Adaptive Fuzzy Robust Tracking Control Using Human Electromyogram Signals for Elastic Joint Robots-Reference-Cited by-同舟云学术

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Adaptive Fuzzy Robust Tracking Control Using Human Electromyogram Signals for Elastic Joint Robots

Published:2022 Issue:1 Volume:34 Page:279-294
ISSN:1079-8587
Container-title:Intelligent Automation & Soft Computing
language:en
Short-container-title:

Author:

Souzanchi-K Mahdi,Akbarzadeh-T Mohammad-R,Naghavi Nadia,Sharifnezhad Ali,Khoshdel Vahab

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Software

Link

https://www.techscience.com/iasc/v34n1/47343/pdf

Reference40 articles.

1. Robust nonlinear control schemes for finite-time tracking objective of a 5-DOF robotic exoskeleton;Abooee;International Journal of Control,2019

2. Stability analysis for a passive/active human model in physical human–robot interaction with multiple users;Florian;International Journal of Control,2018

3. A mixed integer programming (MIP) model for evaluating navigation and task planning of human–robot interactions (HRI);Mehmet;Intelligent Servis Robotics,2019

4. Comparison of human-robot interaction torque estimation methods in a wrist rehabilitation exoskeleton;Saadatzi;Journal of Intelligent & Robotic Systems,2019

5. Hierarchical learning control with physical human-exoskeleton interaction;Huang;Information Sciences,2018

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Neuromechanics-Based Neural Feedback Controller for Planar Arm Reaching Movements;Bioengineering;2023-03-30

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