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.
2012
9781467315029
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2497967
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