Abstract
This paper discusses the use of system identification techniques to estimate the coefficients of a transfer function model directly from data. Data from an experiment is used to demonstrate that the technique can be successfully applied. Results of the analysis are presented and discussed. Z-transfer function coefficients are obtained using both frequency response analysis and least squares regression in time domain
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