Efficient Uncertainty Quantification for the Periodic Steady State of Forced and Autonomous Circuits
Name
2. UQ PSS.pdf
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284.1 KB
Format
Adobe PDF
Checksum (MD5)
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Author(s)
Maffezzoni, Paolo
Elfadel, Ibrahim M.
Zhang, Zheng
El Moselhy, Tarek Ali
Daniel, Luca
Alternative Title
Efficient Uncertainty Quantification for the Periodic Steady State of Forced and Autonomous Circuits
Date Issued
September 2013
Journal
IEEE Transactions on Circuits and Systems II: Express Briefs
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Zhang, Zheng; El-Moselhy, Tarek A.; Maffezzoni, Paolo; Elfadel, Ibrahim M. and Daniel, Luca. “Efficient Uncertainty Quantification for the Periodic Steady State of Forced and Autonomous Circuits.” IEEE Trans. Circuits Syst. II 60, no. 10 (October 2013): 687–691. © 2013 Institute of Electrical and Electronics Engineers (IEEE)
Version
Author's final manuscript
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.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Research Laboratory of Electronics
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Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1109/TCSII.2013.2278110
