Data-driven robust state estimation for reduced-order models of 2D Boussinesq equations with parametric uncertainties

DOI10.1016/j.compfluid.2020.104773OpenAlexW3093873811MaRDI QIDQ2028152

Jeff Borggaard, Mouhacine Benosman

Publication date: 31 May 2021

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

Full work available at URL: https://doi.org/10.1016/j.compfluid.2020.104773

zbMATH Keywords

PODrobustness2D Boussinesq equationsreduced-order modelsdata-driven learningextremum-seeking applicationthermo-fluid flow state estimationuncertain Reynolds number

Mathematics Subject Classification ID

Fluid mechanics (76-XX)

Cites Work

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