Intelligent AUV Surfacing Control in Network Attack Scenario
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11265-024-01916-9.pdf
Reference20 articles.
1. Phillips, A. B., et al. (2020). Autosub 2000 under ice: design of a new work class AUV for under ice exploration. IEEE/OES Autonomous Underwater Vehicles Symposium (AUV), 2020, 1–8. https://doi.org/10.1109/AUV50043.2020.9267952
2. Ferreira, F., Petroccia, R., & Alves, J. (2018). Increasing the operational safety of autonomous underwater vehicles using the JANUS communication standard. IEEE/OES Autonomous Underwater Vehicle Workshop (AUV), 2018, 1–6. https://doi.org/10.1109/AUV.2018.8729757
3. Qiu, M., & Li, J. (2011). Real-time embedded systems: optimization, synthesis, and networking. CRC Press.
4. Sutton, R. S., & Barto, A. G. (1998). Reinforcement Learning: An Introduction. IEEE Transactions on Neural Networks, 9(5), 1054–1054. https://doi.org/10.1109/TNN.1998.712192
5. Kober, J., Bagnell, J. A., & Peters, J. (2013). ‘Reinforcement learning in robotics: A survey.’ International Journal of Robotics Research, 32(11), 1238–1274.
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