Efficient Uncertainty Quantification for the Periodic Steady State of Forced and Autonomous Circuits

@article{Zhang2013EfficientUQ,
  title={Efficient Uncertainty Quantification for the Periodic Steady State of Forced and Autonomous Circuits},
  author={Z. Zhang and T. El-Moselhy and P. Maffezzoni and I. Elfadel and L. Daniel},
  journal={IEEE Transactions on Circuits and Systems II: Express Briefs},
  year={2013},
  volume={60},
  pages={687-691}
}
  • Z. Zhang, T. El-Moselhy, +2 authors L. Daniel
  • Published 2013
  • Computer Science, Mathematics
  • IEEE Transactions on Circuits and Systems II: Express Briefs
  • 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… CONTINUE READING

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