Abstract The Vector Fitting (VF) technique has become a mature rational approximation tool. This paper proposes two enhancements that increase the VF computational efficiency, resulting in reduced CPU time while maintaining a desired precision of the approximation. The first enhancement consists of a stopping criterion to automatically interrupt the VF iterative process when the fitting error does not vary significantly. The second one is based on frequency partition and order reduction of the rational model. The computational gain by the proposed enhancements is verified via fitting of a multi-input multi-output test system of considerable complexity that includes transmission lines modelled as distributed-parameter lines.

中文翻译：

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通过使用停止准则、频率划分和模型降阶来增强矢量拟合实现

摘要 矢量拟合（VF）技术已经成为一种成熟的有理逼近工具。本文提出了两项​​增强功能，可提高 VF 计算效率，从而减少 CPU 时间，同时保持所需的近似精度。第一个增强包括一个停止标准，当拟合误差没有显着变化时，它会自动中断 VF 迭代过程。第二种是基于频率划分和降阶的理性模型。通过拟合具有相当复杂性的多输入多输出测试系统，包括建模为分布式参数线的传输线，可以验证所提出的增强的计算增益。