Detecting Regime Transitions in Time Series Using Dynamic Mode Decomposition
Author:
Publisher
Springer Science and Business Media LLC
Subject
Mathematical Physics,Statistical and Nonlinear Physics
Link
http://link.springer.com/content/pdf/10.1007/s10955-019-02392-3.pdf
Reference54 articles.
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2. Bagheri, S.: Koopman-mode decomposition of the cylinder wake. J. Fluid Mech. 726, 596–623 (2013). https://doi.org/10.1017/jfm.2013.249
3. Bollt, E.M., Santitissadeekorn, N.: Applied and computational measurable dynamics. In: Mathematical Modeling and Computation, vol. 18. Society for Industrial and Applied Mathematics (SIAM), Philadelphia (2013). https://doi.org/10.1137/1.9781611972641
4. Brunton, S.L., Brunton, B.W., Proctor, J.L., Kaiser, E., Kutz, J.N.: Chaos as an intermittently forced linear system. Nat. Commun. 8(1), 19 (2017)
5. Budišić, M., Mohr, R., Mezić, I.: Applied Koopmanism. Chaos 22(4), 047510, 33 (2012). https://doi.org/10.1063/1.4772195
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