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Frequency weighted model reduction via optimal projection

机译:频率加权模型通过最佳投影减少

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摘要

The problem of order reduction of a linear, time-invariant system with frequency weighting is considered. The resulting reduced-order model minimizes a quadratic error criterion in the frequency domain with either input or output frequency weighting. The problem is transformed to the time domain where the weighting matrix is expressed as a shaping filter that generates colored noise at the input. When the weighting matrix is singular at infinity, the reduced order model has a direct transmission term even if the original system is strictly proper. The additional degree of freedom enables better approximation over a specified frequency range.
机译:考虑了具有频率加权的线性,时间不变系统的顺序减小问题。所得到的缩小阶模型最小化具有输入或输出频率的频域中的二次误差标准。该问题转换为时域,其中加权矩阵表示为在输入处产生彩色噪声的整形滤波器。当加权矩阵在无穷大时,即使原始系统严格正确,降低的订单模型也具有直接传输术语。额外的自由度可以在指定的频率范围内更好地近似。

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