Neural control system for a swarm of autonomous underwater vehicles-Reference-Cited by-同舟云学术

Neural control system for a swarm of autonomous underwater vehicles

Published:2023-09 Issue: Volume:276 Page:110783
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Praczyk Tomasz^ORCID

Funder

European Defence Agency

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference51 articles.

1. Current algorithms, communication methods and designs for underwater swarm robotics: A review;Connor;IEEE Sens. J.,2021

2. A review of the path planning and formation control for multiple autonomous underwater vehicles;Hadi;J. Intell. Robot. Syst.,2021

3. T. Praczyk, Swarm of autonomous underwater vehicles - preliminaries, in: Proceedings of 20th International Conference on Transport Science, 2022, pp. 299–305.

4. Swarm robotics: A perspective on the latest reviewed concepts and applications;Dias;Sensors,2021

5. A survey of autonomous underwater vehicle formation: Performance, formation control, and communication capability;Yang;IEEE Commun. Surv. Tutor.,2021

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1. Using Hill Climb Assembler Encoding neural networks to control follower vehicles in an underwater swarm;Applied Soft Computing;2024-07

2. Distributed short-term predictive control for AUV clusters in underwater cooperative hunting tasks;Ocean Engineering;2024-06

3. Research on the Influencing Factors of AUV Hovering Control in Null-Speed State;Journal of Marine Science and Engineering;2024-04-27

4. A dynamic velocity potential field method for multi-AUV cooperative hunting tasks;Ocean Engineering;2024-03

5. Formation control of multi-agent systems with actuator saturation via neural-based sliding mode estimators;Knowledge-Based Systems;2024-01