In the analysis and design of large-scale dynamical systems, model-reduction techniques aim at yielding a reasonable tradeoff between the contrasting needs of reducing the number of states and of reaching a good approximation of the overall system behavior. In the specific case of complex electromagnetic devices, a large number of state variables represent physical quantities in the overall system. This paper collocates along this line of research and aims at studying model-order-reduction techniques that maintain the mathematical formalism of system theory but at the same time keep consistency with the physics of the phenomena of interest.

A Novel Application of Selective Modal Analysis to Large-Scale Electromagnetic Devices

CENEDESE, ANGELO;BETTINI, PAOLO
2016

Abstract

In the analysis and design of large-scale dynamical systems, model-reduction techniques aim at yielding a reasonable tradeoff between the contrasting needs of reducing the number of states and of reaching a good approximation of the overall system behavior. In the specific case of complex electromagnetic devices, a large number of state variables represent physical quantities in the overall system. This paper collocates along this line of research and aims at studying model-order-reduction techniques that maintain the mathematical formalism of system theory but at the same time keep consistency with the physics of the phenomena of interest.
File in questo prodotto:
Non ci sono file associati a questo prodotto.
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/11577/3192600
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 8
  • ???jsp.display-item.citation.isi??? 7
social impact