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

*Kontaktforfatter

Publikation: Bidrag til bog/antologi/rapport/konference proceedingBidrag til bog/antologiForskningpeer review

2 Citationer (Scopus)

Abstrakt

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.
OriginalsprogEngelsk
TitelICNR 2018 : Converging Clinical and Engineering Research on Neurorehabilitation III
Antal sider5
ForlagSpringer
Publikationsdato2019
Sider546-550
ISBN (Trykt)978-3-030-01844-3
ISBN (Elektronisk)978-3-030-01845-0
DOI
StatusUdgivet - 2019
BegivenhedInternational Conference on Neurorehabilitation - Pisa, Italien
Varighed: 16 okt. 201820 okt. 2018
http://www.icnr2018.org

Konference

KonferenceInternational Conference on Neurorehabilitation
Land/OmrådeItalien
ByPisa
Periode16/10/201820/10/2018
Internetadresse
NavnBiosystems and Biorobotics
Vol/bind21
ISSN2195-3562

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