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20172022
most citedA Perturbation Scheme for Passivity Verification and Enforcement of Parameterized Macromodels

29 citations · 56 across the 5 of their papers we have counts for

collaborators

5 papers

physics.med-ph2022

A Vector Fitting approach for the automated estimation of lumped boundary conditions of 1D circulation models

Elisa Fevola, Tommaso Bradde, Piero Triverio +1

The choice of appropriate boundary conditions is a crucial step in the development of cardiovascular models for blood flow simulations. The three-element Windkessel model is usuall…

math.NA2021★ 27 cited

An optimal control approach to determine resistance-type boundary conditions from in-vivo data for cardiovascular simulations

Elisa Fevola, Francesco Ballarin, Laura Jiménez-Juan +4

The choice of appropriate boundary conditions is a fundamental step in computational fluid dynamics (CFD) simulations of the cardiovascular system. Boundary conditions, in fact, hi…

cs.CE2020

A Multi-Stage Adaptive Sampling Scheme for Passivity Characterization of Large-Scale Macromodels

Marco De Stefano, Stefano Grivet-Talocia, Torben Wendt +2

This paper proposes a hierarchical adaptive sampling scheme for passivity characterization of large-scale linear lumped macromodels. Here, large-scale is intended both in terms of…

eess.SY2020

Handling Initial Conditions in Vector Fitting for Real Time Modeling of Power System Dynamics

Tommaso Bradde, Samuel Chevalier, Marco De Stefano +2

This paper develops a predictive modeling algorithm, denoted as Real-Time Vector Fitting (RTVF), which is capable of approximating the real-time linearized dynamics of multi-input…

cs.CE2017★ 29 cited

A Perturbation Scheme for Passivity Verification and Enforcement of Parameterized Macromodels

Stefano Grivet-Talocia

This paper presents an algorithm for checking and enforcing passivity of behavioral reduced-order macromodels of LTI systems, whose frequency-domain (scattering) responses depend o…