Non Intrusive Polynomial Chaos-based Stochastic Macromodeling of Multiport Systems

被引：14

作者：

Spina, D. ^{[1
]}

Ferranti, F. ^{[1
]}

Antonini, G. ^{[2
]}

Dhaene, T. ^{[1
]}

Knockaert, L. ^{[1
]}

机构：

[1] Ghent Univ IMinds, Dept Informat Technol, Internet Based Commun Networks & Serv IBCN, Gaston Crommenlaan 8 Bus 201, B-9000 Ghent, Belgium

[2] Univ Aquila, Dipartimento Ingn Elettr & Informaz, UAq EMC Lab, I-67100 Laquila, Italy

来源：

2014 IEEE 18TH WORKSHOP ON SIGNAL AND POWER INTEGRITY (SPI) | 2014年

关键词：

VARIABILITY ANALYSIS;

D O I：

10.1109/SAPIW.2014.6844542

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页数：4

共 13 条

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