Joint torques estimation in human standing based on a fuzzy descriptor unknown inputs observer
Modeling and Control in Biomedical Systems, Volume # 6 | Part# 1
Authors
Kevin Guelton; Sébastien Delpart; Thierry Marie Guerra
Identifier
10.3182/20060920-3-FR-2912.00073
Index Terms
human torque estimation,human standing,double inverted pendulum,descriptor systems,fuzzy observers
Abstract
An alternative to inverse dynamics joint torques estimation in standing human is proposed by the use of an unknown input observer that allows the real time estimation of both the joint torques and the angular velocities from angular positions measurement. To design such observer, a state space descriptor dynamical model of the considered movement is proposed. Then, the considered model being non linear, we used Takagi-Sugeno fuzzy modeling to synthesis the non linear observer and to prove the convergence of the state (position, velocities and torques) estimation errors.
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