Mathematical foundations of hybrid data assimilation from a synchronization perspective

DOI10.1063/1.5001819zbMath1390.86047OpenAlexW2756202393WikidataQ47230956 ScholiaQ47230956MaRDI QIDQ4563884

Stephen G. Penny

Publication date: 4 June 2018

Published in: Chaos: An Interdisciplinary Journal of Nonlinear Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1063/1.5001819

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Geostatistics (86A32) Dynamical systems in control (37N35)

Related Items (1)

“FORCE” learning in recurrent neural networks as data assimilation

Cites Work

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• Synchronization in chaotic systems
• Data assimilation as a nonlinear dynamical systems problem: Stability and convergence of the prediction-assimilation system
• Degenerate Kalman Filter Error Covariances and Their Convergence onto the Unstable Subspace
• On the exponential solution of differential equations for a linear operator

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