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Non intrusive polynomial chaos-based stochastic macromodeling of multiport systems

Domenico Spina UGent, Francesco Ferranti, G Antonini, Tom Dhaene UGent and Luc Knockaert UGent (2014) 2014 IEEE 18th Workshop on Signal and Power Integrity (SPI). p.1-4
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.
Please use this url to cite or link to this publication:
author
organization
year
type
conference (proceedingsPaper)
publication status
published
subject
keyword
VARIABILITY ANALYSIS, IBCN, INTERCONNECTS
in
2014 IEEE 18th Workshop on Signal and Power Integrity (SPI)
pages
1 - 4
conference name
18th IEEE Workshop on Signal and Power Integrity (SPI)
conference location
Ghent, Belgium
conference start
2014-05-11
conference end
2014-05-14
Web of Science type
Proceedings Paper
Web of Science id
000364222200018
ISBN
978-1-4799-3599-4
language
English
UGent publication?
yes
classification
P1
copyright statement
I have transferred the copyright for this publication to the publisher
id
4431233
handle
http://hdl.handle.net/1854/LU-4431233
date created
2014-06-27 10:49:21
date last changed
2016-12-19 15:37:45
@inproceedings{4431233,
  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.},
  author       = {Spina, Domenico and Ferranti, Francesco and Antonini, G and Dhaene, Tom and Knockaert, Luc},
  booktitle    = {2014 IEEE 18th Workshop on Signal and Power Integrity (SPI)},
  isbn         = {978-1-4799-3599-4},
  keyword      = {VARIABILITY ANALYSIS,IBCN,INTERCONNECTS},
  language     = {eng},
  location     = {Ghent, Belgium},
  pages        = {1--4},
  title        = {Non intrusive polynomial chaos-based stochastic macromodeling of multiport systems},
  year         = {2014},
}

Chicago
Spina, Domenico, Francesco Ferranti, G Antonini, Tom Dhaene, and Luc Knockaert. 2014. “Non Intrusive Polynomial Chaos-based Stochastic Macromodeling of Multiport Systems.” In 2014 IEEE 18th Workshop on Signal and Power Integrity (SPI), 1–4.
APA
Spina, D., Ferranti, F., Antonini, G., Dhaene, T., & Knockaert, L. (2014). Non intrusive polynomial chaos-based stochastic macromodeling of multiport systems. 2014 IEEE 18th Workshop on Signal and Power Integrity (SPI) (pp. 1–4). Presented at the 18th IEEE Workshop on Signal and Power Integrity (SPI).
Vancouver
1.
Spina D, Ferranti F, Antonini G, Dhaene T, Knockaert L. Non intrusive polynomial chaos-based stochastic macromodeling of multiport systems. 2014 IEEE 18th Workshop on Signal and Power Integrity (SPI). 2014. p. 1–4.
MLA
Spina, Domenico, Francesco Ferranti, G Antonini, et al. “Non Intrusive Polynomial Chaos-based Stochastic Macromodeling of Multiport Systems.” 2014 IEEE 18th Workshop on Signal and Power Integrity (SPI). 2014. 1–4. Print.