emgr - The Empirical Gramian Framework

Himpe C

Research article (journal) | Peer reviewed

Abstract

System Gramian matrices are a well-known encoding for properties of input-output systems such as controllability, observability or minimality. These so-called system Gramians were developed in linear system theory for applications such as model order reduction of control systems. Empirical Gramians are an extension to the system Gramians for parametric and nonlinear systems as well as a data-driven method of computation. The empirical Gramian framework - emgr - implements the empirical Gramians in a uniform and configurable manner, with applications such as Gramian-based (nonlinear) model reduction, decentralized control, sensitivity analysis, parameter identification and combined state and parameter reduction.

Details about the publication

JournalAlgorithms
Volume11
Issue7
StatusPublished
Release year2018
Language in which the publication is writtenEnglish
DOI10.3390/a11070091
Keywordsmodel reduction; model order reduction; decentralized control; sensitivity analysis; parameter identification; empirical gramians; nonlinear systems; reduced order systems; controllability; observability

Authors from the University of Münster

Himpe, Christian
Professorship of Applied Mathematics, especially Numerics (Prof. Ohlberger)