Interval Observer-based Feedback Control ...
Document type :
Communication dans un congrès avec actes
Title :
Interval Observer-based Feedback Control for Rehabilitation in Tremor
Author(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]
Conference title :
ECC 2020 - 18th European Control Conference
City :
Saint-Petersburg
Country :
Russie
Start date of the conference :
2020-05-12
HAL domain(s) :
Sciences de l'ingénieur [physics]/Automatique / Robotique
English abstract : [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 ...
Show more >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.Show less >
Show more >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.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
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