Cluster-based feedback control of turbulent post-stall separated flows
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Publication:5231442
DOI10.1017/jfm.2019.469zbMath1421.76138arXiv1809.07220OpenAlexW2890814342WikidataQ127480207 ScholiaQ127480207MaRDI QIDQ5231442
Steven L. Brunton, Aditya G. Nair, Bernd R. Noack, Eurika Kaiser, Kunihiko Taira, Chi-An Yeh
Publication date: 27 August 2019
Published in: Journal of Fluid Mechanics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1809.07220
Flow control and optimization for incompressible viscous fluids (76D55) Control of turbulent flows (76F70)
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Uses Software
Cites Work
- Unnamed Item
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- Estimating the Number of Clusters in a Data Set Via the Gap Statistic
- Discovering governing equations from data by sparse identification of nonlinear dynamical systems
- Intelligent choice of the number of clusters in \(K\)-means clustering: an experimental study with different cluster spreads
- Machine learning control -- taming nonlinear dynamics and turbulence
- Reduced-order modelling for flow control. Papers based on the presentations at the course, Udine, Italy, September 2008
- Sparsity enabled cluster reduced-order models for control
- A parallel implementation of the simplex function minimization routine
- Nonlinear optimal suppression of vortex shedding from a circular cylinder
- Feedback control of cavity flow oscillations using simple linear models
- Feedback control of three-dimensional optimal disturbances using reduced-order models
- A physics-based approach to flow control using system identification
- A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code
- Cluster-based reduced-order modelling of a mixing layer
- Closed-loop control of an open cavity flow using reduced-order models
- An eddy-viscosity subgrid-scale model for turbulent shear flow: Algebraic theory and applications
- Linear feedback stabilization of laminar vortex shedding based on a point vortex model
- Input–output analysis, model reduction and control of the flat-plate boundary layer
- A generalized mean-field model of the natural and high-frequency actuated flow around a high-lift configuration
- Markov Chains
- Proposed Inflow/Outflow Boundary Condition for Direct Computation of Aerodynamic Sound
- Real‐Time Optimization by Extremum‐Seeking Control
- A hierarchy of low-dimensional models for the transient and post-transient cylinder wake
- Sparse reduced-order modelling: sensor-based dynamics to full-state estimation
- Phase-response analysis of synchronization for periodic flows
- Artificial neural networks trained through deep reinforcement learning discover control strategies for active flow control
- Least squares quantization in PCM
- Markov-modulated traffic with nearly complete decomposability characteristics and associated fluid queueing models
- Resolvent-analysis-based design of airfoil separation control
- Riccati-based Boundary Feedback Stabilization of Incompressible Navier--Stokes Flows
- Control and system identification of a separated flow
- A Simplex Method for Function Minimization
- Data Mining and Knowledge Discovery Handbook
- Networks
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