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首页> 外文期刊>Automatica Sinica, IEEE/CAA Journal of >Stable model order reduction method for fractional-order systems based on unsymmetric Lanczos algorithm
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Stable model order reduction method for fractional-order systems based on unsymmetric Lanczos algorithm

机译:基于不对称Lanczos算法的分数阶系统稳定模型降阶方法

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摘要

This study explores a stable model order reduction method for fractional-order systems. Using the unsymmetric Lanczos algorithm, the reduced order system with a certain number of matched moments is generated. To obtain a stable reduced order system, the stable model order reduction procedure is discussed. By the revised operation on the tridiagonal matrix produced by the unsymmetric Lanczos algorithm, we propose a reduced order modeling method for a fractional-order system to achieve a satisfactory fitting effect with the original system by the matched moments in the frequency domain. Besides, the bound function of the order reduction error is offered. Two numerical examples are presented to illustrate the effectiveness of the proposed method.
机译:本研究探索了分数阶系统的稳定模型降阶方法。使用非对称Lanczos算法,可以生成具有一定数量的匹配矩的降阶系统。为了获得稳定的降阶系统,讨论了稳定的模型降阶程序。通过对非对称Lanczos算法产生的三对角矩阵的修正运算,我们提出了分数阶系统的降阶建模方法,以通过频域中的匹配矩实现与原始系统的满意拟合效果。此外,还提供了降阶误差的界函数。给出了两个数值例子,说明了该方法的有效性。

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