Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Alessandro Zanco"'
Publikováno v:
IEEE Access, Vol 10, Pp 15786-15804 (2022)
A robust algorithm for the extraction of reduced-order behavioral models from sampled frequency responses is proposed. The system under investigation can be any Linear and Time Invariant structure, although the main emphasis is on devices that are re
Externí odkaz:
https://doaj.org/article/bea8515ca0df4006b74080ec25652516
Publikováno v:
International Journal of Circuit Theory and Applications. 51:1503-1529
Publikováno v:
IEEE Transactions on Components, Packaging and Manufacturing Technology. 11:1402-1416
This article presents a fully automated algorithm for the extraction of parameterized macromodels from frequency responses. The reference framework is based on a frequency-domain rational approximation combined with a parameter-space expansion into G
Autor:
Alessandro Zanco, Pedro Toledo, Stefano Grivet-Talocia, Giuseppe Carlo Calafiore, Paolo Stefano Crovetti, Anton V. Proskurnikov, Tommaso Bradde
Publikováno v:
IEEE Transactions on Components, Packaging and Manufacturing Technology. 11:1355-1368
This article proposes a black-box behavioral modeling framework for analog circuit blocks (CBs) operating under small-signal conditions around nonstationary operating points. Such variations may be induced either by changes in the loading conditions
Publikováno v:
Advanced Time Domain Modeling for Electrical Engineering ISBN: 9781839531538
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02ce5620c6d980450e2266e108c2b033
http://hdl.handle.net/11583/2970909
http://hdl.handle.net/11583/2970909
Publikováno v:
2020 International Symposium on Electromagnetic Compatibility - EMC EUROPE.
This paper proposes a fully automated procedure for the generation of behavioral time-domain macromodels of complex multiport electric, electronic or electromagnetic systems, whose response depends on several design parameters. The latter are embedde
Reduced-order models are widely used to reduce the computational cost required by the numerical assessment of electrical performance during the design cycle of electronic circuits and systems. Although standard macromodeling algorithms can be conside
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14a6b8b3cb4741316e30c9292d6c93b1
http://hdl.handle.net/11583/2850030
http://hdl.handle.net/11583/2850030
This paper introduces a simple and effective algorithm for the automated selection of Radial Basis Function hyperparameters in the context of high-dimensional multivariate macromodeling. Numerical results show an average speedup of at least one order
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af620be60dfb1b35d674e00bc73f7edc
http://hdl.handle.net/11583/2850028
http://hdl.handle.net/11583/2850028