Leveraging reduced-order models for state estimation using deep learning

Linearly Recurrent Autoencoder Networks for Learning Dynamics

(2019) Samuel E. Otto et al.   SIAM JOURNAL ON APPLIED DYNAMICAL SYSTEMS

Machine-Learning-Based Detection of Aerodynamic Disturbances Using Surface Pressure Measurements

(2019) Wei Hou et al.   AIAA JOURNAL

Machine Learning for Fluid Mechanics

(2019) Steven L. Brunton et al.   Annual Review of Fluid Mechanics

Robust flow reconstruction from limited measurements via sparse representation

(2019) Jared L. Callaham et al.   Physical Review Fluids

On combining linear stochastic estimation and proper orthogonal decomposition for flow reconstruction

(2018) Bérengère Podvin et al.   EXPERIMENTS IN FLUIDS

Data-Driven Sparse Sensor Placement for Reconstruction: Demonstrating the Benefits of Exploiting Known Patterns

(2018) Krithika Manohar et al.   IEEE CONTROL SYSTEMS MAGAZINE

Sparse reduced-order modelling: sensor-based dynamics to full-state estimation

(2018) Jean-Christophe Loiseau et al.   JOURNAL OF FLUID MECHANICS

Data-assimilated low-order vortex modeling of separated flows

(2018) Darwin Darakananda et al.   Physical Review Fluids

Greedy Sensor Placement With Cost Constraints

(2018) Emily Clark et al.   IEEE SENSORS JOURNAL

Assessment of probability density function based on POD reduced-order model for ensemble-based data assimilation

(2015) Ryota Kikuchi et al.   FLUID DYNAMICS RESEARCH

Integration of non-time-resolved PIV and time-resolved velocity point sensors for dynamic estimation of velocity fields

(2013) Jonathan H. Tu et al.   EXPERIMENTS IN FLUIDS

Compressive sensing based machine learning strategy for characterizing the flow around a cylinder with limited pressure measurements

(2013) Ido Bright et al.   PHYSICS OF FLUIDS

Nonlinear model order reduction based on local reduced-order bases

(2012) David Amsallem et al.   INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING

Dynamic mode decomposition of numerical and experimental data

(2010) PETER J. SCHMID   JOURNAL OF FLUID MECHANICS

A fast immersed boundary method using a nullspace approach and multi-domain far-field boundary conditions

(2007) Tim Colonius et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING