Data-driven identification of dynamical models using adaptive parameter sets
Author:
Affiliation:
1. Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, Tennessee 37996, USA
Funder
National Science Foundation
Publisher
AIP Publishing
Subject
Applied Mathematics,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics
Link
https://aip.scitation.org/doi/am-pdf/10.1063/5.0077447
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5. Data-Driven Science and Engineering
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