A unifying view of synchronization for data assimilation in complex nonlinear networks

DOI10.1063/1.5001816zbMath1390.92055OpenAlexW2760421111WikidataQ47230937 ScholiaQ47230937MaRDI QIDQ4563882

Sasha Shirman, Nirag Kadakia, Henry D. I. Abarbanel, Daniel Margoliash, Daniel Rey, Eve Armstrong, Daniel Breen

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/10.1063/1.5001816

zbMATH Keywords

connectivitycomplex nonlinear networks

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Systems biology, networks (92C42)

Related Items (5)

Comment on “A unifying view of synchronization for data assimilation in complex nonlinear networks” [Chaos 27(12), 126802 (2017)] ⋮ Response to “Comment on ‘A unifying view of synchronization for data assimilation in complex nonlinear networks’” [Chaos 28, 028101 (2018)] ⋮ Data assimilation with model error: analytical and computational study for sabra shell model ⋮ Predicting the behavior of sparsely-sampled systems across neurobiology and epidemiology ⋮ Data assimilation methods for neuronal state and parameter estimation

Uses Software

• EnKF
• Ipopt

Cites Work

• Predicting the future. Completing models of observed complex systems
• On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming
• The ensemble Kalman filter for combined state and parameter estimation
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