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Adptive Heading Control of Underactuated Unmanned Surface Vehicle Based on Improved Backpropagation Neural Network


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Y. L. Liao, Y. Li, K. W. Pan, et al., ‘Adaptive Multi-body Yawing Filter of Wave Driven Robot with Dynamic Response Amending,’ Ocean Engineering, vol. 242, pp. 1-11(110167), December 2021. doi: 10.1016/j.oceaneng.2021.110167. Open DOISearch in Google Scholar

G. Shao, Y. Ma, R. Malekian, et al., ‘A novel cooperative platform design for coupled USV-UAV systems,’ IEEE Transactions on Industrial Informatics, vol. 15, no. 9, pp. 4913-4922, April 2019. doi: 10.1109/TII.2019.2912024. Open DOISearch in Google Scholar

G. Q. Zhang, W. Yu, W. D. Zhang, et al., ‘Robust adaptive formation control of underactuated surface vehicles with the desired-heading amendment,’ Journal of Marine Science and Technology, vol. 27, pp. 138-150, June 2021. doi: 10.1007/s00773-021-00820-2. Open DOISearch in Google Scholar

Y. Peng, Y. Yang, J. X. Cui, et al., ‘Development of the USV ‘JingHai-I’ and sea trials in the southern Yellow Sea,’ Ocean Engineering, vol. 131, pp. 186-196, February 2017. doi: 10.1016/j.oceaneng.2016.09.001. Open DOISearch in Google Scholar

Y. L. Liao, Z. H. Jia, W. B. Zhang, et al., ‘Layered berthing method and experiment of unmanned surface vehicle based on multiple constraints analysis,’ Applied Ocean Research, vol. 86, no. 5, pp. 47-60, May 2019. doi: 10.1016/j.apor.2019.02.003. Open DOISearch in Google Scholar

A. Stateczny, P. Burdziakowski, ‘Universal Autonomous Control and Management System for Multipurpose Unmanned Surface Vessel,’ Polish Maritime Research, vol. 26, no. 1, pp. 30-39, March 2019. doi: 10.2478/pomr-2019-0004. Open DOISearch in Google Scholar

J. Kim, ‘Target following and close monitoring using an unmanned surface vehicle,’ IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 50, no. 11, pp. 4233-4242, November 2020. doi: 10.1109/TSMC.2018.2846602. Open DOISearch in Google Scholar

Y. L. Liao, Q. Q. Jiang, T. P. Du, et al., ‘Redefined output model-free adaptive control method and unmanned surface vehicle heading control,’ IEEE Journal of Oceanic Engineering, vol. 45, no. 3, pp. 714-723, July 2020. doi: 10.1109/JOE.2019.2896397. Open DOISearch in Google Scholar

J. X. Hu, Y. Ge, X. Zhou, et al., ‘Research on the course control of USV based on improved ADRC,’ Systems Science & Control Engineering, vol. 9, no. 1, pp. 44-51, January 2021. doi: 10.1080/21642583.2020.1865216. Open DOISearch in Google Scholar

M. R. Neria, R. Madonski, S. Shao, et al., ‘Robust tracking in underactuated systems using flatness-based ADRC with cascade observers,’ Journal of Dynamic Systems Measurement and Control - Transactions of the ASME, vol. 142, no. 9, pp. 1-9, September 2020. doi: 10.1115/1.4046799. Open DOISearch in Google Scholar

M. H. Khooban, N. Vafamand, T. Dragicevic, et al., ‘Polynomial fuzzy model-based approach for underactuated surface vessels,’ IET Control Theory and Applications, vol. 12, no. 7, pp. 914-921, February 2018. doi: 10.1049/iet-cta.2017.1106. Open DOISearch in Google Scholar

Y. G. Deng, X. K. Zhang, N. Im, et al., ‘Adaptive fuzzy tracking control for underactuated surface vessels with unmodeled dynamics and input saturation,’ ISA Transactions, vol. 103, pp. 52-62, August 2020. doi: 10.1016/j.isatra.2020.04.010. Open DOISearch in Google Scholar

Z. P. Dong, Y. Liu, H. Wang, et al., ‘Method of cooperative formation control for underactuated USVs based on nonlinear backstepping and cascade system theory,’ Polish Maritime Research, vol. 28, no. 1, pp. 149-162, March 2021. doi: 10.2478/pomr-2021-0014. Open DOISearch in Google Scholar

T. Lin, Y. W. Huang., ‘Course regulation for USV by prescribed performance backstepping control,’ in Proceedings of 2021 Chinese Intelligent Systems Conference, pp. 680-689, January 2022. doi: 10.1007/978-981-16-6328-4_69. Open DOISearch in Google Scholar

N. Wang, H. K. He, ‘Dynamics-level finite-time fuzzy monocular visual servo of an unmanned surface vehicle,’ IEEE Transactions on Industrial Electronics, vol. 67, no. 11, pp. 9648-9658, November 2020. doi: 10.1109/tie.2019.2952786. Open DOISearch in Google Scholar

Z. Q. Liu, ‘Adaptive Sliding Mode Control for Ship Autopilot with Speed Keeping,’ Polish Maritime Research, vol. 25, no. 4, pp. 21-29, December 2018. doi: 10.2478/pomr-2018-0128. Open DOISearch in Google Scholar

C. H. Cheng, L. Li, Q. Han, et al., ‘Adaptive sliding mode ADRC for attitude tracking with actuator saturation and uncertainties,’ International Journal of Robotics & Automation, vol. 36, no. 5, pp. 337-344, 2021. doi:10.2316/j.2021.206-0560. Open DOISearch in Google Scholar

S. S. Wang, Y. L. Tuo, ‘Robust Trajectory Tracking Control of Underactuated Surface Vehicles with Prescribed Performance,’ Polish Maritime Research, vol. 27, no. 4, pp. 148-156, December 2020. doi: 10.2478/pomr-2020-0075. Open DOISearch in Google Scholar

H. B. Wang, J. Dong, Z. K. Liu, et al., ‘Control algorithm for trajectory tracking of an underactuated USV under multiple constraints,’ Mathematical Problems in Engineering, vol. 1, no. 8, pp. 1-12, May 2022. doi: 10.1155/2022/5274452. Open DOISearch in Google Scholar

L. G. Li, Z. Y. Pei, J. C. Jin, et al., ‘Control of unmanned surface vehicle along the desired trajectory using improved line of sight and estimated sideslip angle,’ Polish Maritime Research, vol. 28, no. 2, pp. 18-26, June 2021. doi: 10.2478/pomr-2021-0017. Open DOISearch in Google Scholar

Z. P. Dong, S. J. Qi, M. Yu, et al., ‘An improved dynamic surface sliding mode method for autonomous cooperative formation control of underactuated USVs with complex marine environment disturbances,’ Polish Maritime Research, vol. 29, no. 3, pp. 47-60, December 2022. doi: 10.2478/pomr-2022-0025. Open DOISearch in Google Scholar

N. K. Gupta, M. K. Kar, A. K. Singh, ‘Design of a 2-DOFPID controller using an improved sine-cosine algorithm for load frequency control of a three-area system with nonlinearities,’ Protection and Control of Modern Power Systems, vol. 7, no. 1, p. 33, September 2022. doi: 10.1186/s41601-022-00255-w. Open DOISearch in Google Scholar

M. M. Ozyetkin, ‘An approximation method and PID controller tuning for systems having integer order and non-integer order delay,’ Alexandria Engineering Journal, vol. 61, no. 12, pp. 11365-11375, December 2022. doi: 10.1016/j.aej.2022.05.015. Open DOISearch in Google Scholar

R. L. Miao, Z. P. Dong, L. Wan, et al., ‘Heading control system design for a micro-USV based on an adaptive expert S-PID algorithm,’ Polish Maritime Research, vol. 25, no. 2, pp. 6-13, June 2018. doi: 10.2478/pomr-2018-0049. Open DOISearch in Google Scholar

C. Ke, H. F. Chen, ‘Cooperative path planning for air-sea heterogeneous unmanned vehicles using search-and-tracking mission,’ Ocean Engineering, vol. 262, p. 112020, October 2022. doi: 10.1016/j.oceaneng.2022.112020. Open DOISearch in Google Scholar

G. Q. Zhang, S. J. Chu, W. D. Zhang, et al., ‘Adaptive neural fault-tolerant control for USV with the output-based triggering approach,’ IEEE Transactions on Vehicular Technology, vol. 71, no. 7, pp. 6948-6957, July 2022. doi: 10.1109/TVT.2022.3167038. Open DOISearch in Google Scholar

A. G. Garcia, H. Castaneda, L. Garrido, ‘USV path-following control based on deep reinforcement learning and adaptive control,’ in Global Oceans 2020, pp. 1-7, August 2020. doi: 10.1109/IEEECONF38699.2020.9389360. Open DOISearch in Google Scholar

H. N. Esfahani, R. Szlapczynski, ‘Model predictive super-twisting sliding mode control for an autonomous surface vehicle,’ Polish Maritime Research, vol. 26, no. 3, pp. 163-171, October 2019. doi: 10.2478/pomr-2019-0057. Open DOISearch in Google Scholar

J. Y. Zhuang, L. Zhang, Z. H. Qin, et al., ‘Motion Control and Collision Avoidance Algorithms for Unmanned Surface Vehicle Swarm in Practical Maritime Environment,’ Polish Maritime Research, vol. 26, no. 1, pp. 163-171, March 2019. doi: 10.2478/pomr-2019-0012. Open DOISearch in Google Scholar

K. S. Kula, ‘Automatic Control of Ship Motion Conducting Search in Open Waters,’ Polish Maritime Research, vol. 27, no. 4, pp. 157-169, December 2020. doi: 10.2478/pomr-2020-0076. Open DOISearch in Google Scholar

Q. Zhang, Z. Y. Ding, M. J. Zhang, ‘Adaptive Self-Regulation PID Control of Course-Keeping for Ships,’ Polish Maritime Research, vol. 27, no. 1, pp. 39-45, March 2020. doi: 10.2478/pomr-2020-0004. Open DOISearch in Google Scholar

S. S. Wang, M. Y. Fu, Y. H. Wang, ‘Robust adaptive steering control for unmanned surface vehicle with unknown control direction and input saturation,’ International Journal of Adaptive Control and Signal Processing, vol. 33, no. 7, pp. 1212-1224, 2023. doi: 10.32604/iasc.2023.027614. Open DOISearch in Google Scholar

L. Liu, Y. S. Fan, ‘Active disturbance rejection course control for USV based on RBF neural network,’ in 2020 39th Chinese Control Conference (CCC), pp. 3344-3351, July 2020. doi: 10.23919/CCC50068.2020.9188760. Open DOISearch in Google Scholar

G. Yi, Z. Liu, J. Q. Zhang, et al., ‘Research on underactuated USV path following algorithm,’ in 2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC), pp. 2141-2145, June 2020. doi: 10.1109/ITNEC48623.2020.9085222. Open DOISearch in Google Scholar

R. Farkh, K. Aljaloud, ‘Vision navigation based PID control for line tracking robot,’ Intelligent Automation & Soft Computing, vol. 35, no. 1, pp. 901-911, 2023. doi: 10.32604/iasc.2023.027614. Open DOISearch in Google Scholar

B. Du, B. Lin, C. M. Zhang, et al., ‘Safe deep reinforcement learning-based adaptive control for USV interception mission,’ Ocean Engineering, vol. 246, p. 110477, February 2022. doi: 10.1016/j.oceaneng.2021.110477. Open DOISearch in Google Scholar

T. Asfihani, D. K. Arif, Subchan, et al., ‘Comparison of LQG and adaptive PID controller for USV heading control,’ Journal of Physics: Conference Series, vol. 1218, p. 012058, May 2019. doi: 10.1088/1742-6596/1218/1/012058. Open DOISearch in Google Scholar

S. T. Wang, X. H. Yin, P. Li, et al., ‘Consensus control of multi-agent systems with deception attacks using event-triggered adaptive cognitive control,’ Communications in Nonlinear Science and Numerical Simulation, vol. 114, p. 106675, November 2022. doi: 10.1016/j.cnsns.2022.106675. Open DOISearch in Google Scholar

Y. J. Zhao, Y. Ma, S. L. Hu, ‘USV formation and path-following control via deep reinforcement learning with random braking,’ IEEE Transactions on Neural Networks and Learning Systems, vol. 32, no. 12, pp. 5468-5478, April 2021. doi: 10.1109/TNNLS.2021.3068762. Open DOISearch in Google Scholar

S. Xie, X. M. Chu, C. G. Liu, ‘Parameter identification of ship motion model based on multi-innovation methods,’ Journal of Marine Science and Technology, vol. 25, pp. 162-184, March 2022. doi: 10.1007/s00773-019-00639-y. Open DOISearch in Google Scholar

Y. T. Gui, D. Q. Li, R. Y. Fang, ‘A fast adaptive algorithm for training deep neural networks,’ Applied Intelligence, vol. 53, no. 12, pp. 1-10, June 2022. doi: 10.1007/s10489-022-03629-7. Open DOISearch in Google Scholar

Y. H. Kang, Y. Kuang, J. Cheng, et al., ‘Robust leaderless time-varying formation control for unmanned aerial vehicle swarm system with Lipschitz nonlinear dynamics and directed switching topologies,’ Chinese Journal of Aeronautics, vol. 35, no. 1, pp. 124-136, July 2021. doi: 10.1016/j.cja.2021.05.017. Open DOISearch in Google Scholar

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