Bingbing Qiu, Guofeng Wang, Yunsheng Fan, Dongdong Mu, Xiaojie Sun


  1. [1] M. Caccia, M. Bibuli and R. Bono and G. Bruzzone. Basic navigation, guidance and controlof an Unmanned Surface Vehicle.Autonomous Robots, 25(4), 2008, 349-365.
  2. [2] A. Witkowska, M. Tomera and R. Mierzchalski. A Backstepping Approach to Ship CourseControl. International Journal of Applied Mathematics & Computer Science, 17(1), 2007,73-85.
  3. [3] J. Du, A. Abraham, S. Yu and J. Zhao. Adaptive dynamic surface control with Nussbaumgain for course-keeping of ships. Engineering Applications of Artificial Intelligence, 27(1)2014, 236-240.
  4. [4] G. Xia and T. Luan. Study of Ship Heading Control using RBF Neural Network. InternationalJournal of Control & Automation, 2015, 8.
  5. [5] D. Mu, G. Wang, Y. Fan and Y. Zhao. Model Identification and Course Controller Designfor Unmanned Surface Vehicle. International Journal of Control & Automation, 10(9), 2017,87-98.
  6. [6] D. Mu, G.Wang, Y. Fan and Y. Zhao. Study on course keeping of POD propulsion unmannedsurface vessel. Journal of Harbin Engineering University, 39(2), 2018, 274-281.
  7. [7] D. W. Qian, J. Q. Yi, X. J. Liu, G. T. Yang and M. X. Wang. Robust Control by Sliding Modefor a Class of Uncertain Underactuated Systems with Saturation. Control and IntelligentSystems, 38(2), 2010, 87-94.
  8. [8] F. Yu. Adaptive Fuzzy Design of Ship’s Autopilot with Input Saturation. International Conferenceon Information Technology and Applications,2013, 312-317.
  9. [9] D. Mu, G. Wang, Y. Fan and Y. Zhao. Design of robust adaptive course controller for unmannedsurface vehicle with input saturation. International Journal of Innovative Computing,Information and Control, 13(5), 2017, 1751-1758.
  10. [10] J. Zhu, B. Banker and C. Hall, X-33 ascent flight control design by trajectory linearization -A singular perturbation approach, Proceedings of the AIAA Guidance, Navigation, & ControlConference,2006.
  11. [11] B. Zhu and W. Huo, Adaptive Trajectory Linearization Control for a model-scaled helicopterwith uncertain inertial parameters, Control Conference. IEEE, 2012, 4389-4395.
  12. [12] T. M. Adami and J. J. Zhu, 6DOF flight control of fixed-wing aircraft by Trajectory Linearization,American Control Conference. IEEE, 2011, 1610-1617.
  13. [13] Y. Liu and J. J.Zhu, Regular Perturbation Analysis for Trajectory Linearization Control, Proceedingsof the American Control Conference, 2007, 3053-3058.
  14. [14] Y. Liu, R. Huang and J. Zhu, Adaptive Neural Network Control Based on Trajectory LinearizationControl, Proceedings of the World Congress on Intelligent Control & Automation,vol.1, 2006, 417-421.
  15. [15] X. L. Shao and H. L. Wang, Back-stepping robust trajectory linearization control for hypersonicreentry vehicle via novel tracking differentiator, Journal of the Franklin Institute,253(9), 2016, 1957-1984.
  16. [16] X. L. Shao and H. L.Wang, Trajectory Linearization Control Based Output Tracking Methodfor Nonlinear Uncertain System Using Linear Extended State Observer, Asian Journal ofControl, 18(1), 2016, 316-327.
  17. [17] A. Boulkroune, M. Tadjine, M. M’Saad and M. Farzam. Adaptive Fuzzy Observer for UncertainNonlinear Systems. Control and Intelligent Systems, 39(3), 2014, 145-150.
  18. [18] M. Cui, H. Liu and W. Liu. Extended state observer-based adaptive control for a class ofnonlinear system with uncertainties. Control and Intelligent Systems, 45(3), 2017, 132-141.
  19. [19] C. Liu, T. Li and N. Chen. Adaptive fuzzy control design of ship’s autopilot with rudderdynamics. Icic Express Letters, 5(3), 2011, 767-773.
  20. [20] X. L. Shao and H. L.Wang. Trajectory Linearization Control Based Output Tracking Methodfor Nonlinear Uncertain System Using Linear Extended State Observer. Asian Journal ofControl, 18(1), 2016, 316-327.
  21. [21] J. J. Zhu, PD-spectral theory for multivariable linear time-varying systems, IEEE Conferenceon Decision & Control, vol.4, 1997, 3908-3913.

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