arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2003.06049math.OC
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基于极点-零点配置和高阶矩匹配的模型降阶

Model reduction with pole-zero placement and high order moment matching

Tudor C. Ionescu, Orest V. Iftime, Ion Necoara

摘要:

在本文中,我们计算一个系统的低阶近似的大订单$n$匹配$ν$矩的顺序$j_i$的传递函数,在$ν$插值点,有$\ell$极点和$k$零固定,并匹配$ν-(\ell +k)$矩的顺序$j_i+1$,其中$j_i+1$是重数的$i$ -th插值点。我们推导出明确的线性系的自由参数,同时实现所需的极点-零点的位置,并匹配所需的高阶矩。我们计算满足约束条件的自由参数的封闭形式,作为一个$ν$阶线性系统的解决方案。此外,对于数据驱动的模型简化,我们将Loewner矩阵的构造推广到包括数据和施加的极点和高阶矩约束。所得到的近似实现了良好的范数近似和保存的原系统的动态感兴趣的区域之间的权衡。

英文摘要:

In this paper, we compute a low order approximation of a system of large order $n$ that matches $ν$ moments of order $j_i$ of the transfer function, at $ν$ interpolation points, has $\ell$ poles and $k$ zeros fixed and also matches $ν-(\ell +k)$ moments of order $j_i+1$, where $j_i+1$ is the multiplicity of the $i$-th interpolation point. We derive explicit linear systems in the free parameters to simultaneously achieve the required pole-zero placement and match the desired high order moments. We compute the closed form of the free parameters that meet the constraints, as the solution of a $ν$ order linear system. Furthermore, for data-driven model reduction, we generalize the construction of the Loewner matrices to include the data and the imposed pole and higher order moment constraints. The resulting approximations achieve a trade-off between the good norm approximation and the preservation of the dynamics of the original system in a region of interest.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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