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Application of genetic algorithms for estimation of impedance parameters of two-terminal networks

机译:遗传算法在估计两端网络阻抗参数中的应用

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摘要

A new procedure to estimate the value of the individual components of a two-terminal impedance network is presented. It is based on the application of genetic algorithms to the spectral fitting of the impedances' model. The expanded uncertainty of the estimated parameters is obtained through simulations and the algorithm is also applied to the measured frequency response of two impedance networks. Partial knowledge of spectral response is shown to be sufficient for the correct estimation of the individual component parameters.
机译:提出了一种估计两端阻抗网络各个分量值的新程序。它基于遗传算法在阻抗模型的频谱拟合中的应用。通过仿真获得了估计参数的扩展不确定性,并将该算法也应用于两个阻抗网络的测量频率响应。光谱响应的部分知识被证明足以正确估计各个组件参数。

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