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Journal Articles Automatica Year : 2022

Finite Dimensional Approximation to Muscular Response in Force-Fatigue Dynamics using Functional Electrical Stimulation

Abstract

Recent dynamical models, based on the seminal work of V. Hill, allow to predict the muscular response to functional electrostimulation (FES), in the isometric and non-isometric cases. The physical controls are modeled as Dirac pulses and lead to a sampled-data control system, sampling corresponding to times of the stimulation, where the output is the muscular force response. Such a dynamics is suitable to compute optimized controls aiming to produce a constant force or force strengthening, but is complex for real time applications. The objective of this article is to construct a finite dimensional approximation of this response to provide fast optimizing schemes, in particular for the design of a smart electrostimulator for muscular reinforcement or rehabilitation. It is an on-going industrial project based on force-fatigue models, validated by experiments. Moreover it opens the road to application of optimal control to track a reference trajectory in the joint angular variable to produce movement in the non-isometric models.
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Dates and versions

hal-03154450 , version 1 (01-03-2021)
hal-03154450 , version 2 (12-03-2021)
hal-03154450 , version 3 (29-04-2022)

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Cite

Toufik Bakir, Bernard Bonnard, Sandrine Gayrard, Jérémy Rouot. Finite Dimensional Approximation to Muscular Response in Force-Fatigue Dynamics using Functional Electrical Stimulation. Automatica, 2022, ⟨10.1016/j.automatica.2022.110464⟩. ⟨hal-03154450v3⟩
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