Interplay of Sensor Quantity, Placement and System Dimension in POD-Based Sparse Reconstruction of Fluid Flows

Interplay of Sensor Quantity, Placement and System Dimension in POD-Based Sparse Reconstruction of Fluid Flows

Sparse linear estimation of fluid flows using data-driven proper orthogonal decomposition (POD) basis is systematically explored in this work. Fluid flows are manifestations of nonlinear multiscale partial differential equations (PDE) dynamical systems with inherent scale separation that impact the...

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Bibliographic Details
Main Authors: Balaji Jayaraman, S M Abdullah Al Mamun, Chen Lu
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Fluids
Subjects:
sparse reconstruction
sensors
cylinder flow
singular value decomposition (SVD)
proper orthogonal decomposition (POD)
compressive sensing
Online Access:https://www.mdpi.com/2311-5521/4/2/109

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