This paper deals with the uncertainty quantification applied to the analysis of Integrated Voltage Regulator (IVR) efficiency. It presents a meta-model based on a sparse polynomial chaos technique, aiming at estimating statistical quantities of a response with a relative low computational cost compared to Monte Carlo (MC) simulation. Results obtained are validated against MC simulation.
Uncertainty quantification of SiP based integrated voltage regulator / Barbi, M.; Torun, H. M.; Swaminathan, M.; Stievano, I. S.; Canavero, F. G.; Besnier, P.. - STAMPA. - (2018), pp. 1-4. (Intervento presentato al convegno 22nd IEEE Workshop on Signal and Power Integrity, SPI 2018 tenutosi a Brest (France) nel 2018) [10.1109/SaPIW.2018.8401677].
Uncertainty quantification of SiP based integrated voltage regulator
Stievano, I. S.;Canavero, F. G.;
2018
Abstract
This paper deals with the uncertainty quantification applied to the analysis of Integrated Voltage Regulator (IVR) efficiency. It presents a meta-model based on a sparse polynomial chaos technique, aiming at estimating statistical quantities of a response with a relative low computational cost compared to Monte Carlo (MC) simulation. Results obtained are validated against MC simulation.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2712386
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