3 citations · 8 across the 5 of their papers we have counts for
4 papers · 1 filter
A modified AAA algorithm for learning stable reduced-order models from data
Tommaso Bradde, Stefano Grivet-Talocia, Quirin Aumann +1
In recent years, the Adaptive Antoulas-Anderson AAA algorithm has established itself as the method of choice for solving rational approximation problems. Data-driven Model Order Re…
Adaptive choice of near-optimal expansion points for interpolation-based structure-preserving model reduction
Quirin Aumann, Steffen W. R. Werner
Interpolation-based methods are well-established and effective approaches for the efficient generation of accurate reduced-order surrogate models. Common challenges for such method…
Practical challenges in data-driven interpolation: dealing with noise, enforcing stability, and computing realizations
Quirin Aumann, Ion Victor Gosea
In this contribution, we propose a detailed study of interpolation-based data-driven methods that are of relevance in the model reduction and also in the systems and control commun…
Structured model order reduction for vibro-acoustic problems using interpolation and balancing methods
Quirin Aumann, Steffen W. R. Werner
Vibration and dissipation in vibro-acoustic systems can be assessed using frequency response analysis. Evaluating a frequency sweep on a full-order model can be very costly, so mod…