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控制系统的一种直接盲辨识方法 被引量:5

Direct blind identification for control system
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摘要 提出一种在时域中直接盲辨识系统传递函数的方法。首先利用过采样方法,将SISO系统转换为具有相同零极点的SIMO系统进行处理;然后通过对新的SIMO模型先估计分子参数、后估计分母参数的方法,即可获得原SISO模型的参数估计。该方法也可用于辨识非最小相位系统。 A direct blind identification method for transfer function model in time domain is presented. By sampling the output signal in a multirate, a SISO system is transformed into a SIMO system which has common poles. The parameter estimate of the original SISO model is obtained by first estimating the numerator of the new SIMO model transfer function and then the common denominator. The method can be used to identify a transfer function model of nonminimum phase system.
出处 《控制与决策》 EI CSCD 北大核心 2003年第5期611-614,共4页 Control and Decision
基金 国家自然科学基金资助项目(69974029)。
关键词 盲辨识 过采样 最小相位系统 Blind identification Over-sampling Minimum phase systems
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参考文献5

  • 1Godard D N. Self-recovering equalization and carrier tracking in two-dimensional data communication systems [J]. IEEE Trans on Communications, 1988,28(11): 1867-1875.
  • 2Mendel M. Tutorial on high-order statistics (spectra) in signal processing and system theory: Theoretical results and applications[J]. Proc IEEE, 1991, 79(3) :277-305.
  • 3Moulines E, Duhamel P, Cardoso J. Subspace methods for the blind identification of multi-channel FIR filters[J]. IEEE Trans Signal Processing, 1995, 43 (2):516-525.
  • 4Xu G, Liu H, Tong L. A least-squares approach to blind channel identification [J ]. IEEE Trans Signal Processing, 1995, 43(12): 2982-2993.
  • 5Hua Y. Fast maximum likelihood for blind identification of multiple FIR channels [J]. IEEE Trans Signal Processing, 1996, 44(3): 661-672.

同被引文献36

  • 1胡怀中,孙连明,刘文江.输出过采样闭环系统辨识方法中最优过采样率的选择[J].西安交通大学学报,2004,38(12):1211-1215. 被引量:3
  • 2王丹,蒋铃鸽,何晨.一种逆迭代互关系子空间SIMO信道盲辨识方法[J].电子学报,2006,34(7):1226-1230. 被引量:2
  • 3Hua Y. Blind methods of system identification[J]. Circuits, Systems and Signal Processing, 2002, 21(1) : 91 - 108.
  • 4Radenkovic M, Bose T. Global convergence of a blind multichannel identification algorithm[J]. Signal Processing ,2004, 84 (8) :1273 - 1284.
  • 5Carvalho E D, Dirk Slock. Blind and semi-blind FIR multichan nel estimation: (Global) identifiability conditions [J]. IEEE Trans. on Signal Processing, 2004, 52(4): 1053 - 1064.
  • 6Xie N, Leung H. Blind identification of autoregressive system using chaos[J]. IEEE Trans. on Circuits and Systems Ⅰ: Fun damental Theory and Applications, 2005, 52(9) : 1953 - 1964.
  • 7Liu R. Direct multiple-channel blind equalization[J]. Circuits, Systems and Signal Processing, 1998, 17(1):117 - 122.
  • 8Goodman D J. Trends in cellular and cordless communication [J]. IEEE Communications Magazine, 1991,29(6):31 - 40.
  • 9Fang J, Leymanb A R, Chew Y H, et al. Some further results on blind identification of MIMO FIR channels via second order statistics[J]. Signal Processing, 2007, 87(6) :1434 - 1447.
  • 10Lathauwer L D, Castaing J, Cardoso J F. Fourth-order cumulant-based blind identification of underdetermined rnixtures[J]. IEEE Trans. on Signal Processing, 2007, 55 (6) : 2965 - 2973.

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