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Title:

Parametric model order reduction using tensor principal orthogonal decomposition

Document type:
Konferenzbeitrag
Contribution type:
Elektronisches Dokument
Author(s):
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...     »
Book / Congress title:
90th Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM 2019), Vienna, Austria
Congress (additional information):
S22.01: Scientific computing
Date of congress:
February 18-22, 2019
Year:
2019
Quarter:
1. Quartal
Year / month:
2019-02
Month:
Feb
Language:
en
WWW:
GAMM 2019
TUM Institution:
Lehrstuhl für Regelungstechnik
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