Modeling and Control of Rehabilitation Robotic Device: motoBOTTE

Juan Carlos Arceo; Jimmy Lauber; Lucien Robinault; Sebastien Paganelli; Mads Jochumsen; Imran Khan Niazi; Emilie Simoneau; Sylvain Cremoux

doi:10.1007/978-3-030-01845-0_110

Modeling and Control of Rehabilitation Robotic Device: motoBOTTE

Juan Carlos Arceo, Jimmy Lauber^*, Lucien Robinault, Sebastien Paganelli, Mads Jochumsen, Imran Khan Niazi, Emilie Simoneau, Sylvain Cremoux

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Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Bidrag til bog/antologi › Forskning › peer review

2 Citationer (Scopus)

Abstract

The motoBOTTE is a robot designed for assistive rehabilitation. The identification of a mathematical model for the system is shown; then we design and implement a nonlinear control law for tracking a reference signal. The nonlinear controller design is achieved by combining an exact convex representation with the direct method of Lyapunov. Results are given in terms of linear matrix inequalities (LMI); simulation and real-time results are shown as well.

Originalsprog	Engelsk
Titel	ICNR 2018 : Converging Clinical and Engineering Research on Neurorehabilitation III
Antal sider	5
Forlag	Springer
Publikationsdato	2019
Sider	546-550
ISBN (Trykt)	978-3-030-01844-3
ISBN (Elektronisk)	978-3-030-01845-0
DOI	https://doi.org/10.1007/978-3-030-01845-0_110
Status	Udgivet - 2019
Begivenhed	International Conference on Neurorehabilitation - Pisa, Italien Varighed: 16 okt. 2018 → 20 okt. 2018 http://www.icnr2018.org

Konference

Konference	International Conference on Neurorehabilitation
Land/Område	Italien
By	Pisa
Periode	16/10/2018 → 20/10/2018
Internetadresse	http://www.icnr2018.org

Navn	Biosystems and Biorobotics
Vol/bind	21
ISSN	2195-3562

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10.1007/978-3-030-01845-0_110

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Citationsformater

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abstract = "The motoBOTTE is a robot designed for assistive rehabilitation. The identification of a mathematical model for the system is shown; then we design and implement a nonlinear control law for tracking a reference signal. The nonlinear controller design is achieved by combining an exact convex representation with the direct method of Lyapunov. Results are given in terms of linear matrix inequalities (LMI); simulation and real-time results are shown as well.",

author = "Arceo, {Juan Carlos} and Jimmy Lauber and Lucien Robinault and Sebastien Paganelli and Mads Jochumsen and Niazi, {Imran Khan} and Emilie Simoneau and Sylvain Cremoux",

note = "Funding Information: This work was supported by the University of Valenciennes. Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2019. Copyright: Copyright 2018 Elsevier B.V., All rights reserved.; International Conference on Neurorehabilitation, ICNR ; Conference date: 16-10-2018 Through 20-10-2018",

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doi = "10.1007/978-3-030-01845-0_110",

language = "English",

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Arceo, JC, Lauber, J, Robinault, L, Paganelli, S, Jochumsen, M , Niazi, IK, Simoneau, E & Cremoux, S 2019, Modeling and Control of Rehabilitation Robotic Device: motoBOTTE. i ICNR 2018: Converging Clinical and Engineering Research on Neurorehabilitation III. Springer, Biosystems and Biorobotics, bind 21, s. 546-550, International Conference on Neurorehabilitation, Pisa, Italien, 16/10/2018. https://doi.org/10.1007/978-3-030-01845-0_110

Modeling and Control of Rehabilitation Robotic Device: motoBOTTE. / Arceo, Juan Carlos; Lauber, Jimmy; Robinault, Lucien et al.
ICNR 2018: Converging Clinical and Engineering Research on Neurorehabilitation III. Springer, 2019. s. 546-550 (Biosystems and Biorobotics, Bind 21).

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Bidrag til bog/antologi › Forskning › peer review

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T1 - Modeling and Control of Rehabilitation Robotic Device

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AU - Arceo, Juan Carlos

AU - Lauber, Jimmy

AU - Robinault, Lucien

AU - Paganelli, Sebastien

AU - Jochumsen, Mads

AU - Niazi, Imran Khan

AU - Simoneau, Emilie

AU - Cremoux, Sylvain

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PY - 2019

Y1 - 2019

N2 - The motoBOTTE is a robot designed for assistive rehabilitation. The identification of a mathematical model for the system is shown; then we design and implement a nonlinear control law for tracking a reference signal. The nonlinear controller design is achieved by combining an exact convex representation with the direct method of Lyapunov. Results are given in terms of linear matrix inequalities (LMI); simulation and real-time results are shown as well.

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Modeling and Control of Rehabilitation Robotic Device: motoBOTTE

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