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RCLK-VJ network reduction with Hurwitz polynomial approximation

机译:RCLK-VJ网络减少了Hurwitz多项式近似

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We propose a new linear network reduction algorithm based on a generalized Y-Δ transformation technique in s-domain. Resultant admittance is kept as a rational function of s with a dramatically reduced order. Yet it preserves low-order terms of exact admittance evaluated with traditional symbolic analysis. Stability of transfer functions derived from reduced-order admittance is guaranteed via a Hurwitz polynomial approximation. Such low-order transfer functions are used in pole analysis and time domain waveform evaluation in response to any input signal.
机译:我们提出了一种基于S域中广义Y-δ变换技术的新的线性网络缩减算法。得到的导纳作为S的合理功能,具有显着减少的顺序。然而,它保留了通过传统符号分析评估的低阶预留的低阶条件。通过Hurwitz多项式近似保证了从减小订单进入导出的转移函数的稳定性。响应于任何输入信号,这种低位传输函数用于极点分析和时域波形评估。

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