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A Novel Iterative Second-Order Neural-Network Learning Control Approach for Robotic Manipulators

  • Published:2023 Issue: Volume:11 Page:58318-58332
  • ISSN:2169-3536
  • Container-title:IEEE Access
  • language:
  • Short-container-title:IEEE Access

Author:

Ba Dang Xuan1ORCID,Thien Nguyen Trung2,Bae Joonbum3ORCID

Affiliation:

1. Department of Automatic Control, HCMC University of Technology and Education, Ho Chi Minh City, Vietnam

2. Viettel Manufacturing Corporation, Hanoi, Vietnam

3. Department of Mechanical Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Korea

Funder

Ministry of Education and Training, Ho Chi Minh City University of Technology and Education, Vietnam

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Cited by 2 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. Characterization of core researches on Iterative Learning of Robot: a bibliometric analysis;2023 8th International Conference on Control, Robotics and Cybernetics (CRC);2024-12-22

2. Data-Driven LightGBM Controller for Robotic Manipulator;IEEE Access;2024
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