引用本文:孔金生,万百五.一种多输入单输出Hammerstein系统的集成辨识方法[J].控制理论与应用,2005,22(4):517~519.[点击复制]
KONG Jin-sheng, WAN Bai-wu.Integrated identification method for multi-input/single-output Hammerstein system[J].Control Theory & Applications,2005,22(4):517~519.[点击复制]
一种多输入单输出Hammerstein系统的集成辨识方法
Integrated identification method for multi-input/single-output Hammerstein system
摘要点击 2491  全文点击 2277  投稿时间：2004-04-22  修订日期：2004-10-22
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DOI编号  10.7641/j.issn.1000-8152.2005.4.001
  2005,22(4):517-519
中文关键词  多输入单输出Hammerstein系统  集成辨识  一致性估计
英文关键词  multi-input/single-output Hammerstein system  integrated identification  consistent estimation
基金项目  
作者单位
孔金生,万百五 郑州大学电气工程学院,河南郑州450002
西安交通大学系统工程研究所,陕西西安710049 
中文摘要
      针对多输入单输出(MISO)Hammerstein系统提出了一种稳态与动态辨识相结合的集成辨识方法.该方法利用稳态信息获取稳态模型的强一致性估计,并通过稳态模型以神经网络获得其非线性逼近函数,再利用动态信息辨识获取多输入单输出(MISO)Hammerstein系统的线性子系统未知参数的一致性估计.仿真结果表明了该方法的有效性和实用性.
英文摘要
      An integrated identification method combining steady-state and dynamic identification is introduced for the multi-input/single-output(MISO) Hammerstein system.The strong consistent estimates of steady-state model are obtained by using steady-state data.The neural network can be used to approach nonlinearity function by using steady-state model.The consistent estimation of the linear unknown parameter of the the multi-input-single-output(MISO) Hammerstein system are obtained.The efficiency and applicability of this estimation technique is demonstrated by simulation results.