Bingbing Qiu, Guofeng Wang, Yunsheng Fan, Dongdong Mu, and Xiaojie Sun
[1] M. Caccia, M. Bibuli, R. Bono, and G. Bruzzone, Basicnavigation, guidance and control of an unmanned surfacevehicle, Autonomous Robots, 25(4), 2008, 349–365. [2] A. Witkowska, M. Tomera, and R. Mierzchalski, A backstep-ping approach to ship course control, International Journal ofApplied Mathematics & Computer Science, 17(1), 2007, 73–85. [3] J. Du, A. Abraham, S. Yu, and J. Zhao, Adaptive dynamicsurface control with Nussbaum gain for course-keeping of ships,Engineering Applications of Artificial Intelligence, 27(1) 2014,236–240. [4] G. Xia and T. Luan, Study of ship heading control usingRBF neural network, International Journal of Control &Automation, 2015, 8(10), 227–236. [5] D. Mu, G. Wang, Y. Fan, and Y. Zhao, Model identificationand course controller design for unmanned surface vehicle,International Journal of Control & Automation, 10(9), 2017,87–98. [6] D. Mu, G. Wang, Y. Fan, and Y. Zhao, Study on coursekeeping of POD propulsion unmanned surface vessel, Journalof Harbin Engineering University, 39(2), 2018, 274–281. [7] D.W. Qian, J.Q. Yi, X.J. Liu, G.T. Yang, and M.X. Wang,Robust control by sliding mode for a class of uncertain underactuated systems with saturation, Control and IntelligentSystems, 38(2), 2010, 87–94. [8] F. Yu, Adaptive fuzzy design of ship’s autopilot with inputsaturation, Int. Conf. on Information Technology and Appli-cations, Chengdu, China, 2013, 312–317. [9] D. Mu, G. Wang, Y. Fan, and Y. Zhao, Design of robust adaptive course controller for unmanned surface vehicle with inputsaturation, International Journal of Innovative Computing,Information and Control, 13(5), 2017, 1751–1758. [10] J. Zhu, B. Banker, and C. Hall, X-33 ascent flight controldesign by trajectory linearization–A singular perturbation approach, Proc. of the AIAA Guidance, Navigation, & ControlConference, Denver, Colorado, 2000, AIAA-2000-4159. [11] B. Zhu and W. Huo, Adaptive trajectory linearization control for a model-scaled helicopter with uncertain inertialparameters, IEEE Control Conference, Hefei, China, 2012,4389–4395. [12] T.M. Adami and J.J. Zhu, 6DOF flight control of fixed-wingaircraft by trajectory linearization, IEEE American ControlConference, San Francisco, 2011, 1610–1617. [13] Y. Liu and J.J. Zhu, Regular perturbation analysis for trajectory linearization control, Proc. of the American ControlConference, New York, 2007, 3053–3058. [14] Y. Liu, R. Huang, and J. Zhu, Adaptive neural network controlbased on trajectory linearization control, Proc. of the WorldCongress on Intelligent Control & Automation, Dalian, China,1, 2006, 417–421. [15] X.L. Shao and H.L. Wang, Back-stepping robust trajectorylinearization control for hypersonic reentry vehicle via noveltracking differentiator, Journal of the Franklin Institute, 253(9),2016, 1957–1984. [16] X.L. Shao and H.L. Wang, Trajectory linearization controlbased output tracking method for nonlinear uncertain systemusing linear extended state observer, Asian Journal of Control,18(1), 2016, 316–327. [17] A. Boulkroune, M. Tadjine, M. M’Saad, and M. Farzam, Adaptive fuzzy observer for uncertain nonlinear systems, Controland Intelligent Systems, 39(3), 2014, 145–150. [18] M. Cui, H. Liu, and W. Liu, Extended state observer-basedadaptive control for a class of nonlinear system with uncertain-ties, Control and Intelligent Systems, 45(3), 2017, 132–141. [19] C. Liu, T. Li, and N. Chen, Adaptive fuzzy control design ofship’s autopilot with rudder dynamics, ICIC Express Letters,5(3), 2011, 767–773. [20] X.L. Shao and H.L. Wang, Trajectory linearization controlbased output tracking method for nonlinear uncertain systemusing linear extended state observer, Asian Journal of Control,18(1), 2016, 316–327. [21] J.J. Zhu, PD-spectral theory for multivariable linear time-varying systems, IEEE Conf. on Decision & Control, SanDiego, 4, 1997, 3908–3913.
Important Links:
Go Back
