Krylov subspace model order reduction of linear dynamical systems with quadratic output

IF 17.7 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Accounts of Chemical Research Pub Date : 2024-07-23 DOI:10.1177/01423312241257298
Yan-Ping Bu
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Abstract

This paper presents Krylov subspace model order reduction of linear dynamical systems with quadratic output. To reach this goal, the quadratic transfer function with two variables is taken into consideration. The Krylov subspaces are established at the finite and the infinite frequency points where both the one-sided and the two-sided projection cases are discussed. The moment matching is accordingly studied and the quadratic transfer function of the reduced system resulting from the two-sided projection case can match more moments. Finally, numerical results illustrate the performance of the proposed Krylov model order reduction methodology.
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具有二次输出的线性动力系统的克雷洛夫子空间模型阶次缩减
本文介绍了具有二次输出的线性动力系统的 Krylov 子空间模型阶次缩减。为了实现这一目标,本文考虑了具有两个变量的二次传递函数。在有限频点和无限频点建立了 Krylov 子空间,讨论了单面和双面投影情况。对力矩匹配进行了相应的研究,双面投影情况下产生的还原系统的二次传递函数可以匹配更多的力矩。最后,数值结果说明了所提出的克雷洛夫模型阶次缩减方法的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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