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  4. Regularized and compressed large-scale rational macromodeling: Theory and application to energy-selective shielding enclosures
 
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Regularized and compressed large-scale rational macromodeling: Theory and application to energy-selective shielding enclosures

Citation Link: https://doi.org/10.15480/882.4700
Publikationstyp
Journal Article
Date Issued
2022-06-07
Sprache
English
Author(s)
Stefano, Marco de  
Wendt, Torben  
Yang, Cheng  
Grivet-Talocia, Stefano  
Schuster, Christian  
Institut
Theoretische Elektrotechnik E-18  
TORE-DOI
10.15480/882.4700
TORE-URI
http://hdl.handle.net/11420/12936
Journal
IEEE transactions on electromagnetic compatibility  
Volume
64
Issue
5
Start Page
1365
End Page
1379
Citation
IEEE Transactions on Electromagnetic Compatibility 64 (5): 1365-1379 (2022)
Publisher DOI
10.1109/TEMC.2022.3176093
Scopus ID
2-s2.0-85131744872
Publisher
IEEE
In this article, we introduce a robust procedure for the extraction of passive rational macromodels of low-loss electromagnetic structures with massive port counts. Such structures pose inherent challenges that make standard macromodeling tools and approaches inadequate, mainly due to complexity and sensitivity at low frequency. The proposed approach involves a preprocessing stage in which port response data from a full-wave electromagnetic solver are regularized and extrapolated to dc using an asymptotic modal representation. The resulting data samples are then processed by a dedicated compression algorithm that represents the full set of input–output responses in terms of a few basis functions, which are constructed by enforcing an exact low-frequency modal asymptotic behavior, possibly including higher order dc zeros. These zeros are preserved in any stage of rational fitting and passivity enforcement, resulting in dc and low-frequency compliant compressed passive macromodels. Numerical results with up to 400 ports demonstrate the superior performance and accuracy of the computed models with respect to state-of-the-art approaches. In particular, the resulting models preserve their accuracy irrespective of the loading conditions, including the limit cases of short and open terminations.
Subjects
Admittance
Behavioral sciences
Computational modeling
Data reduction
Extrapolation
field circuit coupling
Impedance
Integrated circuit modeling
large-scale
low-frequency
macromodeling
nonlinear circuits
Sensitivity
DDC Class
600: Technik
Publication version
publishedVersion
Lizenz
https://creativecommons.org/licenses/by/4.0/
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