Attitude Control Method of Six Degree of Freedom Autonomous Underwater Vehicle Based on RBF Neural Network-Reference-Cited by-同舟云学术

Attitude Control Method of Six Degree of Freedom Autonomous Underwater Vehicle Based on RBF Neural Network

Published:2021-11-19 Issue: Volume: Page:
ISSN:
Container-title:2021 7th International Conference on Robotics and Artificial Intelligence
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Author:

Zhu Xuewen¹,Tan Fuxiao²

Affiliation:

1. College of Ocean Science and Engineering, Shanghai Maritime University, China

2. Logistics Engineering College, Shanghai Maritime University, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3505688.3505700

Reference22 articles.

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3. Sample Preprocessing Platform Based on Dissolution Method and Its Control System Design;Yang Liangen;Journal of Automation and Control Engineering,2020

4. R. R. Selmic and F. L. Lewis , " Deadzone compensation in motion control systems using neural networks," Proceedings of the 1998 IEEE International Conference on Control Applications (Cat. No.98CH36104) , 1998 , pp. 288 - 292 vol. 1 , doi: 10.1109/CCA.1998.728426. R. R. Selmic and F. L. Lewis, "Deadzone compensation in motion control systems using neural networks," Proceedings of the 1998 IEEE International Conference on Control Applications (Cat. No.98CH36104), 1998, pp. 288-292 vol.1, doi: 10.1109/CCA.1998.728426.

5. Neural-network predictive control for nonlinear dynamic systems with time-delay

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