We address the generation of broadband macromodels of complex linear systems via rational curve fitting. We show that standard approaches may not ensure that the macromodel accuracy is preserved in system-level simulations, under loading conditions that are different from the adopted identification settings. Our main contribution is an automated procedure for the definition of a frequency-dependent norm weighting strategy that tunes the macromodel accuracy for a specific nominal termination network, thus improving model robustness under realistic operation.

Tuning the accuracy of rational macromodels to nominal load conditions / GRIVET TALOCIA, Stefano; UBOLLI MACCO, Andrea; Chinea, Alessandro; Bandinu, Michelangelo. - STAMPA. - (2014), pp. 21-22. (Intervento presentato al convegno The 10th International Conference on Scientific Computing in Electrical Engineering SCEE 2014 tenutosi a Wuppertal nel July 22-25, 2014).

Tuning the accuracy of rational macromodels to nominal load conditions

GRIVET TALOCIA, STEFANO;UBOLLI MACCO, ANDREA;CHINEA, ALESSANDRO;BANDINU, MICHELANGELO
2014

Abstract

We address the generation of broadband macromodels of complex linear systems via rational curve fitting. We show that standard approaches may not ensure that the macromodel accuracy is preserved in system-level simulations, under loading conditions that are different from the adopted identification settings. Our main contribution is an automated procedure for the definition of a frequency-dependent norm weighting strategy that tunes the macromodel accuracy for a specific nominal termination network, thus improving model robustness under realistic operation.
File in questo prodotto:
File Dimensione Formato  
cnf-2014-scee-sensitivity.pdf

accesso aperto

Tipologia: Abstract
Licenza: PUBBLICO - Tutti i diritti riservati
Dimensione 126.22 kB
Formato Adobe PDF
126.22 kB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2570568
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo