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

Hanafi, Dirman and Mohd, Rahmat F. B. and Ahmad, Z. A. B. and Zaid, A. B. M. (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

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Official URL: http://dx.doi.org/10.1109/ISMA.2009.5164792

Abstract

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.

Item Type:Book Section
Additional Information:ISBN: 978-142443481-7; 2009 6th International Symposium on Mechatronics and its Applications, ISMA 2009; Sharjah; 23 March 2009 through 26 March 2009
Uncontrolled Keywords:intelligent system identification, multilayer perceptron, narx model, real input output data
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:12895
Deposited By: Liza Porijo
Deposited On:06 Jul 2011 01:37
Last Modified:06 Jul 2011 01:37

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