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Group Method of Data Handling for Modeling Magnetorheological Dampers

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DOI: 10.4236/ica.2013.41010    4,228 Downloads   5,990 Views   Citations

ABSTRACT

This paper proposes the use of Group Method of Data Handling (GMDH) technique for modeling Magneto-Rheological (MR) dampers in the context of system identification. GMDH is a multilayer network of quadratic neurons that offers an effective solution to modeling non-linear systems. As such, we propose the use of GMDH to approximate the forward and inverse dynamic behaviors of MR dampers. We also introduce two enhanced GMDH-based solutions. Firstly, a two-tier architecture is proposed whereby an enhanced GMD model is generated by the aid of a feedback scheme. Secondly, stepwise regression is used as a feature selection method prior to GMDH modeling. The proposed enhancements to GMDH are found to offer improved prediction results in terms of reducing the root-mean-squared error by around 40%.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

K. Assaleh, T. Shanableh and Y. Kheil, "Group Method of Data Handling for Modeling Magnetorheological Dampers," Intelligent Control and Automation, Vol. 4 No. 1, 2013, pp. 70-79. doi: 10.4236/ica.2013.41010.

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