Data-Driven Predictive Control of Exoskeleton for Hand Rehabilitation with Subspace Identification

This study proposed a control method, a data-driven predictive control (DDPC), for the hand exoskeleton used for active, passive, and resistive rehabilitation. DDPC is a model-free approach based on past system data. One of the strengths of DDPC is that constraints of states can be added to the cont...

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Detalles Bibliográficos
Autores principales: Kaplanoglu, Erkan, Akgun, Gazi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9573718/
https://www.ncbi.nlm.nih.gov/pubmed/36236742
http://dx.doi.org/10.3390/s22197645

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9573718/
https://www.ncbi.nlm.nih.gov/pubmed/36236742
http://dx.doi.org/10.3390/s22197645

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