Non intrusive Polynomial Chaos-based stochastic macromodeling of multiport systems

Author

Spina, Davide ; Ferranti, Francesco ; Antonini, Giulio ; Dhaene, Tom ; Knockaert, Luc

Author_Institution

Dept. of Inf. Technol., Ghent Univ., Ghent, Belgium

fYear

2014

fDate

11-14 May 2014

Firstpage

1

Lastpage

4

Abstract

We present a novel technique to efficiently perform the variability analysis of electromagnetic systems. The proposed method calculates a Polynomial Chaos-based macromodel of the system transfer function that includes its statistical properties. The combination of a non-intrusive Polynomial Chaos approach with the Vector Fitting algorithm allows to describe the system variability features with accuracy and efficiency. The results of the variability analysis performed with the proposed method are verified by means of comparison with respect to the standard Monte Carlo analysis.

Keywords

chaos; electromagnetic fields; multiport networks; polynomials; stochastic processes; transfer functions; Monte Carlo analysis; electromagnetic systems; multiport systems; nonintrusive polynomial chaos-based stochastic macromodeling; statistical properties; system transfer function; system variability feature analysis; vector fitting algorithm; Chaos; Computational modeling; Integrated circuit modeling; Polynomials; Random variables; Standards; Stochastic processes;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal and Power Integrity (SPI), 2014 IEEE 18th Workshop on

Conference_Location

Ghent

Type

conf

DOI

10.1109/SaPIW.2014.6844542

Filename

6844542