Fast Stochastic Surrogate Modeling via Rational Polynomial Chaos Expansions and Principal Component Analysis

Fast Stochastic Surrogate Modeling via Rational Polynomial Chaos Expansions and Principal Component Analysis

This paper introduces a fast stochastic surrogate modeling technique for the frequency-domain responses of linear and passive electrical and electromagnetic systems based on polynomial chaos expansion (PCE) and principal component analysis (PCA). A rational PCE model provides high accuracy, whereas...

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Bibliographic Details
Main Authors: Paolo Manfredi, Stefano Grivet-Talocia
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Multiport systems
polynomial chaos
principal component analysis
rational modeling
surrogate modeling
variability analysis
Online Access:https://ieeexplore.ieee.org/document/9486948/

Internet

https://ieeexplore.ieee.org/document/9486948/

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