Self-adaptive neuro-fuzzy systems for autonomous underwater vehicle control-Reference-Cited by-同舟云学术

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Self-adaptive neuro-fuzzy systems for autonomous underwater vehicle control

Published:2001-01 Issue:5 Volume:15 Page:589-608
ISSN:0169-1864
Container-title:Advanced Robotics
language:en
Short-container-title:Advanced Robotics

Author:

Lee C. S. George¹,Wang Jeen-Shing²,Yuh Junku³

Affiliation:

1. a School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USA

2. b School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USA

3. c Department of Mechanical Engineering, University of Hawaii, Honolulu, HI 96822, USA

Publisher

Informa UK Limited

Subject

Computer Science Applications,Hardware and Architecture,Human-Computer Interaction,Software,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1163/156855301317033586

Reference22 articles.

1. Modeling and control of underwater robotic vehicles

2. Robust trajectory control of underwater vehicles

3. The influence of thruster dynamics on underwater vehicle behavior and their incorporation into control system design

Cited by 14 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. Guidance and control methodologies for marine vehicles: A survey;Control Engineering Practice;2021-06

2. Robust tracking control of an underwater vehicle and manipulator system based on double closed-loop integral sliding mode;International Journal of Advanced Robotic Systems;2020-07-01

3. Dynamic Control of 6-DOF AUVs and Fault Detection/Tolerance Strategies;Underwater Robots;2018

4. Survey on Fuzzy-Logic-Based Guidance and Control of Marine Surface Vehicles and Underwater Vehicles;International Journal of Fuzzy Systems;2017-10-23

5. Reactive navigation of underwater mobile robot using ANFIS approach in a manifold manner;International Journal of Automation and Computing;2017-03-17

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