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Comparison of weighted least squares and extended Kalman filtering methods for dynamic identification of robots

Philippe Poignet, Maxime Gautier

Year
2002
Citations
44

Abstract

This paper presents a comparison of two methods for robot dynamic identification which include the weighted least squares estimation and the extended Kalman filtering. Comparative experimental results and discussion are presented for a SCARA robot.

Keywords

SCARAKalman filterIdentification (biology)Extended Kalman filterRobotLeast-squares function approximationComputer scienceControl theory (sociology)Artificial intelligenceRecursive least squares filter

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