Efficient Uncertainty Quantification for the Periodic Steady State of Forced and Autonomous Circuits
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Alternative title
Efficient Uncertainty Quantification for the Periodic Steady State of Forced and Autonomous Circuits
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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.
Date issued
2013-09Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science; Massachusetts Institute of Technology. Research Laboratory of ElectronicsJournal
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
ISSN
1549-7747
1558-3791