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