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

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4 Author(s)
Hanafi, D. ; Dept. of Mechatron. & Robotic Engineeering, Univ. Tun Hussein Onn Malaysia, Parit Raja, Malaysia ; bin Rahmat, M.F. ; bin Ahmad, Z.A. ; bin Mohd Zaid, A.

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 identification constructed 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.

Published in:

Mechatronics and its Applications, 2009. ISMA '09. 6th International Symposium on

Date of Conference:

23-26 March 2009