On Reduced Input-Output Dynamic Mode Decomposition

Benner P, Himpe C, Mitchell T

Forschungsartikel (Zeitschrift) | Peer reviewed

Zusammenfassung

The identification of reduced-order models from high-dimensional data is a challenging task, and even more so if the identified system should not only be suitable for a certain data set, but generally approximate the input-output behavior of the data source. In this work, we consider the input-output dynamic mode decomposition method for system identification. We compare excitation approaches for the data-driven identification process and describe an optimization-based stabilization strategy for the identified systems.

Details zur Publikation

FachzeitschriftAdvances in Computational Mathematics (Adv. Comp. Math)
Jahrgang / Bandnr. / Volume44
Ausgabe / Heftnr. / Issue6
Seitenbereich1751-1768
StatusVeröffentlicht
Veröffentlichungsjahr2018
Sprache, in der die Publikation verfasst istEnglisch
DOI10.1007/s10444-018-9592-x
StichwörterDynamic mode decomposition; Model reduction; System identification; Cross Gramian; Optimization

Autor*innen der Universität Münster

Himpe, Christian
Professur für Angewandte Mathematik, insbesondere Numerik (Prof. Ohlberger)