文章摘要
崔洪宇,赵德有.一种新的灰神经网络及其在海洋平台振动控制中应用[J].,2010,(5):692-698
一种新的灰神经网络及其在海洋平台振动控制中应用
A new grey neural network and its application to vibration control of offshore platform
  
DOI:10.7511/dllgxb201005013
中文关键词: 灰局势决策  效果测度  神经网络  自适应逆控制  海洋平台
英文关键词: grey situation decision  effect measure  neural network  adaptive inverse control  offshore platform
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作者单位
崔洪宇,赵德有  
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中文摘要:
      针对灰色理论预测精度比较低和神经网络结构很难确定等问题,首次提出一种基于新的效果测度的灰局势决策理论,并据其构造神经网络的拓扑结构,确定神经网络的各层神经元个数及神经元的输入输出运算.将灰神经网络作为自适应预测逆控制器用于导管架式海洋平台的振动主动控制中,数值仿真结果表明,构造的灰神经网络泛化能力强,提出的控制方法可有效地控制导管架式海洋平台顶部在随机外荷载作用下产生的位移响应.
英文摘要:
      To deal with the difficulties in confirming the structure of neuron model and low forecast accuracy of grey theory, the grey situation decision theory based on new effect measure is proposed for the first time, and it is adopted to construct the structure topology of neural networks and determine the number of neurons in various layers and input-output computation of neurons. Then the grey neural network is taken as adaptive predictive inverse controller, which is implemented to the active control of jacket offshore platform. The simulation results show that the obtained grey neural network has strong robustness, and thus can be used to effectively control the displacement response on the top of jacket offshore platform under the random loads.
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