On Reduced Input-Output Dynamic Mode Decomposition
Systems and Control
2017-12-25 v1 Numerical Analysis
Optimization and Control
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.
Cite
@article{arxiv.1712.08447,
title = {On Reduced Input-Output Dynamic Mode Decomposition},
author = {Peter Benner and Christian Himpe and Tim Mitchell},
journal= {arXiv preprint arXiv:1712.08447},
year = {2017}
}