周旭东, 李连诗, 王先进, 傅作宝. 自适应神经元网络板形板厚综合控制[J]. 工程科学学报, 1994, 16(4): 340-345. DOI: 10.13374/j.issn1001-053x.1994.04.008
引用本文: 周旭东, 李连诗, 王先进, 傅作宝. 自适应神经元网络板形板厚综合控制[J]. 工程科学学报, 1994, 16(4): 340-345. DOI: 10.13374/j.issn1001-053x.1994.04.008
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Zhou Xudong, Li Lianshi, Wang Xianjin, Fu Zuobao. Adaptive Neural Networks for AFC/AGC Complex Control[J]. Chinese Journal of Engineering, 1994, 16(4): 340-345. DOI: 10.13374/j.issn1001-053x.1994.04.008
Citation: Zhou Xudong, Li Lianshi, Wang Xianjin, Fu Zuobao. Adaptive Neural Networks for AFC/AGC Complex Control[J]. Chinese Journal of Engineering, 1994, 16(4): 340-345. DOI: 10.13374/j.issn1001-053x.1994.04.008
shu

自适应神经元网络板形板厚综合控制

Adaptive Neural Networks for AFC/AGC Complex Control

    摘要
  • 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.

     

    Abstract: 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.

     

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