Enabling forward uncertainty quantification and sensitivity analysis in cardiac electrophysiology by reduced order modeling and machine learning. [PDF]
Int J Numer Method Biomed Eng, 2021 Pagani S, Manzoni A.
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Recent Advances in reduced-order modeling of complex interconnects [PDF]
, 2001 Canavero, Flavio +2 more
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A sequential semidefinite programming method and an application in passive reduced-order modeling
, 2005 We consider the solution of nonlinear programs with nonlinear semidefiniteness constraints. The need for an efficient exploitation of the cone of positive semidefinite matrices makes the solution of such nonlinear semidefinite programs more complicated ...
Freund, Roland W. +2 more
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Koopman Reduced-Order Modeling with Confidence Bounds
SIAM Journal on Applied Dynamical SystemsThis paper introduces a reduced order modeling technique based on Koopman operator theory that gives confidence bounds on the model's predictions. It is based on a data-driven spectral decomposition of the Koopman operator. The reduced order model is constructed using a finite number of Koopman eigenvalues and modes, while the rest of spectrum is ...
Mohr, Ryan +2 more
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Pade-Type Model Reduction of Second-Order and Higher-Order Linear Dynamical Systems
, 2004 A standard approach to reduced-order modeling of higher-order linear dynamical systems is to rewrite the system as an equivalent first-order system and then employ Krylov-subspace techniques for reduced-order modeling of first-order systems.
Freund, Roland W.
core
A comparison of reduced-order techniques for complex interconnects modeling [PDF]
, 2002 Canavero, Flavio +3 more
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Active Flutter Suppression Using Reduced-Order Modeling for Transonic Aeroservoelastic Control Law Development [PDF]
In this paper, several aerodynamic reduced-order models (ROMs) are generated and coupled with structural models to form aeroelastic ROMs. The aerodynamic ROMs generated here include the effects of control surface motion and are appropriate for use in ...
Bartels, Robert E. +3 more
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Reduced-order modeling of composite slabs in fire. II: Thermal-structural analysis. [PDF]
J Struct Eng (N Y N Y), 2020 Jiang J, Main JA, Weigand JM, Sadek F.
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Multivariable frequency weighted model order reduction for control synthesis [PDF]
Quantitative criteria are presented for model simplification, or order reduction, such that the reduced order model may be used to synthesize and evaluate a control law, and the stability robustness obtained using the reduced order model will be ...
Schmidt, David K.
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Nonintrusive reduced order models
, 2018 Le but de cette thèse est de construire des modèles réduits permettant de se substituer à des logiciels de simulation de systèmes physiques complexes. Ces modèles réduits devront être rapides à interroger et seront identifiés sur la base d’un nombre limité de calculs issus du logiciel de simulation.
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