Koopman Operator Inspired Nonlinear System Identification
Author:
Affiliation:
1. Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN 37996 USA.
Funder
Division of Civil, Mechanical and Manufacturing Innovation
Publisher
Society for Industrial & Applied Mathematics (SIAM)
Subject
Modeling and Simulation,Analysis
Reference59 articles.
1. Dynamic Mode Decomposition
2. Data-Driven Science and Engineering
3. Dynamic mode decomposition of numerical and experimental data
4. Spectral analysis of nonlinear flows
5. Dynamic Mode Decomposition with Control
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1. Enhancing predictive capabilities in data-driven dynamical modeling with automatic differentiation: Koopman and neural ODE approaches;Chaos: An Interdisciplinary Journal of Nonlinear Science;2024-04-01
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