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Mathematical Problems in Engineering
Volume 2013, Article ID 713560, 7 pages
http://dx.doi.org/10.1155/2013/713560
Research Article

Nonlinear Robust Observer-Based Fault Detection for Networked Suspension Control System of Maglev Train

College of Mechatronics Engineering and Automation, National University of Defense Technology, Changsha 410073, China

Received 11 January 2013; Revised 22 April 2013; Accepted 26 April 2013

Academic Editor: Engang Tian

Copyright © 2013 Yun Li 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 [5 citations]

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

  • Lianchun Wang, Peichang Yu, Jinhui Li, Danfeng Zhou, and Jie Li, “Suspension system status detection of maglev train based on machine learning using levitation sensors,” 2017 29th Chinese Control And Decision Conference (CCDC), pp. 7579–7584, . View at Publisher · View at Google Scholar
  • Zhigang Liu, Zhiqiang Long, and Xiaolong Li, “Maglev train overview,” Springer Tracts in Mechanical Engineering, vol. 2, pp. 1–28, 2015. View at Publisher · View at Google Scholar
  • Zhigang Liu, Zhiqiang Long, and Xiaolong Li, “Technology development and application research of maglev control,” Springer Tracts in Mechanical Engineering, vol. 2, pp. 29–39, 2015. View at Publisher · View at Google Scholar
  • Hehong Zhang, Yunde Xie, and Zhiqiang Long, “Fault Detection Based on Tracking Differentiator Applied on the Suspension System of Maglev Train,” Mathematical Problems in Engineering, vol. 2015, pp. 1–9, 2015. View at Publisher · View at Google Scholar
  • Jian Li, Xinxin Guo, and Bo Li, “Robust Fault Diagnosis and Adaptive Parameter Identification for Single Phase Transformerless Inverters,” Mathematical Problems in Engineering, vol. 2018, pp. 1–11, 2018. View at Publisher · View at Google Scholar