DocumentCode :
2572789
Title :
A methodology for identification of uncertain LFR model of the human operator for telemanipulation with force-feedback
Author :
Laroche, Edouard ; Barbé, Laurent ; Bayle, Bernard ; De Mathelin, Michel
Author_Institution :
Image Sci., Comput. Sci. & Remote Sensing Lab., Univ. of Strasbourg, Illkirch, France
fYear :
2010
fDate :
15-17 Dec. 2010
Firstpage :
2005
Lastpage :
2010
Abstract :
In this paper, a method for determining an uncertain model is proposed and applied to the identification of the human operator in a telemanipulation scheme. The method consists of two steps: first, several LTI models are identified around different configurations; second, an uncertain linear fractional representation is derived so that it encompasses all the LTI models. As an originality, the approach do not require interpolation of the LTI models and the uncertain parameters do not need to have physical meaning. The method is then applied to identify an original uncertain model of the human operator from experiments. The model is then used to analyse the robustness of a teleoperation setup.
Keywords :
force feedback; linear systems; manipulators; robust control; telerobotics; time-varying systems; uncertain systems; LTI models; force-feedback; human operator; identification; robustness; telemanipulation; uncertain LFR model; Adaptation model; Computational modeling; Force; Humans; Manipulators; Robustness; Uncertainty; LFR model identification; human model; robustness analysis; telemanipulation system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2010 49th IEEE Conference on
Conference_Location :
Atlanta, GA
ISSN :
0743-1546
Print_ISBN :
978-1-4244-7745-6
Type :
conf
DOI :
10.1109/CDC.2010.5717433
Filename :
5717433
Link To Document :
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