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

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

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 n...

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Bibliographic Details
Main Authors: Maffezzoni, Paolo (Author), Elfadel, Ibrahim M. (Author), Zhang, Zheng (Contributor), El Moselhy, Tarek Ali (Contributor), Daniel, Luca (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), Massachusetts Institute of Technology. Research Laboratory of Electronics (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2017-04-19T19:04:09Z.
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