A robust model order reduction method for large-scale PEEC models with many delays is proposed. The method reduces the size of the original model by interpolating the transfer function of the time-delayed system. The resulting reduced-order model is accurate both in the frequency domain and in the time domain. Moreover, the reduced-order model successfully filters the instability behavior of the original model and exhibits stability over a large time interval.

Stable macromodels for delayed PEEC models with error estimation

Lombardi L.;Antonini G.;
2021

Abstract

A robust model order reduction method for large-scale PEEC models with many delays is proposed. The method reduces the size of the original model by interpolating the transfer function of the time-delayed system. The resulting reduced-order model is accurate both in the frequency domain and in the time domain. Moreover, the reduced-order model successfully filters the instability behavior of the original model and exhibits stability over a large time interval.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11697/174692
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