• DocumentCode
    159028
  • Title

    High-speed maglev parallel control and management system-overview and framework

  • Author

    Weilong Gai ; Dewang Chen ; Jiateng Yin ; Long Chen

  • Author_Institution
    State Key Lab. of Rail, Beijing Jiaotong Univ., Beijing, China
  • fYear
    2014
  • fDate
    9-10 Oct. 2014
  • Firstpage
    24
  • Lastpage
    28
  • Abstract
    Firstly, this paper puts forward the framework of high-speed maglev parallel control and management system, then builds a high-speed maglev artificial system model on the basic of multi-agent which is consistent with actual high-speed maglev system. Secondly, we do computing experiments and summarize the law of the system on the basic of high-speed maglev artificial system. Lastly, we can achieve parallel controlling and managing actual high-speed maglev system through the parallel interaction between artificial and actual high-speed maglev system. Ensuring the safety and reliability of the high-speed maglev system, we evaluate the high-speed maglev system from overall, management and implementation, then provide solutions and recommendations for the safety control and effective management of the high-speed maglev system.
  • Keywords
    control engineering computing; magnetic levitation; magnetic variables control; multi-agent systems; parallel processing; high-speed maglev artificial system model; high-speed maglev parallel control and management system; high-speed maglev system reliability; multiagent system; parallel controlling; parallel interaction; safety control; Computational modeling; Control systems; Educational institutions; Object oriented modeling; Optimization; Safety; Transportation; ACP; Artificial high-speed maglev system; High-speed maglev system; Parallel control; Parallel management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Informative and Cybernetics for Computational Social Systems (ICCSS), 2014 International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4799-4753-9
  • Type

    conf

  • DOI
    10.1109/ICCSS.2014.6961810
  • Filename
    6961810