Emergent Mind
Efficient Uncertainty Quantification for the Periodic Steady State of Forced and Autonomous Circuits
(1409.4826)
Published Sep 16, 2014
in
cs.CE
Abstract
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.
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