This brief paper 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.
@article{arxiv.1409.4826,
title = {Efficient Uncertainty Quantification for the Periodic Steady State of Forced and Autonomous Circuits},
author = {Zheng Zhang and Tarek A. El-Moselhy and Paolo Maffezzoni and Ibrahim and M. Elfadel and Luca Daniel},
journal= {arXiv preprint arXiv:1409.4826},
year = {2016}
}
Comments
Published by IEEE Trans Circuits and Systems II: Express Briefs in 2013