Adaptive Compensation Control of Closed-chain Lower Limb Rehabilitation Robots Based on the RBF Neural Network
In the rehabilitation training process of lower limb rehabilitation robots, the existence of uncertain factors such as model parameters and environmental interference will affect the accuracy of trajectory tracking of the robot. To solve this problem, an adaptive compensation control based on the ra...
Saved in:
| Main Authors: | Li Dongqi, Qin Jianjun, Sun Maolin, Zheng Haoran, Li Wei |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Journal of Mechanical Transmission
2024-04-01
|
| Series: | Jixie chuandong |
| Subjects: | |
| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2024.04.008 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Research on Iterative Learning Method for Lower Limb Exoskeleton Rehabilitation Robot Based on RBF Neural Network
by: Jing Li, et al.
Published: (2025-05-01) -
The Effect of Increasing Running Speed on Kinetic Ratio of Lower Limbs in Closed Kinetic Chain
by: Negin Soltani, et al.
Published: (2022-09-01) -
Research on Pose Error Modeling and Compensation of Posture Adjustment Mechanism Based on WOA-RBF Neural Network
by: Hongyu Shen, et al.
Published: (2024-11-01) -
Prosthetic Rehabilitation in the Lower Limb
by: Bernard O'Keeffe, et al.
Published: (2019-01-01) -
Optimal proprioceptive training combined with rehabilitation regimen for lower limb dysfunction in stroke patients: a systematic review and network meta-analysis
by: Kaiqi Zheng, et al.
Published: (2024-12-01)