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
-
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) -
Bounded Control of an Actuated Lower-Limb Exoskeleton
by: Michael Oluwatosin Ajayi, et al.
Published: (2017-01-01) -
Biomechanical models in the lower-limb exoskeletons development: a review
by: Vahid Firouzi, et al.
Published: (2025-01-01) -
Generalized Multiphase Dynamic Modeling and Precision Interaction Force Control of a Walking Lower Limb Hydraulic Exoskeleton
by: Shan Chen, et al.
Published: (2022-01-01) -
A Review on Compliant Joint Mechanisms for Lower Limb Exoskeletons
by: Miguel A. Gálvez-Zúñiga, et al.
Published: (2016-01-01)