Zonotopic Kalman Filter-Based Velocity Estimation for Autonomous Underwater Vehicles-Reference-Cited by-同舟云学术

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Zonotopic Kalman Filter-Based Velocity Estimation for Autonomous Underwater Vehicles

Published:2024-05-17 Issue: Volume:12 Page:1198-1203
ISSN:
Container-title:2024 IEEE 13th Data Driven Control and Learning Systems Conference (DDCLS)
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Author:

Liu Yuxi¹,Li Jitao¹,Zhang Wenhan²,Chen Aijun³,Wang Zhenhua⁴,Zhang Mingjun¹

Affiliation:

1. College of Mechanical and Electrical Engineering, Harbin Engineering University,Harbin,China,150001

2. Aerospace System Engineering Shanghai,Shanghai,P. R. China,201109

3. Shanghai Institute of Satellite Engineering,Shanghai,P. R. China,201109

4. School of Astronautics, Harbin Institute of Technology,Harbin,China,150001

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10606543/10606546/10606644.pdf?arnumber=10606644

Reference26 articles.

1. Handbook of Marine Craft Hydrodynamics and Motion Control

2. Develop-ment of control system in abdominal operating rov;Zhang;Chinese Journal of Ship Research,2017

3. Acoustic communication and imaging sonar guided AUV docking: system infrastructure, docking methodology and lake trials

4. Trajectory Tracking Control for Autonomous Underwater Vehicles Based on Fuzzy Re-Planning of a Local Desired Trajectory

5. Adaptive region tracking control with prescribed transient performance for autonomous underwater vehicle with thruster fault

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