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Non intrusive polynomial chaos-based stochastic macromodeling of multiport systems

Domenico Spina (UGent) , Francesco Ferranti (UGent) , G Antonini, Tom Dhaene (UGent) and Luc Knockaert (UGent)
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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
VARIABILITY ANALYSIS, IBCN, INTERCONNECTS

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Citation

Please use this url to cite or link to this publication:

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.
@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},
}

Web of Science
Times cited: