Outline Parametric Systems PMOR based on multi-moment matching (Krylov subspace PMOR) A Robust Algorithm Conclusions

Este trabalho propõe, detalha e investiga quatro abordagens para Redução de Ordem Paramétrica de Modelos (ROPM), aplicadas em estabilidade eletromecânica a pequenos …

Jan 11, 2020 · The objective of this paper is to develop a global non-intrusive Parametric Model Order Reduction (PMOR) methodology for the problem of changing well locations in an oil …

pyMOR is a software library for building model order reduction applications with the Python programming language. All algorithms in pyMOR are formulated in terms of abstract …

This Section introduces the framework of pMOR, which aims at generating reduced models for systems depending on a set of parameters. Section 5.2, written by Gabriela Ciuprina, …

Sep 12, 2022 · We develop an optimization-based algorithm for parametric model order reduction (PMOR) of linear time-invariant dynamical systems. Our method aims at minimizing the H∞ …

Local pMOR - Interpolation of Reduced Matrices To avoid having to assemble the full order model and performing the projection in the online phase one can also interpolate the reduced matrices.

In the context of global parameter tuning of structured controllers in large-scale systems, the exchange of tailored reduced-order models was recently proposed [1]. While many model …

Mar 22, 2021 · The objective of this paper is to develop a two-step predict and correct non-intrusive Parametric Model Order Reduction (PMOR) methodology for the problem of changing …

psssMOR includes algorithms for parametric model order reduction (pMOR) to obtain parameter-dependent reduced order models. Currently, the toolbox includes the Global Basis Approach …