State estimation using model order reduction for unstable systems

DOI10.1016/j.compfluid.2010.11.033zbMath1433.76128OpenAlexW2102028159MaRDI QIDQ536696

A. S. Lawless, C. Boess, Nancy K. Nichols, Angelika Bunse-Gerstner

Publication date: 19 May 2011

Published in: Computers and Fluids (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.compfluid.2010.11.033

zbMATH Keywords

state estimationvariational data assimilationbalanced truncationGauss-Newton methodsunstable models

Mathematics Subject Classification ID

Basic methods in fluid mechanics (76M99)

Related Items (4)

Time-limited balanced truncation for data assimilation problems ⋮ Balanced generalized singular perturbation method for unstable linear time invariant continuous systems ⋮ Numerical linear algebra in data assimilation ⋮ Model reduction of controlled Fokker-Planck and Liouville-von Neumann equations

Cites Work

• Approximate iterative methods for variational data assimilation
• Modeling of transitional channel flow using balanced proper orthogonal decomposition
• MODEL REDUCTION FOR FLUIDS, USING BALANCED PROPER ORTHOGONAL DECOMPOSITION
• Approximate Gauss–Newton methods for optimal state estimation using reduced‐order models
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