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Titel:

Parametric model order reduction using tensor principal orthogonal decomposition

Dokumenttyp:
Konferenzbeitrag
Art des Konferenzbeitrags:
Elektronisches Dokument
Autor(en):
Pak, M.; Cruz Varona, M; Hu, S.; Lohmann, B.
Abstract:
In this talk we will present tensor principal orthogonal decomposition (TPOD), a data-driven parametric model order reduction approach based on the multilinear singular value decomposition (MLSVD). Similarly to the principal orthogonal decomposition (POD), TPOD requires that a full order model be simulated with different parameter sample values. The obtained state trajectory snapshots are then organized in a snapshot tensor such that the state-space variables are arranged along the first and...     »
Kongress- / Buchtitel:
90th Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM 2019), Vienna, Austria
Kongress / Zusatzinformationen:
S22.01: Scientific computing
Datum der Konferenz:
February 18-22, 2019
Jahr:
2019
Quartal:
1. Quartal
Jahr / Monat:
2019-02
Monat:
Feb
Sprache:
en
WWW:
GAMM 2019
TUM Einrichtung:
Lehrstuhl für Regelungstechnik
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