Combining dynamic mode decomposition with ensemble Kalman filtering for tracking and forecasting

DOI10.1016/j.physd.2023.133741arXiv2301.05504OpenAlexW4364377439MaRDI QIDQ6098248

David J. B. Lloyd, Naratip Santitissadeekorn, Stephen A. Falconer

Publication date: 13 June 2023

Published in: Physica D (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2301.05504

zbMATH Keywords

dynamical systemsdata assimilationensemble Kalman filterdynamic mode decompositiondata-driven modelling

Mathematics Subject Classification ID

Statistics (62-XX) Systems theory; control (93-XX)

Related Items (1)

Auxiliary functions as Koopman observables: data-driven analysis of dynamical systems via polynomial optimization

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