In this work, we present a novel data-driven method for identifying parametric MIMO
generalized state-space or descriptor systems of low order that accurately capture the …

This article proposes a black-box behavioral modeling framework for analog circuit blocks
(CBs) operating under small-signal conditions around nonstationary operating points. Such …

This article presents a fully automated algorithm for the extraction of parameterized
macromodels from frequency responses. The reference framework is based on a frequency …

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 …

A novel dissipativity characterization is proposed for linear time‐invariant circuits and
systems whose dynamic behavior depends on one external parameter. The proposed …

This paper proposes a fully automated procedure for the generation of behavioral time-
domain macromodels of complex multiport electric, electronic or electromagnetic systems …

Mathematical modeling has become essential for the electronic industry. Today's market
necessities demand to match the conflicting requirements of increasingly faster workflows …

This paper introduces a simple and effective algorithm for the automated selection of Radial
Basis Function hyperparameters in the context of high-dimensional multivariate …