Fuzzy neural network adaptive AUV control based on FTHGO-Reference-Cited by-同舟云学术

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Fuzzy neural network adaptive AUV control based on FTHGO

Published:2024-03-22 Issue: Volume: Page:1-13
ISSN:1744-5302
Container-title:Ships and Offshore Structures
language:en
Short-container-title:Ships and Offshore Structures

Author:

Yu Guoyan¹²,He Feiyang¹³,Liu Haitao¹

Affiliation:

1. School of Mechanical Engineering, Guangdong Ocean University, Zhanjiang, People’s Republic of China

2. Southern Marine Science and Engineering Guangdong Laboratory (Zhanjiang), Zhanjiang, People’s Republic of China

3. Guangdong Provincial Marine Equipment and Manufacturing Engineering Technology Research Center, Zhanjiang, People’s Republic of China

Funder

Guangdong Inter-regional Collaborative Fund

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/17445302.2024.2331311

Reference27 articles.

1. High-gain observer-based output feedback control with sensor dynamic governed by parabolic PDE

2. Hypersonic Missile Adaptive Sliding Mode Control Using Finite- and Fixed-Time Observers

3. Path planning and obstacle avoidance for AUV: A review

4. Composite learning adaptive sliding mode control for AUV target tracking

5. On output feedback nonlinear model predictive control using high gain observers for a class of systems

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1. Cascaded safety trajectory tracking control for a hovercraft with double-loop prescribed performance and state constraints;Ships and Offshore Structures;2024-07-26

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