A Novel RBF Neural Network-Based Iterative Learning Control For Lower Limb Rehabilitation Robot With Strong Robustness-Reference-Cited by-同舟云学术

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A Novel RBF Neural Network-Based Iterative Learning Control For Lower Limb Rehabilitation Robot With Strong Robustness

Published:2019-07 Issue: Volume: Page:
ISSN:
Container-title:2019 Chinese Control Conference (CCC)
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Author:

Sun Zhongbo,Li Feng,Wang Gang,Liu Yongbai,Lian Yufeng,Liu Keping

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8844507/8865119/08866001.pdf?arnumber=8866001

Cited by 8 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. Online Parameter Identification for Surface-mounted Magnet Synchronous Motors based on Adaptive RBF Neural Network;2023 26th International Conference on Electrical Machines and Systems (ICEMS);2023-11-05

2. Modelling and RBF Control of Low-Limb Swinging Dynamics of a Human–Exoskeleton System;Actuators;2023-09-06

3. A Multi-Joint Continuous Motion Estimation Method of Lower Limb Using Least Squares Support Vector Machine and Zeroing Neural Network based on sEMG signals;Neural Processing Letters;2022-08-08

4. Humanoid control of lower limb exoskeleton robot based on human gait data with sliding mode neural network;CAAI Transactions on Intelligence Technology;2022-08-07

5. Robust Iterative Learning Control Algorithm for Lower Limb Rehabilitation Proactive Human-robot Collaboration;WSEAS TRANSACTIONS ON COMPUTERS;2022-06-30

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