Articles with public access mandates - Bernd R. NoackLearn more
Not available anywhere: 32
Feedback control applied to the bluff body wake
L Henning, M Pastoor, R King, BR Noack, G Tadmor
Active Flow Control: Papers contributed to the Conference “Active Flow …, 2007
Mandates: German Research Foundation
Deep reinforcement learning-based active flow control of vortex-induced vibration of a square cylinder
W Chen, Q Wang, L Yan, G Hu, BR Noack
Physics of Fluids 35 (5), 2023
Mandates: National Natural Science Foundation of China
Optimization and sensitivity analysis of active drag reduction of a square-back Ahmed body using machine learning control
D Fan, B Zhang, Y Zhou, BR Noack
Physics of Fluids 32 (12), 2020
Mandates: National Natural Science Foundation of China, Research Grants Council, Hong Kong
Continuous mode interpolation for control-oriented models of fluid flow
M Morzyński, W Stankiewicz, BR Noack, R King, F Thiele, G Tadmor
Active Flow Control: Papers contributed to the Conference “Active Flow …, 2007
Mandates: German Research Foundation
Closed-loop turbulence control-from human to machine learning (and retour)
BR Noack
Fluid-Structure-Sound Interactions and Control: Proceedings of the 4th …, 2019
Mandates: Agence Nationale de la Recherche
Modal energy flow analysis of a highly modulated wake behind a wall-mounted pyramid
Z Hosseini, RJ Martinuzzi, BR Noack
Journal of Fluid Mechanics 798, 717-750, 2016
Mandates: Natural Sciences and Engineering Research Council of Canada
Extensions of extremum-seeking control to improve the aerodynamic performance of axial turbomachines
O Wiederhold, R King, B Noack, L Neuhaus, W Neise, L Enghardt, ...
39th AIAA fluid dynamics conference, 4175, 2009
Mandates: German Research Foundation
Robust nonlinear control versus linear model predictive control of a bluff body wake
K Aleksic, M Luchtenburg, R King, B Noack, J Pfeifer
5th Flow Control Conference, 4833, 2010
Mandates: German Research Foundation
Stabilizing the square cylinder wake using deep reinforcement learning for different jet locations
L Yan, Y Li, G Hu, W Chen, W Zhong, BR Noack
Physics of Fluids 35 (11), 2023
Mandates: National Natural Science Foundation of China
Cluster-based control of a separating flow over a smoothly contoured ramp
E Kaiser, BR Noack, A Spohn, LN Cattafesta, M Morzyński
Theoretical and Computational Fluid Dynamics 31, 579-593, 2017
Mandates: US National Science Foundation, US Department of Defense, German Research …
Turbulence control based on reduced-order models and nonlinear control design
DM Luchtenburg, K Aleksić, M Schlegel, BR Noack, R King, G Tadmor, ...
Active Flow Control II: Papers Contributed to the Conference” Active Flow …, 2010
Mandates: German Research Foundation
Combination of image postprocessing tools to identify coherent structures of premixed flames
A Lacarelle, DM Luchtenburg, MR Bothien, BR Noack, CO Paschereit
AIAA journal 48 (8), 1708-1720, 2010
Mandates: German Research Foundation
Efficient thrust enhancement by modified pitching motion
Z Muhammad, MM Alam, BR Noack
Journal of Fluid Mechanics 933, A13, 2022
Mandates: National Natural Science Foundation of China, Research Grants Council, Hong Kong
Genetic-algorithm-based artificial intelligence control of a turbulent boundary layer
J Yu, D Fan, BR Noack, Y Zhou
Acta Mechanica Sinica, 1-9, 2021
Mandates: National Natural Science Foundation of China, Research Grants Council, Hong Kong
Cluster-based control for net drag reduction of the fluidic pinball
X Wang, N Deng, GY Cornejo Maceda, BR Noack
Physics of Fluids 35 (2), 2023
Mandates: National Natural Science Foundation of China
Transfer of internal energy fluctuation in compressible isotropic turbulence with vibrational non-equilibrium
Q Zheng, J Wang, MM Alam, BR Noack, H Li, S Chen
Journal of Fluid Mechanics 919, A26, 2021
Mandates: National Natural Science Foundation of China
Symmetry-Informed Reinforcement Learning and its Application to Low-Level Attitude Control of Quadrotors
J Huang, W Zeng, H Xiong, BR Noack, G Hu, S Liu, Y Xu, H Cao
IEEE Transactions on Artificial Intelligence 5 (3), 1147-1161, 2023
Mandates: National Natural Science Foundation of China
Adaptive control in an axial turbofan: model-free implementation with short response time
O Wiederhold, R King, BR Noack, L Neuhaus, W Neise, L Enghardt, ...
AIAA journal 49 (7), 1429-1436, 2011
Mandates: German Research Foundation
The need for prediction in feedback control of a mixing layer
T Shaqarin, BR Noack, M Morzyński
Fluid Dynamics Research 50 (6), 065514, 2018
Mandates: German Research Foundation
Fast triple-parameter extremum seeking exemplified for jet control
DW Fan, Y Zhou, BR Noack
Experiments in Fluids 61 (7), 152, 2020
Mandates: National Natural Science Foundation of China, Agence Nationale de la Recherche
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