Parameterized macromodeling of stochastic linear systems for frequency- and time-domain variability analysis

Y. Ye, D. Spina, G. Antonini, T. Dhaene
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引用次数: 3

Abstract

This paper presents a unique modeling framework able to describe general linear and passive systems depending on deterministic and stochastic parameters altogether. Once the stochastic macromodel is built, the variability analysis of the system under study can be accurately performed both in the frequency- and time-domain for any nominal value of the parameters considered in a suitable design space.
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用于频域和时域变异性分析的随机线性系统的参数化宏观建模
本文提出了一种独特的建模框架,能够同时描述依赖于确定性和随机参数的一般线性和被动系统。一旦建立了随机宏观模型,所研究的系统的可变性分析可以在频率和时域上准确地执行在适当的设计空间中考虑的参数的任何标称值。
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