Force Tracking Control of Lower Extremity Exoskeleton Based on a New Recurrent Neural Network
The lower extremity exoskeleton can enhance the ability of human limbs, which has been used in many fields. It is difficult to develop a precise force tracking control approach for the exoskeleton because of the dynamics model uncertainty, external disturbances, and unknown human–robot interactive f...
Saved in:
Main Authors: | Yuxuan Cao, Jie Chen, Li Gao, Jiqing Luo, Jinyun Pu, Shengli Song |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2024-01-01
|
Series: | Applied Bionics and Biomechanics |
Online Access: | http://dx.doi.org/10.1155/2024/5870060 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Lower Extremity Exoskeleton for Human Spinal Cord Injury: A Comprehensive Review
by: Tianci Wang, et al.
Published: (2024-01-01) -
Review and Development Trend of the Research on Unpowered Lower Extremity Exoskeleton Robot
by: Kai Zheng, et al.
Published: (2021-04-01) -
Mechanism Optimization of Weight-Bearing Lower Extremity Exoskeleton based on Analysis of Multi Degree of Freedom
by: Chen Zhiqing, et al.
Published: (2016-01-01) -
Gait Planning of Lower Extremity Exoskeleton Climbing Stair based on Online ZMP Correction
by: Zhenzhong Yu, et al.
Published: (2020-01-01) -
Retracted: Robust LQR-Based Neural-Fuzzy Tracking Control for a Lower Limb Exoskeleton System with Parametric Uncertainties and External Disturbances
by: Applied Bionics and Biomechanics
Published: (2023-01-01)