Optimal stochastic forcings for sensitivity analysis of linear dynamical systems

Pub Date : 2022-04-01 DOI:10.1515/rnam-2022-0009
Y. Nechepurenko, G. Zasko
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Abstract

Abstract The paper is devoted to the construction of optimal stochastic forcings for studying the sensitivity of linear dynamical systems to external perturbations. The optimal forcings are sought to maximize the Schatten norms of the response. As an example,we consider the problem of constructing the optimal stochastic forcing for the linear dynamical system arising from the analysis of large-scale structures in a stratified turbulent Couette flow.
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线性动力系统灵敏度分析的最优随机强迫
摘要本文致力于构造最优随机强迫,以研究线性动力系统对外部扰动的敏感性。寻求最优强迫以使响应的Schatten范数最大化。作为一个例子,我们考虑了由分层湍流Couette流中的大型结构分析引起的线性动力系统的最优随机强迫的构造问题。
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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