This paper describes a macromodeling algorithm to build behavioral models of nonlinear systems and components in a data-driven manner. The main tool is an extension of the Vector Fitting algorithm to perform rational approximation of multivariate transfer functions that describe nonlinear systems according to Volterra series theory. In addition to the rational model, a realization in terms of differential equations is provided so as to enable time-domain simulation. The raw data required by this algorithm can be extracted by means of Harmonic Balance analysis or from X-parameters, both available in commercial software.
An Extension of Vector Fitting to Weakly Nonlinear Circuits / Carlucci, Antonio; Gosea, Ion Victor; Grivet-Talocia, Stefano. - ELETTRONICO. - (2025), pp. 1-4. (Intervento presentato al convegno 29th IEEE Workshop on Signal and Power Integrity, SPI 2025 tenutosi a Gaeta (Ita) nel 11-14 May 2025) [10.1109/spi64682.2025.11014338].
An Extension of Vector Fitting to Weakly Nonlinear Circuits
Carlucci, Antonio;Grivet-Talocia, Stefano
2025
Abstract
This paper describes a macromodeling algorithm to build behavioral models of nonlinear systems and components in a data-driven manner. The main tool is an extension of the Vector Fitting algorithm to perform rational approximation of multivariate transfer functions that describe nonlinear systems according to Volterra series theory. In addition to the rational model, a realization in terms of differential equations is provided so as to enable time-domain simulation. The raw data required by this algorithm can be extracted by means of Harmonic Balance analysis or from X-parameters, both available in commercial software.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/3001250