多采样率系统的辨识问题综述
A survey on identification of multirate sampled systems
摘要点击 4083  全文点击 1511  投稿时间:2007-06-26  修订日期:2008-01-22
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DOI编号  10.7641/j.issn.1000-8152.2009.1.011
  2009,26(1):62-68
中文关键词  多采样率系统  建模  辨识  非均匀采样
英文关键词  multirate sampled systems  modeling  identification  non-uniform sampling
基金项目  
学科分类代码  
作者单位E-mail
倪博溢 清华大学 自动化系, 北京 100084 nby00@mails.tsinghua.edu.cn 
萧德云 清华大学 自动化系, 北京 100084 xiaody@tsinghua.edu.cn 
中文摘要
      在多率采样系统中, 采样间隔不均匀. 本文综述了文献中有关多率采样系统的数学模型, 如线性周期时变模型、频域模型和连续状态空间模型等. 同时对相应的辨识方法, 如提升、频域方法、子空间辨识方法等, 也进行了全面的综述. 对多率采样系统辨识中存在的一些问题, 包括辨识模型的选择、一致性问题、带约束条件的辨识方法和辨识收敛性等, 也作了深入的讨论.
英文摘要
      In multirate sampled systems, sampling periods are not uniform. This article briefly reviews the existing mathematical models of multirate sampled systems including the linear periodic time-varying model, the frequency domain model, and the continuous time state space model. The corresponding identification methods, such as lifting method, frequency domain method and subspace method, are also discussed. Model selection, consistency, constrained identification, convergence and other problems in the identification of multirate sampled system are deeply discussed.