Genetic Programming Bibliography entries for Bernd R Noack

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GP coauthors/coeditors: C Chovet, L Keirsbulck, M Lippert, J-M Foucaut, Guy Yoslan Cornejo Maceda, Francois Lusseyran, Marek Morzynski, Antoine Debien, Kai A F F von Krbek, Nicolas Mazellier, Thomas Duriez, Laurent Cordier, Markus W Abel, Azeddine Kourta, Vladimir Parezanovic, Marc Segond, Jean-Paul Bonnet, Nicolas Gautier, Jean-Luc Aider, Cedric Raibaudo, Christophe Cuvier, Michel Stanislas, Steven L Brunton, Eurika Kaiser, Ruiying Li, Jacques Boree, Fabien Harambat, Joel Delville, Markus Quade, Kamran Shafi, Robert K Niven, P Zhong, R J Martinuzzi,

Genetic Programming Articles by Bernd R Noack

  1. Cedric Raibaudo and P. Zhong and R. J. Martinuzzi and B. R. Noack. Open and closed-loop control of a triangular bluff body using rotating cylinders. IFAC-PapersOnLine, 50(1):12291-12295, 2017. 20th IFAC World Congress. details

  2. Ruiying Li and Bernd R. Noack and Laurent Cordier and Jacques Boree and Fabien Harambat. Drag reduction of a car model by linear genetic programming control. Experiments in Fluids, 58(8):103, 2017. details

  3. C. Chovet and L. Keirsbulck and B. R. Noack and M. Lippert and J-M. Foucaut. Machine learning control for experimental shear flows targeting the reduction of a recirculation bubble. IFAC-PapersOnLine, 50(1):12307-12311, 2017. 20th IFAC World Congress. details

  4. Markus Quade and Markus Abel and Kamran Shafi and Robert K. Niven and Bernd R. Noack. Prediction of dynamical systems by symbolic regression. Physical Review E, 94:012214, 2016. details

  5. Antoine Debien and Kai A. F. F. von Krbek and Nicolas Mazellier and Thomas Duriez and Laurent Cordier and Bernd R. Noack and Markus W. Abel and Azeddine Kourta. Closed-loop separation control over a sharp edge ramp using genetic programming. Experiments in Fluids, 57(3) 2016. details

  6. N. Gautier and J.-L. Aider and T. Duriez and B. R. Noack and M. Segond and M. Abel. Closed-loop separation control using machine learning. Journal of Fluid Mechanics, 770:442-457, 2015. details

Genetic Programming conference papers by Bernd R Noack

  1. Guy Yoslan Cornejo Maceda and Francois Lusseyran and Bernd R. Noack and Marek Morzynski. Optimizing MIMO control for fluidic pinball using machine learning. In 89th GAMM Annual Meeting, Munich, Germany, 2018. details

  2. Ruiying Li and Bernd R. Noack and Laurent Cordier and Jacques Boree and Fabien Harambat. Machine learning control for drag reduction of a car model in experiment. In Dimitri Peaucelle editor, 20th IFAC World Congress, page Paper ThP23.1, Toulouse, France, 2017. details

  3. Ruying Li and Bernd R. Noack and Laurent Cordier and Jacques Boree and Fabien Harambat. Machine learning control of the turbulent wake past 3D bluff body. In 3AF International Conference on Applied Aerodynamics, AAAF, Ecole Centrale de Lyon, France, 2017. details

  4. Eurika Kaiser and Ruiying Li and Bernd R. Noack. On the control landscape topology. In Dimitri Peaucelle editor, 20th IFAC World Congress, page Paper ThP23.4, Toulouse, France, 2017. details

Genetic Programming other entries for Bernd R Noack

  1. Ruiying Li and Bernd R. Noack and Laurent Cordier and Jacques Boree and Fabien Harambat and Eurika Kaiser and Thomas Duriez. Drag reduction of a car model by linear genetic programming control. 2016. Comment: 39 pages, 23 figures. details

  2. Thomas Duriez and Vladimir Parezanovic and Kai von Krbek and Jean-Paul Bonnet and Laurent Cordier and Bernd R. Noack and Marc Segond and Markus Abel and Nicolas Gautier and Jean-Luc Aider and Cedric Raibaudo and Christophe Cuvier and Michel Stanislas and Antoine Debien and Nicolas Mazellier and Azeddine Kourta and Steven L. Brunton. Feedback Control of Turbulent Shear Flows by Genetic Programming. 2015. Comment: 49 pages, many figures, submitted to Phys Rev E. details

  3. Vladimir Parezanovic and Thomas Duriez and Laurent Cordier and Bernd R. Noack and Joel Delville and Jean-Paul Bonnet and Marc Segond and Markus Abel and Steven L. Brunton. Closed-loop control of an experimental mixing layer using machine learning control. 2014. details

  4. Thomas Duriez and Vladimir Parezanovic and Bernd R. Noack and Laurent Cordier and Marc Segond and Markus Abel. Attractor Control Using Machine Learning. 2013. details