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20152020
most citedDe-Biasing the Dynamic Mode Decomposition for Applied Koopman Spectral Analysis

324 citations

Showing physics.flu-dynShow all

5 papers · 1 filter

physics.flu-dyn2020★ 28 cited

Spectral Analysis Modal Methods (SAMMs) using Non-Time-Resolved PIV

Yang Zhang, Louis N. Cattafesta, Lawrence Ukeiley

We present spectral analysis modal methods (SAMMs) to perform POD in the frequency domain using non-time-resolved Particle Image Velocity (PIV) data combined with unsteady surface…

physics.flu-dyn2019★ 10 cited

Unscented Kalman filter (UKF) based nonlinear parameter estimation for a turbulent boundary layer: a data assimilation framework

Zhao Pan, Yang Zhang, Jonas P. R. Gustavsson +2

A turbulent boundary layer is an essential flow case of fundamental and applied fluid mechanics. However, accurate measurements of turbulent boundary layer parameters (e.g., fricti…

physics.flu-dyn2018★ 28 cited

Active attenuation of a trailing vortex inspired by a parabolized stability analysis

Adam M. Edstrand, Yiyang Sun, Peter J. Schmid +2

Designing effective control for complex three-dimensional flow fields proves to be non-trivial. Oftentimes, intuitive control strategies lead to suboptimal control. To navigate the…

physics.flu-dyn2017★ 65 cited

Network-theoretic approach to sparsified discrete vortex dynamics

Aditya G. Nair, Kunihiko Taira

We examine discrete vortex dynamics in two-dimensional flow through a network-theoretic approach. The interaction of the vortices is represented with a graph, which allows the use…

physics.flu-dyn2015★ 324 cited

De-Biasing the Dynamic Mode Decomposition for Applied Koopman Spectral Analysis

Maziar S. Hemati, Clarence W. Rowley, Eric A. Deem +1

The Dynamic Mode Decomposition (DMD)---a popular method for performing data-driven Koopman spectral analysis---has gained increased adoption as a technique for extracting dynamical…