author | Hanafi, Dirman Rahmat, Mohd. Fua'ad |
| author_facet | Hanafi, Dirman Rahmat, Mohd. Fua'ad |
| author_sort | Hanafi, Dirman |
| building | UTM Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Malaysia |
| content_source | UTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| 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 |
| id | my.utm.eprints-1446 |
| institution | Universiti Teknologi Malaysia |
| language | en |
| publishDate | 2005 |
| publisher | Penerbit UTM Press |
| record_format | eprints |
| spelling | my.utm.eprints-14462017-11-01T04:17:31Z http://eprints.utm.my/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/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 |
| 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) |
| title | 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_short | 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) |
| topic | Q Science (General) |
| url | http://eprints.utm.my/1446/1/JTDIS43D7.pdf http://eprints.utm.my/1446/ http://dx.doi.org/10.11113/jt.v43.779 |
| url_provider | http://eprints.utm.my/ |