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Fuzzy Shape Control Based on El man Dynamic Recursion Network Prediction Model 被引量:2
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作者 jia chun-yu liu hong-min 《Journal of Iron and Steel Research International》 SCIE EI CAS CSCD 2006年第1期31-35,共5页
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... 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. 展开更多
关键词 shape prediction shape control Elman dynamic recursion network parameter self-adjusting fuzzy control
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