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

*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceedingBook chapterResearchpeer-review

2 Citations (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.
Original languageEnglish
Title of host publicationICNR 2018 : Converging Clinical and Engineering Research on Neurorehabilitation III
Number of pages5
PublisherSpringer
Publication date2019
Pages546-550
ISBN (Print)978-3-030-01844-3
ISBN (Electronic)978-3-030-01845-0
DOIs
Publication statusPublished - 2019
EventInternational Conference on Neurorehabilitation - Pisa, Italy
Duration: 16 Oct 201820 Oct 2018
http://www.icnr2018.org

Conference

ConferenceInternational Conference on Neurorehabilitation
Country/TerritoryItaly
CityPisa
Period16/10/201820/10/2018
Internet address
SeriesBiosystems and Biorobotics
Volume21
ISSN2195-3562

Bibliographical note

Funding Information:
This work was supported by the University of Valenciennes.

Publisher Copyright:
© Springer Nature Switzerland AG 2019.

Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.

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