Model Order Reduction for Linear and Nonlinear Systems: A System-Theoretic Perspective

By Ulrike Baur, Peter Benner, Lihong Feng. Archives of Computational Methods in Engineering, 2014

349 citations recorded by the source corpus.

Subfields: Numerical Analysis, Statistical and Nonlinear Physics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/85006f330371c910fd893dbed9bf4edbbd7f87b4

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Numerical Analysis

1. Bernd Simeon
2. Oliver Weeger
3. Utz Wever

In Statistical and Nonlinear Physics

1. Bernd Simeon
2. Oliver Weeger
3. Utz Wever

In Statistics and Probability

1. Bernd Simeon
2. Oliver Weeger
3. Utz Wever

Citations in the corpus

• A Survey of Projection-Based Model Reduction Methods for Parametric Dynamical Systems (2015, neutral): “The relation between frequency-domain POD and approximate balanced truncation is further discussed in [30], where also relations to balanced truncation via low-rank Gramians computed by the ADI method and to moment-matching methods are studied.”
• On the use of modal derivatives for nonlinear model order reduction (2016, background): “A recent survey of the state-of-the-art in model order reduction is given in [1].”