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Frequency-weighted model reduction via quasi-Kalman decomposition

机译:通过拟卡尔曼分解的频率加权模型归约

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摘要

A frequency-weighted model reduction method based on quasi-Kalman decomposition is proposed for discrete systems. The method is essentially an extension of the technique presented by Lu and Lee (1985) to the frequency weighted case and can handle both single-sided as well as double-sided weights. Two illustrative examples show the effectiveness of the method and results are compared with the method developed by Enns (1984)
机译:提出了一种基于拟卡尔曼分解的频率加权模型约简方法。该方法实质上是Lu和Lee(1985)提出的技术在频率加权情况下的扩展,可以处理单面和双面重量。两个说明性例子说明了该方法的有效性,并将结果与​​Enns(1984)开发的方法进行了比较。

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