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
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