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Mathematical Problems in Engineering
Volume 2013 (2013), Article ID 530162, 9 pages
http://dx.doi.org/10.1155/2013/530162
Research Article

Adaptive Neural Network Control with Backstepping for Surface Ships with Input Dead-Zone

College of Automation, Harbin Engineering University, 150001 Harbin, China

Received 17 June 2013; Revised 27 August 2013; Accepted 28 August 2013

Academic Editor: Jyh-Horng Chou

Copyright © 2013 Guoqing Xia et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [10 citations]

The following is the list of published articles that have cited the current article.

  • Guoqing Xia, Huiyong Wu, and Xingchao Shao, “Adaptive Filtering Backstepping for Ships Steering Control without Velocity Measurements and with Input Constraints,” Mathematical Problems in Engineering, vol. 2014, pp. 1–9, 2014. View at Publisher · View at Google Scholar
  • Pak Kin Wong, Chi Man Vong, Xiang Hui Gao, and Ka In Wong, “Adaptive Control Using Fully Online Sequential-Extreme Learning Machine and a Case Study on Engine Air-Fuel Ratio Regulation,” Mathematical Problems in Engineering, vol. 2014, pp. 1–11, 2014. View at Publisher · View at Google Scholar
  • J. Humberto Pérez-Cruz, José de Jesús Rubio, Rodrigo Encinas, and Ricardo Balcazar, “Singularity-Free Neural Control for the Exponential Trajectory Tracking in Multiple-Input Uncertain Systems with Unknown Deadzone Nonlinearities,” The Scientific World Journal, vol. 2014, pp. 1–10, 2014. View at Publisher · View at Google Scholar
  • Ming-Mao Hsu, Seng-Chi Chen, Van-Sum Nguyen, and Ta-Hsiang Hu, “Fuzzy and online trained adaptive neural network controller for an AMB system,” Journal of Applied Science and Engineering, vol. 18, no. 1, pp. 47–58, 2015. View at Publisher · View at Google Scholar
  • Panfeng Huang, Zhongjie Meng, Bingheng Wang, and Zhengxiong Liu, “In-plane adaptive retrieval control for a noncooperative target by tethered space robots,” International Journal of Advanced Robotic Systems, vol. 13, no. 5, pp. 1–12, 2016. View at Publisher · View at Google Scholar
  • Guoyuan Li, Wei Li, Hans Petter Hildre, and Houxiang Zhang, “Online learning control of surface vessels for fine trajectory tracking,” Journal Of Marine Science And Technology, vol. 21, no. 2, pp. 251–260, 2016. View at Publisher · View at Google Scholar
  • Zao-Peng Dong, Lei Wan, Tao Liu, Guo-Cheng Zhang, Yu-Shan Sun, and Yue-Ming Li, “Trajectory tracking control of an underactuated unmanned marine vehicle based on asymmetric model,” Binggong Xuebao/Acta Armamentarii, vol. 37, no. 3, pp. 471–481, 2016. View at Publisher · View at Google Scholar
  • Guoqing Xia, Ang Zhao, Huiyong Wu, and Ju Liu, “Adaptive robust output feedback trajectory tracking control for ships with input nonlinearities,” International Journal of Robotics and Automation, vol. 31, no. 4, pp. 341–353, 2016. View at Publisher · View at Google Scholar
  • Panfeng Huang, Dongke Wang, Zhongjie Meng, Fan Zhang, and Jian Guo, “Adaptive postcapture backstepping control for tumbling tethered space robot-target combination,” Journal of Guidance, Control, and Dynamics, vol. 39, no. 1, pp. 150–156, 2016. View at Publisher · View at Google Scholar
  • Xiaodong Lu, Bin Zhao, Jun Zhou, and Hui Zhao, “Novel backstepping attitude control method for interception missile based on disturbance compensation,” Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, vol. 39, no. 5, pp. 1100–1106, 2017. View at Publisher · View at Google Scholar