Joint torques estimation in human standing based on a fuzzy descriptor unknown inputs observer - Université de Reims Champagne-Ardenne Access content directly
Journal Articles IFAC Proceedings Volumes Year : 2006

Joint torques estimation in human standing based on a fuzzy descriptor unknown inputs observer

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.
No file

Dates and versions

hal-01736811 , version 1 (18-03-2018)

Identifiers

Cite

Kevin Guelton, Sebastien Delprat, Thierry-Marie Guerra. Joint torques estimation in human standing based on a fuzzy descriptor unknown inputs observer. IFAC Proceedings Volumes, 2006, 39 (18), pp.405 - 410. ⟨10.3182/20060920-3-FR-2912.00073⟩. ⟨hal-01736811⟩
46 View
0 Download

Altmetric

Share

Gmail Mastodon Facebook X LinkedIn More