Disturbance Observer-Based Cooperative Learning Tracking Control for Multi-Manipulators-Reference-Cited by-同舟云学术

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Disturbance Observer-Based Cooperative Learning Tracking Control for Multi-Manipulators

Published:2020-11-13 Issue: Volume: Page:
ISSN:
Container-title:2020 7th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS)
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Author:

Ni Jun,Shi Haotian,Wang Min

Funder

National Natural Science Foundation of China

Outstanding Youth Program of the Guangdong Natural Science Foundation

Guangdong Natural Science Foundation

Guangzhou Science and Technology Project

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9336788/9336758/09336885.pdf?arnumber=9336885

Cited by 4 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. A Novel Adaptive Sliding Mode Control of Robot Manipulator Based on RBF Neural Network and Exponential Convergence Observer;Neural Processing Letters;2023-03-28

2. Multi-Arm Global Cooperative Coal Gangue Sorting Method Based on Improved Hungarian Algorithm;Sensors;2022-10-19

3. Adaptive coordinated motion constraint control for cooperative multi-manipulator systems;The International Journal of Advanced Manufacturing Technology;2022-01-11

4. Neural Network-Cascade UDE Based Tracking Control of Leader-Follower Agents with Compound Uncertainties;2021 International Conference on Computers and Automation (CompAuto);2021-09

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