PORTO @ 
Archivio Istituzionale della Ricerca
IRIS è la soluzione IT che facilita la raccolta e la gestione dei dati relativi alle attività e ai prodotti della ricerca. Fornisce a ricercatori, amministratori e valutatori gli strumenti per monitorare i risultati della ricerca, aumentarne la visibilità e allocare in modo efficace le risorse disponibili.
EnglishThis paper presents a novel theoretical formulation and an associated algorithm for the computation of passive parameterized macromodels from tabulated scattering data. The main contribution is the construction of passivity constraints for parameterized models as a finite set of linear matrix inequalities, thanks to a suitable expansion into Bernstein polynomials. These constraints are embedded in the model identification process, leading to a convex formulation of passivity enforcement, with guaranteed convergence and without requiring any expensive multivariate passivity check. Two numerical examples demonstrate the effectiveness of the proposed approach.
Bivariate Macromodeling with Passivity Constraints / Bradde, Tommaso; Zanco, Alessandro; Grivet-Talocia, Stefano. - ELETTRONICO. - (2021), pp. 1-3. ((Intervento presentato al convegno 2021 IEEE 30th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS) tenutosi a Austin, TX, USA nel 17-20 Oct. 2021 [10.1109/EPEPS51341.2021.9609137].
| Titolo: | Bivariate Macromodeling with Passivity Constraints | |
| Autori: | ||
| Data di pubblicazione: | 2021 | |
| Abstract: | This paper presents a novel theoretical formulation and an associated algorithm for the computati...on of passive parameterized macromodels from tabulated scattering data. The main contribution is the construction of passivity constraints for parameterized models as a finite set of linear matrix inequalities, thanks to a suitable expansion into Bernstein polynomials. These constraints are embedded in the model identification process, leading to a convex formulation of passivity enforcement, with guaranteed convergence and without requiring any expensive multivariate passivity check. Two numerical examples demonstrate the effectiveness of the proposed approach. | |
| ISBN: | 978-1-6654-4269-5 | |
| Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
File in questo prodotto:
| File | Descrizione | Tipologia | Licenza | |
|---|---|---|---|---|
| cnf-2021-epeps-bernstein.pdf | 2. Post-print / Author's Accepted Manuscript | PUBBLICO - Tutti i diritti riservati | Visibile a tuttiVisualizza/Apri | |
| cnf-2021-epeps-bernstein-ieee-compressed.pdf | 2a Post-print versione editoriale / Version of Record | Non Pubblico - Accesso privato/ristretto | Administrator Richiedi una copia |
http://hdl.handle.net/11583/2947705
Copyright © 2022