引用本文:柴天佑 , 寇新民 , 罗公亮.动态过程辨识的一种BP鲁棒算法[J].控制理论与应用,1998,15(6):929~932.[点击复制]
KOU Xinmin , LUO Gongliang,CHAI Tianyou.A Robust Back Propagation Algorithm for Identificationof Dynamical Systems[J].Control Theory and Technology,1998,15(6):929~932.[点击复制]
动态过程辨识的一种BP鲁棒算法
A Robust Back Propagation Algorithm for Identificationof Dynamical Systems
摘要点击 748  全文点击 379  投稿时间:1996-08-27  修订日期:1997-09-29
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DOI编号  
  1998,15(6):929-932
中文关键词  鲁棒算法  BP网  强干扰  系统辨识
英文关键词  robust algorithm,BP network  gross errors,identification systems
基金项目  
作者单位
柴天佑 , 寇新民 , 罗公亮 冶金部自动化研究院工程中心 
中文摘要
      针对BP算法在进行系统辨识时存在着速度慢、非平滑内插、受噪声影响很大、逼近精度不高,特别是对强干扰不具有鲁棒性等问题,提出一种BP网络的鲁棒算法,该算法直接利用样本点对样本点的分布特征进行估计,并采用带有损失因子的与误差分布有关的二次型能量函数,并用于动态系统辨识. 仿真结果表明了算法不仅对白噪声具有鲁棒性,而且对强干扰也具有鲁棒性.
英文摘要
      A robust back propagation algorithm is proposed,which is aimed at solving problems that BP algorithm has some confronted when applied to the dynamic identification,such as slow convergence,non-smoothing interpolation,noise sensitivity and poor accuracy of identification,especially lack of robustness for strong interference. The algorithm uses samples directly to estimate distribution characteristics of sample points in which a quadratic energy function with lose factors relevant to error of distributions is used. The al-gorithm can be used in identification of dynamical systems,the simulation results showed the robustness for white noise as well as for gross errors.