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 embedded in closed form in the macromodel structure through a mesh-free radial basis function representation, which allows scalability to a possibly large number of parameters. A greedy process is proposed to iteratively select a reduced number of training frequency responses, so that the macromodel accuracy is enforced uniformly in the parameter space. Examples with up to ten independent parameters demonstrate the effectiveness of proposed algorithm.
A mesh-free adaptive parametric macromodeling strategy with guaranteed stability / Zanco, A.; Grivet-Talocia, S.. - ELETTRONICO. - (2020), pp. 1-6. ((Intervento presentato al convegno 2020 International Symposium on Electromagnetic Compatibility - EMC EUROPE, EMC EUROPE 2020 tenutosi a Rome, Italy nel 2020 [10.1109/EMCEUROPE48519.2020.9245635].
Titolo: | A mesh-free adaptive parametric macromodeling strategy with guaranteed stability | |
Autori: | ||
Data di pubblicazione: | 2020 | |
Abstract: | This paper proposes a fully automated procedure for the generation of behavioral time-domain macr...omodels of complex multiport electric, electronic or electromagnetic systems, whose response depends on several design parameters. The latter are embedded in closed form in the macromodel structure through a mesh-free radial basis function representation, which allows scalability to a possibly large number of parameters. A greedy process is proposed to iteratively select a reduced number of training frequency responses, so that the macromodel accuracy is enforced uniformly in the parameter space. Examples with up to ten independent parameters demonstrate the effectiveness of proposed algorithm. | |
ISBN: | 978-1-7281-5579-1 | |
Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
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http://hdl.handle.net/11583/2920812