Data-driven Stabilization of Discrete-time Control-affine Nonlinear Systems: A Koopman Operator Approach
Author:
Affiliation:
1. Pacific Northwest National Laboratory,Richland,WA,USA,99354
Funder
U.S. Department of Energy
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9837955/9837961/09837986.pdf?arnumber=9837986
Reference45 articles.
1. A Convex Approach to Data-driven Optimal Control via Perron-Frobenius and Koopman Operators;huang;ArXiv Preprint,2020
2. Data-driven dis-covery of Koopman eigenfunctions for control;kaiser;ar Xiv preprint,2017
3. A data-driven method for quantifying the impact of a genetic circuit on its host
4. Model-Agnostic Algorithm for Real-Time Attack Identification in Power Grid using Koopman Modes
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