On Reduced Input-Output Dynamic Mode Decomposition

Peter Benner; Christian Himpe; Tim Mitchell

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arXiv · 1712.08447

On Reduced Input-Output Dynamic Mode Decomposition

Peter Benner·Christian Himpe·Tim Mitchell

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Abstract

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.

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Peter Benner, Christian Himpe, Tim Mitchell. 2017-12-22. On Reduced Input-Output Dynamic Mode Decomposition. https://arxiv.org/abs/1712.08447

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