Efficient uncertainty quantification for the periodic steady state of forced and autonomous circuits

Zheng Zhang; Tarek A. El-Moselhy; Paolo Maffezzoni; Ibrahim M. Elfadel; Luca Daniel

doi:10.1109/TCSII.2013.2278110

Efficient uncertainty quantification for the periodic steady state of forced and autonomous circuits

Zheng Zhang, Tarek A. El-Moselhy, Paolo Maffezzoni, Ibrahim M. Elfadel, Luca Daniel

Electrical Engineering

Research output: Contribution to journal › Article › peer-review

18 Scopus citations

Abstract

This brief proposes an uncertainty quantification method for the periodic steady-state (PSS) analysis with both Gaussian and non-Gaussian variations. Our stochastic testing formulation for the PSS problem provides superior efficiency over both Monte Carlo methods and existing spectral methods. The numerical implementation of a stochastic shooting Newton solver is presented for both forced and autonomous circuits. Simulation results on some analog/RF circuits are reported to show the effectiveness of our proposed algorithms.

Original language	British English
Article number	6588881
Pages (from-to)	687-691
Number of pages	5
Journal	IEEE Transactions on Circuits and Systems II: Express Briefs
Volume	60
Issue number	10
DOIs	https://doi.org/10.1109/TCSII.2013.2278110
State	Published - 2013

Keywords

Circuit simulation
periodic steady state
stochastic testing (ST)
uncertainty quantification (UQ)

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10.1109/TCSII.2013.2278110

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AU - Daniel, Luca

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Efficient uncertainty quantification for the periodic steady state of forced and autonomous circuits

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Keywords

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