Open Access
Volume 39, Number 1, February 2021
Page(s) 216 - 223
Published online 09 April 2021
  1. Wang J Q, Zou Z J, Wang T. High-gain extended state observer based adaptive sliding mode path following control for an underactuated vessel sailing in restricted waters[J]. Applied Sciences, 2019, 9(1102):1–21 [Article] [Google Scholar]
  2. Lekkas A M, Fossen T I. Integral LOS path following for curved paths based on a monotone cubic hermite spline parametrization[J]. IEEE Trans on Control Systems Technology, 2014, 22(6):2287–2301 [Article] [Google Scholar]
  3. Padideh R, Khoshnam S, Abbas C. Output feedback look-ahead position control of electrically driven fast surface vessels[J]. Automatika, 2016, 57(4):968–981 [Article] [Google Scholar]
  4. Shen Zhipeng, Bi Yannan, Guo Tantan, et al. Adaptive dynamic surface output feedback trajectory tracking control for underactuated ships with nonlinear observer[J]. Systems Engineering and Electronics, 2019, 41(2):409–416 [Article] (in Chinese) [Google Scholar]
  5. Ding Fuguang, Ma Yanqin, Wang Yuanhui, et al. Robust synchronization control of multiple vessels with state observer[J]. Journal of Harbin Engineering University, 2015, 36(6):789–794 [Article] (in Chinese) [Google Scholar]
  6. Shen Zhipeng, Zhang Xiaoling, Zhang Ning, et al. Recursive sliding mode dynamic surface output feedback control for ship trajectory tracking based on neural network observer[J]. Control Theory & Applications, 2018, 35(8):1092–1100 [Article] (in Chinese) [Google Scholar]
  7. Wang Y H, Tong H Y, Wang C L. High-gain observer-based line-of-sight guidance for adaptive neural path following control of underactuated marine surface vessels[J]. IEEE Access, 2019, 7: 19258–19265 [Article] [Google Scholar]
  8. Fan Y S, Huang H Y, Tan Y Y. Robust adaptive path following control of an unmanned surface vessel subject to input saturation and uncertainties[J]. Applied Sciences, 2019, 9(1815):1–18 [Article] [Google Scholar]
  9. Liu Z Q. Pre-filtered backstepping control for underactuated ship path following[J]. Polish Maritime Research, 2019, 26(2):68–75 [Article] [Google Scholar]
  10. Vo D D, Pham V A, Nguyen D A. Design an adaptive autopilot for an unmanned surface vessel[C]//Proceeding of the 4th International Conference on Green Technology and Sustainable Development, Ho Chi Minh City, Vietnam, 2018: 323–328 [Google Scholar]
  11. Herman P, Adamski W. Non-adaptive velocity tracking controller for a class of vehicles[J]. Bulletin of the Polish Academy of Sciences Technical Sciences, 2017, 65(4):459–468 [Article] [Google Scholar]
  12. Chen X, Liu Z, Zhang J Q, et al. Adaptive sliding-mode path following control system of the underactuated USV under the influence of ocean currents[J]. Journal of Systems Engineering and Electronics, 2018, 29(6):1271–1283 [Article] [Google Scholar]
  13. Liu Y, Bu R X, Gao X R. Ship trajectory tracking control system design based on sliding model control algorithm[J]. Polish Maritime Research, 2018, 25(3):26–34 [Article] [Google Scholar]
  14. Shen Zhipeng, Dai Changsheng, Zhang Ning. Trajectory tracking control of underactuated ship based on adaptive iterative sliding mode[J]. Journal of Traffic and Transportation Engineering, 2017, 17(6):125–134 [Article] (in Chinese) [Google Scholar]
  15. Shen Zhipeng, Wang Ru. Adaptive sliding mode trajectory tracking control of underactuated ship based on DSC-MLP[J]. Systems Engineering and Electronics, 2018, 40(3):643–651 [Article] (in Chinese) [Google Scholar]
  16. Zhang He, Yao Jie, Sui Jianghua, et al. Neural sliding mode path following control for underctuated ship based on DSC[J]. Ship Engineering, 2019, 41(10):85–91 [Article] (in Chinese) [Google Scholar]
  17. Mu D D, Wang G F, Fan Y S, et al. Adaptive trajectory tracking control for underactuated unmanned surface vehicle subject to unknown dynamics and time-varing disturbances[J]. Applied Sciences, 2018, 8(547):1–16 [Article] [Google Scholar]
  18. Yu Y L, Guo C, Yu H M. Finite-time predictor line-of-sight-based adaptive neural network path following for unmanned surface vessels with unknown dynamics and input saturation[J]. International Journal of Advanced Robotic System, 2018, 15(6):1–14 [Article] [Google Scholar]
  19. Qiu B B, Wang G F, Fan Y S, et al. Adaptive sliding mode trajectory tracking control for unmanned surface vehicle with modeling uncertainties and input saturation[J]. Applied Sciences, 2019, 9(1240):1–18 [Article] [Google Scholar]
  20. Li Ronghui, Cao Junhai, Li Tieshan. Active disturbance rejection control design and parameters configuration for ship steering with wave disturbance[J]. Control Theory & Applications, 2018, 35(11):1601–1609 [Article] (in Chinese) [Google Scholar]
  21. Liu L, Wang D, Peng Z H, et al. Cooperative path following ring-networked under-actuated autonomous surface vehicles: algorithms and experimental results[J]. IEEE Trans on Cybernetics, 2020, 50(4):1519–1529 [Article] [Google Scholar]
  22. Liu C G, Zheng H R, Negenborn R, et al. Adaptive predictive path following control based on least squares support vector machines for underactuated autonomous vessels[J]. Asian Journal of Control, 2019, 2208: 1–17 [Article] [Google Scholar]
  23. Nagai T, Watanabe R. Applying position prediction model for path following of ship on curved path[C]//Proceeding of the IEEE Region 10 Conference, Singapore, 2016: 22–25 [Google Scholar]
  24. Wang S S, Wang L J, Qiao Z X. Optimal Robust control of path following and rudder roll reduction for a container ship in heavy waves[J]. Applied Sciences, 2018, 8(1631):1–19 [Article] [Google Scholar]
  25. Li Z X, Li R H, Bu R X. Path following of under-actuated ships based on model predictive control with state observer[J]. Journal of Marine Science and Technology, 2020, (4):1–11 [Article] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.