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

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.