A journal of IEEE and CAA , publishes
high-quality papers in English on original
theoretical/experimental research
and development in all areas of automation
Volume 10
Issue 2
IEEE/CAA Journal of Automatica Sinica
| Citation: | Z. Q. Han, Y. T. Wang, and Q. Sun, “Straight-path following and formation control of USVs using distributed deep reinforcement learning and adaptive neural network,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 2, pp. 572–574, Feb. 2023. doi: 10.1109/JAS.2023.123255
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Z. Peng, J. Wang, D. Wang, and Q.-L. Han, “An overview of recent advances in coordinated control of multiple autonomous surface vehicles,” IEEE Trans. Ind. Informat., vol. 17, no. 2, pp. 732–745, 2021. doi: 10.1109/TII.2020.3004343
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Z. Peng, J. Wang, and Q.-L. Han, “Path-following control of autonomous underwater vehicles subject to velocity and input constraints via neurodynamic optimization,” IEEE Trans. Ind. Electron., vol. 66, no. 11, pp. 8724–8732, 2019. doi: 10.1109/TIE.2018.2885726
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Z. Zhang, Y. Shi, Z. Zhang, and W. Yan, “New results on sliding-mode control for takagi-sugeno fuzzy multiagent systems,” IEEE Trans. Cybern., vol. 49, no. 5, pp. 1592–1604, 2019. doi: 10.1109/TCYB.2018.2804759
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L. Chen, R. Cui, C. Yang, and W. Yan, “Adaptive neural network control of underactuated surface vessels with guaranteed transient performance: Theory and experimental results,” IEEE Trans. Ind. Electron., vol. 67, no. 5, pp. 4024–4035, 2020. doi: 10.1109/TIE.2019.2914631
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C. Shen, Y. Shi, and B. Buckham, “Trajectory tracking control of an autonomous underwater vehicle using Lyapunov-based model predictive control,” IEEE Trans. Ind. Electron., vol. 65, no. 7, pp. 5796–5805, 2018. doi: 10.1109/TIE.2017.2779442
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A. B. Martinsen and A. M. Lekkas, “Straight-path following for underactuated marine vessels using deep reinforcement learning,” IFAC-PapersOnLine, vol. 51, no. 29, pp. 329–334, 2018. doi: 10.1016/j.ifacol.2018.09.502
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J. Woo, C. Yu, and N. Kim, “Deep reinforcement learning-based controller for path following of an unmanned surface vehicle,” Ocean Eng., vol. 183, pp. 155–166, 2019. doi: 10.1016/j.oceaneng.2019.04.099
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S. Wang, F. Ma, X. Yan, P. Wu, and Y. Liu, “Adaptive and extendable control of unmanned surface vehicle formations using distributed deep reinforcement learning,” Appl. Ocean Res., vol. 110, p. 102590, 2021.
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