This chapter considers a very different application from that introduced in the previous two chapters. We discuss the application of iterative learning control to robot-assisted upper limb stroke rehabilitation. We develop a combined feedback and iterative learning control-based scheme for regulating the assistive electrical stimulation applied such that the patient gradually recovers lost functionality by repeated attempts at a finite duration task. Convergence performance of Norm Optimal Iterative Learning Control and its acceleration using error corrected reference, as well as the effect of feedback controller, are illustrated via numerical simulations.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Application to Robot-Assisted Upper Extremity Stroke Rehabilitation


    Additional title:

    Advances in Industrial Control


    Contributors:
    Chu, Bing (author) / Owens, David H. (author)


    Publication date :

    2025-06-13


    Size :

    22 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English





    Upper-Limb Exoskeletons for Stroke Rehabilitation

    Ambrosini E. / Dalla Gasperina S. / Gandolla M. et al. | BASE | 2020

    Free access

    Motor and cognitive dynamic difficulty adjustment for robot-mediated upper limb rehabilitation after stroke

    Doumas, Ioannis / Stoquart, Gaëtan / Edwards, Martin et al. | BASE | 2020

    Free access

    Effectiveness of robot-assisted arm therapy in stroke rehabilitation: An overview of systematic reviews

    Straudi S. / Baluardo L. / Arienti C. et al. | BASE | 2022

    Free access

    Effectiveness of robot-assisted arm therapy in stroke rehabilitation: An overview of systematic reviews

    Straudi S. / Baluardo L. / Arienti C. et al. | BASE | 2022

    Free access