A deep Q network assisted method for underwater gliders standoff tracking to the static target-Reference-Cited by-同舟云学术

A deep Q network assisted method for underwater gliders standoff tracking to the static target

Published:2022-08-07 Issue:23 Volume:34 Page:20575-20587
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Zang Wenchuan,Yao Peng,Lv Kunling,Song Dalei^ORCID

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

https://link.springer.com/content/pdf/10.1007/s00521-022-07408-w.pdf

Reference29 articles.

1. Petritoli E, Cagnetti M, Leccese F (2020) Simulation of autonomous underwater vehicles (auvs) swarm diffusion. Sensors 20(17):4950

2. Petritoli E, Leccese F, Cagnetti M (2020) Underwater gliders: mission profiles and utilisation strategies in the mediterranean sea. In: 2019 IMEKO TC19 international workshop on metrology for the sea: learning to measure sea health parameters. MetroSea 2019, pp 254–258

3. Zhang Y, Zhang Z, Quan Z, Liu G-L (2021) Hydrodynamic performance and calculation of lift-drag ratio on underwater glider. J Mar Sci Technol 26(1):16–23

4. Zang W, Yao P, Song D (2022) Standoff tracking control of underwater glider to moving target. Appl Math Modell 102:1–20

5. Du X, Zhang X (2020) Influence of ocean currents on the stability of underwater glider self-mooring motion with a cable. Nonlinear Dyn 99(3):2291–2317

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