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
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
Journal title :
Journal of Iron and Steel Research