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Journal of Applied Mathematics
Volume 2014, Article ID 520627, 8 pages
Research Article

Weighted Multimodel Predictive Function Control for Automatic Train Operation System

1Key Laboratory of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao 066004, China
2State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China
3School of Engineering Science, Simon Fraser University, 250-13450, 102 Avenue, Surrey, BC, Canada V3T 0A3
4College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, China

Received 23 September 2013; Accepted 28 November 2013; Published 3 February 2014

Academic Editor: M. Montaz Ali

Copyright © 2014 Shuhuan Wen 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 [2 citations]

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

  • Shuhuan Wen, Jingwei Yang, Ahmad B. Rad, and Pengcheng Hao, “Multi-model direct generalised predictive control for automatic train operation system,” Iet Intelligent Transport Systems, vol. 9, no. 1, pp. 86–94, 2015. View at Publisher · View at Google Scholar
  • Shijin Ren, Gaofeng Wang, Xinyu Li, Guiyun Xu, and Maoyun Yang, “Nonlinear predictive control of WNN using optimal experimental design and laplacian regularization,” Shuju Caiji Yu Chuli/Journal of Data Acquisition and Processing, vol. 31, no. 5, pp. 927–940, 2016. View at Publisher · View at Google Scholar