• Title of article

    Fuzzy Shape Control Based on Elman Dynamic Recursion Network Prediction Model Original Research Article

  • Author/Authors

    Chun-yu JIA، نويسنده , , Hongmin Liu، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2006
  • Pages
    5
  • From page
    31
  • To page
    35
  • Abstract
    In the strip rolling process, shape control system possesses the characteristics of nonlinearity, strong coupling, time delay and time variation. Based on self-adapting Elman dynamic recursion network prediction model, the fuzzy control method was used to control the shape on four-high cold mill. The simulation results showed that the system can be applied to real time on line control of the shape.
  • Keywords
    shape prediction , shape control , Elman dynamic recursion network , parameter self-adjusting , Fuzzy control
  • Journal title
    Journal of Iron and Steel Research
  • Serial Year
    2006
  • Journal title
    Journal of Iron and Steel Research
  • Record number

    1234696