Archivio Istituzionale della RicercaThis paper provides a novel strategy for the extrapolation and regularization of low frequency data of low-loss or lossless structures, based on asymptotic modal trajectories. The proposed data-driven strategy is intended as a fundamental pre-processing step to obtain a full-bandwidth reliable macromodel to be used in transient simulations, providing full control of the low-frequency and DC behavior of the system.
Low-Frequency Modal Extrapolation and Regularization for Full-Bandwidth Macromodeling of Electromagnetic Structures / De Stefano, M.; Grivet-Talocia, S.; Wendt, T.; Yang, C.; Schuster, C.. - ELETTRONICO. - (2022), pp. 1-4. (Intervento presentato al convegno 2022 IEEE 26th Workshop on Signal and Power Integrity (SPI) tenutosi a Siegen, Germany nel 22-25 May 2022) [10.1109/SPI54345.2022.9874931].
Low-Frequency Modal Extrapolation and Regularization for Full-Bandwidth Macromodeling of Electromagnetic Structures
De Stefano, M.;Grivet-Talocia, S.;
2022
Abstract
This paper provides a novel strategy for the extrapolation and regularization of low frequency data of low-loss or lossless structures, based on asymptotic modal trajectories. The proposed data-driven strategy is intended as a fundamental pre-processing step to obtain a full-bandwidth reliable macromodel to be used in transient simulations, providing full control of the low-frequency and DC behavior of the system.
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cnf-2021-spi-lowFrequency.pdf
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cnf-2021-spi-lowFrequency-ieee.pdf
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https://hdl.handle.net/11583/2971248