Passivity enforcement is a key step in the extraction of linear macromodels of electrical interconnects and packages for Signal and Power Integrity applications. Most state-of-the-art techniques for passivity enforcement are based on suboptimal or approximate formulations that do not guarantee convergence. We introduce in this paper a new rigorous framework that casts passivity enforcement as a convex non-smooth optimization problem. Thanks to convexity, we are able to prove convergence to the optimal solution within a finite number of steps. The effectiveness of this approach is demonstrated through various numerical examples.
A guaranteed-convergence framework for passivity enforcement of linear macromodels / GRIVET TALOCIA, Stefano; Chinea, Alessandro; Calafiore, Giuseppe Carlo. - STAMPA. - (2012), pp. 53-56. (Intervento presentato al convegno IEEE 16th Workshop on Signal and Power Integrity (SPI) tenutosi a Sorrento (Italy) nel May 13-16, 2012) [10.1109/SaPIW.2012.6222910].
A guaranteed-convergence framework for passivity enforcement of linear macromodels
GRIVET TALOCIA, STEFANO;CHINEA, ALESSANDRO;CALAFIORE, Giuseppe Carlo
2012
Abstract
Passivity enforcement is a key step in the extraction of linear macromodels of electrical interconnects and packages for Signal and Power Integrity applications. Most state-of-the-art techniques for passivity enforcement are based on suboptimal or approximate formulations that do not guarantee convergence. We introduce in this paper a new rigorous framework that casts passivity enforcement as a convex non-smooth optimization problem. Thanks to convexity, we are able to prove convergence to the optimal solution within a finite number of steps. The effectiveness of this approach is demonstrated through various numerical examples.File | Dimensione | Formato | |
---|---|---|---|
cnf-2012-spi-hinf.pdf
accesso aperto
Tipologia:
2. Post-print / Author's Accepted Manuscript
Licenza:
PUBBLICO - Tutti i diritti riservati
Dimensione
800.18 kB
Formato
Adobe PDF
|
800.18 kB | Adobe PDF | Visualizza/Apri |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
https://hdl.handle.net/11583/2497967
Attenzione
Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo