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 11
Issue 3
IEEE/CAA Journal of Automatica Sinica
| Citation: | W. Cao, J. Yan, X. Yang, C. Chen, and X. Guan, “Communication-aware mobile relaying via an AUV for minimal wait time: A broad learning-based solution,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 3, pp. 797–799, Mar. 2024. doi: 10.1109/JAS.2023.124095
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| [1] |
W. Cao, J. Yan, X. Yang, X. Luo, and X. Guan, “Communication-aware formation control of AUVs with model uncertainty and fading channel via integral reinforcement learning,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 1, pp. 159–176, Jan. 2023. doi: 10.1109/JAS.2023.123021
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| [2] |
Z. Zhou, J. Liu, and J. Yu, “A survey of underwater multi-robot systems,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 1, pp. 1–18, Jan. 2022. doi: 10.1109/JAS.2021.1004269
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| [3] |
M. Cheng, Q. Guan, F. Ji, J. Cheng, and W. Chen, “Mobile relaying-based reliable data collection in underwater acoustic sensor networks,” IEEE Wirel. Commun. Lett., vol. 11, no. 9, pp. 1795–1799, Sept. 2022. doi: 10.1109/LWC.2022.3181239
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| [4] |
J. Yan, W. Cao, X. Yang, C. Chen, and X. Guan, “Communication-efficient and collision-free motion planning of underwater vehicles via integral reinforcement learning,” IEEE Trans. Neural Netw. Learn. Syst., 2022.
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| [5] |
A. Bonomo, M. Isakson, and N. Chotiros, “A comparison of finite element and analytic models of acoustic scattering from rough poroelastic interfaces,” J. Acoust. Soc. Am., vol. 33, pp. 235–240, Mar. 2015.
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| [6] |
P. Nicolas, O. Ciaran, and B. Susann, “A Kirchhoff approximation-based numerical method to compute multiple acoustic scattering of a moving source,” Appl. Acoust., vol. 96, no. 1, pp. 108–117, Apr. 2015.
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| [7] |
N. Nadimi, J. Reza, and K. Layeghi., “An efficient acoustic scattering model based on target surface statistical descriptors for synthetic aperture sonar systems,” J. Mar. Sci. Appl., vol. 19, pp. 494–507, 2020. doi: 10.1007/s11804-020-00163-1
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| [8] |
X. Gao, W. Bai, T. Li, L. Yuan, and Y. Long, “Broad learning systembased adaptive optimal control design for dynamic positioning of marine vessels,” Nonlinear Dyn., vol. 105, no. 1, pp. 1593–1609, Jul. 2021.
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| [9] |
C. Chen, D. Yu, and L. Liu, “Automatic leader-follower persistent formation control for autonomous surface vehicles,” IEEE Access, vol. 7, no. 1, pp. 12146–12155, Dec. 2019.
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| [10] |
Y. Zhao, X. Qi, Y. Ma, Z. Li, R. Malekian, and M. Sotelo, “Path following optimization for an underactuated USV using smoothly convergent deep reinforcement learning,” IEEE Trans. Intel. Transp. Syst., vol. 22, no. 10, pp. 6208–6220, Oct. 2021. doi: 10.1109/TITS.2020.2989352
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| [11] |
Y. Wang, K. Li, and Z. Chen, “Battery full life cycle management and health prognosis based on cloud service and broad learning,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 8, pp. 1540–1542, Aug. 2022. doi: 10.1109/JAS.2022.105779
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