摘要
提出一种自适应神经元网络的方法，对板形板厚综合系统进行了仿真研究，该控制方法，适合处理多输入输出问题，并具有自组织、自适应和自学习能力，仿真结果表明，该方法的效果比采用传统的ＰＩＤ控制优越，可应用于实际控制。
A kind of adaptive neural networks control method, which is suit to deal with MIMO, has been advanced to control AFC/AGC complex system. Neual networks have adaptive and learning ability. Stimulation results show that the adaptive neural networks control have an advantage over the PID control.
出处
《北京科技大学学报》
EI
CAS
CSCD
北大核心
1994年第4期340-345,共6页
Journal of University of Science and Technology Beijing
关键词
板材轧制
神经网络
板形
板厚控制
plate rolling
neural networks
self-organizing systems
automatic flatness control(AFC)
automatic gauge control(AGC)
