• DocumentCode
    3656668
  • Title

    Simulation of stochastic adaptive algorithms for embedded devices of railway safety systems

  • Author

    Anatoly Levchenkov;Mikhail Gorobetz

  • Author_Institution
    Institute of Industrial Electronics and Electrical Engineering, Riga Technical University, Riga, Latvia
  • fYear
    2015
  • fDate
    5/1/2015 12:00:00 AM
  • Firstpage
    421
  • Lastpage
    426
  • Abstract
    The simulation approach for assessment of adaptive algorithms based on stochastic search is described in this paper. In this research, the adaptive algorithms are used for railway safety system to improve existing braking by automatic smooth and precise braking of a train, avoiding passing the restrictive signal and prevent crashes. Simulation results are grouped for different types of trains to test the ability and efficiency of adaptive algorithms to find the solution in a wide range of conditions and situations.
  • Keywords
    "Force","Adaptation models","Simulation","Mathematical model","Rail transportation","Railway safety"
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering, Energy and Electrical Drives (POWERENG), 2015 IEEE 5th International Conference on
  • Print_ISBN
    978-1-4673-7203-9
  • Electronic_ISBN
    2155-5532
  • Type

    conf

  • DOI
    10.1109/PowerEng.2015.7266354
  • Filename
    7266354