Universiti Teknologi Malaysia Institutional Repository

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

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

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Official URL: http://www.penerbit.utm.my/onlinejournal/43/D/JTDI...

Abstract

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.

Item Type:Article
Uncontrolled Keywords:system identification, Hammerstein model, multilayer perceptron, weighted least square, fisher information
Subjects:Q Science > Q Science (General)
Divisions:Electrical Engineering
ID Code:1446
Deposited By: En Mohd. Nazir Md. Basri
Deposited On:06 Mar 2007 07:29
Last Modified:11 May 2011 05:14

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