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EnglishThis paper proposes to generate a smart tool that can inherently and effectively capture the results of parameter variations on the system responses of lumped and distributed electrical circuits. This methodology leverages the so-called affine arithmetic and represents parameter-dependent responses in terms of a multivariate polynomial. The affine representation is propagated from input parameters to circuit responses through a suitable redefinition of the basic operations, such as addition, multiplication or matrix inversion, that are involved in the circuit solution. The proposed framework is applied to the frequency-domain analysis of switching converters, and it turns out to be accurate and more efficient than traditional solutions based on Monte Carlo analysis.
Worst-Case analysis of electrical and electronic equipment via affine arithmetic / Ding, Tongyu; Zhang, Liang; Trinchero, Riccardo; Stievano, IGOR SIMONE; Canavero, Flavio. - STAMPA. - (2017), pp. 991-993. ((Intervento presentato al convegno 2017 International Conference on Electromagnetics in Advanced Applications (ICEAA) tenutosi a Verona (Italy) nel 11-15 Sep. 2017.
| Titolo: | Worst-Case analysis of electrical and electronic equipment via affine arithmetic |
| Autori: | |
| Data di pubblicazione: | 2017 |
| Abstract: | This paper proposes to generate a smart tool that can inherently and effectively capture the resu...lts of parameter variations on the system responses of lumped and distributed electrical circuits. This methodology leverages the so-called affine arithmetic and represents parameter-dependent responses in terms of a multivariate polynomial. The affine representation is propagated from input parameters to circuit responses through a suitable redefinition of the basic operations, such as addition, multiplication or matrix inversion, that are involved in the circuit solution. The proposed framework is applied to the frequency-domain analysis of switching converters, and it turns out to be accurate and more efficient than traditional solutions based on Monte Carlo analysis. |
| ISBN: | 978-1-5090-4451-1 |
| Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
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| cnf-2017-ICEAA-AA.pdf | cnf-2017-ICEAA-AA.pdf | 2. Post-print / Author's Accepted Manuscript | PUBBLICO - Tutti i diritti riservati | Visibile a tuttiVisualizza/Apri |
http://hdl.handle.net/11583/2687788
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