Adaptive wavelet stochastic collocation for resonant transmission line circuits

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

An adaptive wavelet stochastic collocation method for uncertainty quantification is applied to a resonant circuit with stochastic parameters. The outputs of many electrical systems vary rapidly with respect to internal random parameters, for example due to resonance conditions. Accurate and efficient characterization of output statistics is key in designing systems with irregularities, but poses a challenge for conventional sampling-based stochastic collocation methods. The adaptive method in this paper constructs a hierarchical sparse grid approximation using wavelet basis functions. Since wavelet expansion coefficients are rigorous error estimators, wavelet sparse grids can potentially meet error tolerances with optimal efficiency and outperform local polynomial and other adaptive finite-element methods. The advantages and efficiency of this method is explored in the context of the circuit problem presented.

Original languageEnglish (US)
Title of host publication2017 IEEE 26th Conference on Electrical Performance of Electronic Packaging and Systems, EPEPS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-3
Number of pages3
ISBN (Electronic)9781467364836
DOIs
StatePublished - Apr 2 2018
Event26th IEEE Conference on Electrical Performance of Electronic Packaging and Systems, EPEPS 2017 - San Jose, United States
Duration: Oct 15 2017Oct 18 2017

Publication series

Name2017 IEEE 26th Conference on Electrical Performance of Electronic Packaging and Systems, EPEPS 2017
Volume2018-January

Other

Other26th IEEE Conference on Electrical Performance of Electronic Packaging and Systems, EPEPS 2017
CountryUnited States
CitySan Jose
Period10/15/1710/18/17

Keywords

  • Electromagnetics (EM) and EM Interference modeling
  • simulation algorithms
  • tools and flows

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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