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Biased reduction method by combining improved modified pole clustering and improved Pade approximations

机译:结合改进的修正极点聚类和改进的Pade逼近的偏减法

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摘要

This paper presents a mixed method to reduce the order of the linear high order dynamic systems by combining improved modified pole clustering technique and improved Pade approximations. The denominator of the reduced order model is computed by improved modified pole clustering while the numerator coefficients are obtained by improved Pade approximations. The proposed method is competent in generating 'k' number of reduced order models from the original high order system. The superiority of the proposed method is concluded through numerical examples taken from literature and compared with existing well- known order reduction methods.
机译:本文提出了一种通过组合改进的改进极点聚类技术和改进的Pade逼近来降低线性高阶动力系统阶数的混合方法。降阶模型的分母通过改进的改进极点聚类计算,而分子系数通过改进的Pade逼近获得。所提出的方法能够从原始高阶系统生成“ k”个降阶模型。提出的方法的优越性是通过从文献中获得的数值示例得出的,并与现有的众所周知的降阶方法进行了比较。

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