45 citations · 59 across the 10 of their papers we have counts for
4 papers · 1 filter
Observer-based neural networks for flow estimation and control
Tarcísio C. Déda, William R. Wolf, Scott T. M. Dawson +1
Neural network observers (NNOs) are proposed for real-time estimation of fluid flows, addressing a key challenge in flow control: obtaining real-time flow states from a limited set…
Operator theoretic causality analysis of fluid flows using linearized dynamics
Ankit Srivastava, Victor Jimenez-Fernandez, Louis Cattafesta +1
This paper presents an operator-theoretic framework, Linear Operator Causality Analysis (LOCA), for analyzing causality in linearized dynamical systems, focusing here on fluid flow…
Sparsity-promoting methods for isolating dominant linear amplification mechanisms in wall-bounded flows
Scott T. M. Dawson, Jaime Prado Zayas, Barbara Lopez-Doriga
This work proposes a method to identify and isolate the physical mechanisms that are responsible for linear energy amplification in fluid flows. This is achieved by applying a spar…
Transient growth and nonlinear breakdown of wavelet-based resolvent modes in turbulent channel flow
Eric Ballouz, Scott T. M. Dawson, H. Jane Bae
We study the effectiveness of the time-localised principal resolvent forcing mode at actuating the near wall cycle of turbulence. The mode is restricted to a wavelet pulse and comp…