Identification of Model Uncertainty using Decimation with Application to Large Space Structure

Abstract In this paper, a new and practical identification method for the model uncertainty is proposed. The identification method is based on the ordinary least-squares identification method in cooperation with the decimation. The key idea of the proposed method is a frequency division by the decimation. The frequency band of the identification object is divided into two parts, that is, one corresponds to the nominal model and the other corresponds to unmodeled dynamics. Effectiveness of the method is examined through actual data that is collected by identification experiments of a ground-based test model for a large space structure (LSS).