A survey of projection-based model reduction methods for parametric dynamical systems
Numerical simulation of large-scale dynamical systems plays a fundamental role in studying
a wide range of complex physical phenomena; however, the inherent large-scale nature of …
a wide range of complex physical phenomena; however, the inherent large-scale nature of …
Model order reduction for linear and nonlinear systems: a system-theoretic perspective
In the past decades, Model Order Reduction (MOR) has demonstrated its robustness and
wide applicability for simulating large-scale mathematical models in engineering and the …
wide applicability for simulating large-scale mathematical models in engineering and the …
Reduced-order aggregate model for large-scale converters with inhomogeneous initial conditions in DC microgrids
In practical microgrids, the inhomogeneous initial values are widely appeared due to soft-
starting operation. If traditional model order reduction approaches are applied, the input …
starting operation. If traditional model order reduction approaches are applied, the input …
Data-driven reduced model construction with time-domain Loewner models
This work presents a data-driven nonintrusive model reduction approach for large-scale time-
dependent systems with linear state dependence. Traditionally, model reduction is …
dependent systems with linear state dependence. Traditionally, model reduction is …
Balanced truncation model order reduction in limited time intervals for large systems
P Kürschner - Advances in Computational Mathematics, 2018 - Springer
In this article we investigate model order reduction of large-scale systems using time-limited
balanced truncation, which restricts the well known balanced truncation framework to …
balanced truncation, which restricts the well known balanced truncation framework to …
Model reduction for systems with inhomogeneous initial conditions
We consider the model reduction problem for linear time-invariant dynamical systems
having nonzero (but otherwise indeterminate) initial conditions. Building upon the …
having nonzero (but otherwise indeterminate) initial conditions. Building upon the …
Local–global multiscale model reduction for flows in high-contrast heterogeneous media
In this paper, we study model reduction for multiscale problems in heterogeneous high-
contrast media. Our objective is to combine local model reduction techniques that are based …
contrast media. Our objective is to combine local model reduction techniques that are based …
Structure-preserving interpolatory model reduction for port-Hamiltonian differential-algebraic systems
We examine interpolatory model reduction methods that are particularly well-suited for
treating large-scale port-Hamiltonian differential-algebraic systems. We are able to take …
treating large-scale port-Hamiltonian differential-algebraic systems. We are able to take …
H2 pseudo-optimal model order reduction
T Wolf - 2014 - mediatum.ub.tum.de
The cornerstone of the thesis is to motivate and comprehensively characterise H 2 pseudo-
optimality in the linear model order reduction of large-scale dynamical systems based on …
optimality in the linear model order reduction of large-scale dynamical systems based on …
Domain decomposition and model reduction for the numerical solution of PDE constrained optimization problems with localized optimization variables
H Antil, M Heinkenschloss, RHW Hoppe… - … and Visualization in …, 2010 - Springer
We introduce a technique for the dimension reduction of a class of PDE constrained
optimization problems governed by linear time dependent advection diffusion equations for …
optimization problems governed by linear time dependent advection diffusion equations for …