• DocumentCode
    2954437
  • Title

    Designing Automatic Train Regulation for MRT system by adaptive critic method

  • Author

    Sheu, Jih-Wen ; Lin, Wei-Song

  • Author_Institution
    Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei
  • fYear
    2008
  • fDate
    1-8 June 2008
  • Firstpage
    406
  • Lastpage
    412
  • Abstract
    Because of the disturbance of operation environment in mass rapid transit (MRT) system, the robustness against disturbance and the schedule punctuality under control constraint are important issues to be considered in designing Automatic Train Regulation (ATR) for MRT system. In this paper, the study on suitable traffic model for designing ATR system and ATR design based on adaptive critic design (ACD) of approximated dynamic programming, specifically on dual heuristic programming (DHP) are presented. Moreover, the method to deal with control constraint and applying gain scheduling to deal with the time variant environment of MRT system are addressed as well. For comparison, simulations with real operation environment data are done for ATRs designed by both adaptive critic method and LQ optimization method.
  • Keywords
    dynamic programming; heuristic programming; railways; MRT system; adaptive critic method; approximated dynamic programming; automatic train regulation; control constraint; dual heuristic programming; gain scheduling; mass rapid transit; Adaptive systems; Automatic control; Communication system control; Communication system traffic control; Control systems; Dynamic programming; Standardization; Stochastic systems; Traffic control; Transportation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1098-7576
  • Print_ISBN
    978-1-4244-1820-6
  • Electronic_ISBN
    1098-7576
  • Type

    conf

  • DOI
    10.1109/IJCNN.2008.4633824
  • Filename
    4633824