Efficient Uncertainty Quantification for the Periodic Steady State of   Forced and Autonomous Circuits
  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. 
Zheng Zhang, Tarek A. El-Moselhy, Paolo Maffezzoni, Ibrahim (Abe) M.   Elfadel, Luca Daniel
cs.CE