Interval Observer-based Feedback Control ...
Type de document :
Communication dans un congrès avec actes
Titre :
Interval Observer-based Feedback Control for Rehabilitation in Tremor
Auteur(s) :
Degue, Kwassi [Auteur]
École Polytechnique de Montréal [EPM]
Efimov, Denis [Auteur]
Finite-time control and estimation for distributed systems [VALSE]
Le Ny, Jerome [Auteur]
École Polytechnique de Montréal [EPM]
École Polytechnique de Montréal [EPM]
Efimov, Denis [Auteur]
Finite-time control and estimation for distributed systems [VALSE]
Le Ny, Jerome [Auteur]
École Polytechnique de Montréal [EPM]
Titre de la manifestation scientifique :
ECC 2020 - 18th European Control Conference
Ville :
Saint-Petersburg
Pays :
Russie
Date de début de la manifestation scientifique :
2020-05-12
Discipline(s) HAL :
Sciences de l'ingénieur [physics]/Automatique / Robotique
Résumé en anglais : [en]
Tremor, one of the most common health disorders , is defined as a chronic movement disorder. To reduce tremor in patients, the design of stabilizing techniques is critical. For this purpose, we consider an uncertain ...
Lire la suite >Tremor, one of the most common health disorders , is defined as a chronic movement disorder. To reduce tremor in patients, the design of stabilizing techniques is critical. For this purpose, we consider an uncertain continuous-time linear time-varying oscillator model of tremor in this article. We design a state feedback control for deep brain stimulation technique by considering the practical case in which only sets of admissible values are given for the nominal values of the stimulation amplitude, the time-varying tremor's angular frequency and the tremor measurement noise. First, we estimate state signal bounds that include the true unknown value of the state. Next, we design a stabilizing control input based on the estimated bounds. The stability of the controlled system is verified using linear matrix inequalities (LMIs). We demonstrate the methodology's performance in numerical simulations.Lire moins >
Lire la suite >Tremor, one of the most common health disorders , is defined as a chronic movement disorder. To reduce tremor in patients, the design of stabilizing techniques is critical. For this purpose, we consider an uncertain continuous-time linear time-varying oscillator model of tremor in this article. We design a state feedback control for deep brain stimulation technique by considering the practical case in which only sets of admissible values are given for the nominal values of the stimulation amplitude, the time-varying tremor's angular frequency and the tremor measurement noise. First, we estimate state signal bounds that include the true unknown value of the state. Next, we design a stabilizing control input based on the estimated bounds. The stability of the controlled system is verified using linear matrix inequalities (LMIs). We demonstrate the methodology's performance in numerical simulations.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Collections :
Source :
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