Flow Control: Optimization
ORAL · G17 · ID: 679568
Presentations
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Finding an optimal flow control with multi-point penalty method
ORAL
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Presenters
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Seung Whan Chung
University of Texas at Austin
Authors
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Seung Whan Chung
University of Texas at Austin
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Jonathan B Freund
University of Illinois at Urbana-Champai, University of Illinois, Urbana-Champaign
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Taming shear flows with gradient-enriched machine learning control
ORAL
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Publication: [1] Cornejo Maceda, G. Y., Li, Y., Lusseyran, F., Morzyński, M. & Noack, B. R. 2021 Stabilization of the fluidic pinball with gradient-enriched machine learning control. J. Fluid Mech. 917, A42.<br>[2] Cornejo Maceda, G. Y., Varon, E., Lusseyran, & Noack, B. R. 2022 Stabilization of a multi-frequency open cavity flow with gradient-enriched machine learning control. arXiv:2202.01686 [physics.flu-dyn].
Presenters
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Guy Y Cornejo Maceda
Harbin Institute of Technology, Shenzhen, P.R. China
Authors
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Guy Y Cornejo Maceda
Harbin Institute of Technology, Shenzhen, P.R. China
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Songqi Li
Harbin Institute of Technology, Shenzhen, P.R. China
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Yiqing Li
Harbin Institute of Technology, Shenzhen, P.R. China, School of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen 518055, China
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François Lusseyran
Laboratoire Interdisciplinaire des Sciences du Numérique, Paris-Saclay University, CNRS, 91405 Orsay, France
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Marek Morzynski
Poznan University of Technology, Poland, Department of Virtual Engineering, Poznań University of Technology, PL 60-965 Poznań, Poland
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Bernd R Noack
Harbin Institute of Technology, Shenzhen, P.R. China, School of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen 518055, China
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Smart Skin Separation Control Exemplified for a Smooth Ramp
ORAL
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Publication: [1] Cornejo Maceda, G. Y., Li, Y., Lusseyran, F., Morzynski, M. & Noack, B. R. 2021 Stabilization of the fluidic pinball with gradient-enriched machine learning control. J. Fluid Mech. 917, A42.
Presenters
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Songqi Li
Harbin Institute of Technology, Shenzhen, P.R. China
Authors
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Songqi Li
Harbin Institute of Technology, Shenzhen, P.R. China
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Guy Y Cornejo Maceda
Harbin Institute of Technology, Shenzhen, P.R. China
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Jiayang Luo
Harbin Institute of Technology, Shenzhen, P.R. China
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Nan Gao
University of New Brunswick, Fredericton, NB, E3B 5A3, CA
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Bernd R Noack
Harbin Institute of Technology, Shenzhen, P.R. China
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Neural network controllers applied to flow control
ORAL
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Publication: Design of closed-loop control strategies for fluid flows using deep neural network surrogate models
Presenters
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Tarcísio C Oliveira
UNICAMP-Univ de Campinas
Authors
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Tarcísio C Oliveira
UNICAMP-Univ de Campinas
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William R Wolf
University of Campinas, School of Mechanical Engineering, University of Campinas
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Scott T Dawson
Illinois Institute of Technology
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Reduction of noise in cold and hot supersonic jets using active flow control guided by a genetic algorithm
ORAL
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Publication: Reduction of noise in cold and hot supersonic jets using active flow control guided by a genetic algorithm [Under Review]
Presenters
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Fernando Zigunov
Florida State University, Florida State
Authors
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Fernando Zigunov
Florida State University, Florida State
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Prabu Sellappan
Florida State University
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Farrukh S Alvi
Florida State University
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