BibTeX
@MISC{Ranković_foridentification,
author = {Vesna Ranković and Ilija Nikolić},
title = {FOR IDENTIFICATION OF INDUSTRIAL ROBOT UDC 007.52(045)=111},
year = {}
}
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Abstract
Abstract. The nonlinear system identification via Digital Recurrent Network (DRN) has been studied in this paper. Robots are complex nonlinear dynamic systems with unmodeled dynamics and unstructured uncertainties. In this paper the identification is performed of the complex nonlinear dynamics of the two-link industrial robot. The results of simulation show that the application of the DRN to the identification of the complex nonlinear dynamics gives satisfactory results.
