Group Method of Data Handling for Modeling Magnetorheological Dampers


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%.

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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.

Conflicts of Interest

The authors declare no conflicts of interest.


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