Neural learning impedance control of lower limb rehabilitation exoskeleton with flexible joints in the presence of input constraints-Reference-Cited by-同舟云学术

Neural learning impedance control of lower limb rehabilitation exoskeleton with flexible joints in the presence of input constraints

Published:2022-10-04 Issue:7 Volume:33 Page:4191-4209
ISSN:1049-8923
Container-title:International Journal of Robust and Nonlinear Control
language:en
Short-container-title:Intl J Robust & Nonlinear

Author:

Yang Yong¹,Huang Deqing²,Jin Chengwu¹,Liu Xia¹,Li Yanan³

Affiliation:

1. School of Electrical Engineering and Electronic Information Xihua University Chengdu People's Republic of China

2. School of Electrical Engineering Southwest Jiaotong University Chengdu People's Republic of China

3. School of Engineering and Informatics University of Sussex Brighton UK

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanical Engineering,Aerospace Engineering,Biomedical Engineering,General Chemical Engineering,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/rnc.6390

Reference62 articles.

1. Guidelines for Adult Stroke Rehabilitation and Recovery

2. Co-Contraction of Lower Limb Muscles Contributes to Knee Stability During Stance Phase in Hemiplegic Stroke Patients

3. Efficacy of early rehabilitation therapy on movement ability of hemiplegic lower extremity in patients with acute cerebrovascular accident

4. Neural networks impedance control of robots interacting with environments

5. Novel adaptive impedance control for exoskeleton robot for rehabilitation using a nonlinear time-delay disturbance observer

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