Adaptive filtering for hidden node detection and tracking in networks

DOI10.1063/1.4990985zbMath1390.93789OpenAlexW2735717534WikidataQ44874262 ScholiaQ44874262MaRDI QIDQ4644253

Franz Hamilton, Alun L. Lloyd, Beverly Setzer, Sergio Chavez, Hien T. Tran

Publication date: 30 May 2018

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

Full work available at URL: http://www.lib.ncsu.edu/resolver/1840.20/35572

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Neural networks for/in biological studies, artificial life and related topics (92B20) Estimation and detection in stochastic control theory (93E10)

Uses Software

• EnKF
• Brain Connectivity Toolbox

Cites Work

• A mathematical framework for inferring connectivity in probabilistic neuronal networks
• A new method for the nonlinear transformation of means and covariances in filters and estimators
• NONLINEAR DYNAMICAL SYSTEM IDENTIFICATION FROM UNCERTAIN AND INDIRECT MEASUREMENTS
• Observability of complex systems
• Revealing Pairwise Coupling in Linear-Nonlinear Networks
• Exploiting History-Dependent Effects to Infer Network Connectivity
• Approaches to adaptive filtering
• Data Assimilation

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