Passivity Correction of Loewner Macromodeling using Spectral Zeros Method
| Autor: | Anestis Dounavis, Mohamed Sahouli |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Computer science
Passivity 020206 networking & telecommunications 02 engineering and technology Transfer function 020202 computer hardware & architecture Data modeling Matrix (mathematics) Feature (computer vision) 0202 electrical engineering electronic engineering information engineering State space Point (geometry) Algorithm Interpolation |
| Zdroj: | 2019 IEEE 28th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS). |
| DOI: | 10.1109/epeps47316.2019.193224 |
| Popis: | This paper presents a passive macromodeling technique using the Loewner matrix (LM) algorithm for modeling distributed circuits characterized by frequency-domain data. A methodology is described based on a frequency point selection technique, which increases the likelihood that the unreduced Loewner matrices form a passive system. Then the proposed algorithm reduces the LM descriptor state space (DSS) matrices using the spectral zeros method (SZM). A key feature of the spectral zeros method is that it preserves the passivity of the reduced system, if the original system is passive. A numerical example is provided to illustrate the validity of the proposed work. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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