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, Yiqing Li, Zhutao Jiang, 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, Dewei Fan, Yu Zhou, Eurika Kaiser, Ruiying Li, Jacques Boree, Fabien Harambat, Yao Liu, Jianguo Tan, Hao Li, Yi Hou, Dongdong Zhang, Luc Pastur, Nan Deng, Joel Delville, Markus Quade, Kamran Shafi, Robert K Niven, P Zhong, Robert Martinuzzi,

Genetic Programming Articles by Bernd R Noack

  1. Yao Liu and Jianguo Tan and Hao Li and Yi Hou and Dongdong Zhang and Bernd R. Noack. Simultaneous control of combustion instabilities and NOx emissions in a lean premixed flame using linear genetic programming. Combustion and Flame, 251:112716, 2023. details

  2. Guy Y. Cornejo Maceda and Yiqing Li and Francois Lusseyran and Marek Morzynski and Bernd R. Noack. Stabilization of the fluidic pinball with gradient-enriched machine learning control. Journal of Fluid Mechanics, 917:A42, 2021. details

  3. Guy Yoslan Cornejo Maceda and Bernd R. Noack and Francois Lusseyran and Marek Morzynski and Nan Deng and Luc Pastur. Artificial intelligence control applied to drag reduction of the fluidic pinball. Proceedings in Applied Mathematics and Mechanics, 19(1):e201900268, 2019. Special Issue:90th Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM). details

  4. Guy Cornejo Maceda and Bernd Noack and Francois Lusseyran and Nan Deng and Luc Pastur and Marek Morzynski. Artificial intelligence control applied to drag reduction of the fluidic pinball. Proceedings in Applied Mathematics and Mechanics, 2019. Special issue: 90th Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM). details

  5. Ruiying Li and Bernd R. Noack and Laurent Cordier and Jacques Boree. Linear genetic programming control for strongly nonlinear dynamics with frequency crosstalk. Archives of Mechanics, 70(6):505-534, 2018. details

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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 Books by Bernd R Noack

Genetic Programming conference papers by Bernd R Noack

  1. Guy Y. Cornejo Maceda and Zhutao Jiang and Francois Lusseyran and Bernd R. Noack. Fast Self-Learning of Turbulence Feedback Laws Using Gradient-Enriched Machine Learning Control. In Ting Hu and Aniko Ekart editors, Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion, pages 495-498, Melbourne, Australia, 2024. Association for Computing Machinery. details

  2. Guy Y. Cornejo Maceda and Bernd R. Noack and Francois Lusseyran and Marek Morzynski and Nan Deng and Luc Pastur. Apprentissage automatique de lois de controle d'ecoulement par intelligence artificielle. In Journee de Dynamique des Fluides du Plateau de Saclay, Orsay, France, 2019. HAL CCSD. details

  3. Dewei Fan and Yu Zhou and Bernd Noack. Artificial Intelligence Control of Turbulence. In Proceedings of the 5th Symposium on Fluid Structure-Sound Interactions and Control (FSSIC), pages 1-4, Minoa Palace - Resort, Chania, Crete island, Greece, 2019. HAL CCSD. details

  4. Guy Yoslan Cornejo Maceda and Bernd R. Noack and Francois Lusseyran and Marek Morzynski and Luc Pastur and Nan Deng. Artificial intelligence control applied to drag reduction of the fluidic pinball. In Journees du GDR Controle Des Decollements, Toulouse, France, 2018. HAL CCSD. details

  5. Guy Yoslan Cornejo Maceda and Bernd R. Noack and Francois Lusseyran and Marek Morzynski and Luc Pastur and Nan Deng. Taming the fluidic pinball with artificial intelligence control. In European Fluid Mechanics Conference, Vienne, Austria, 2018. HAL CCSD. details

  6. Dewei Fan and Yu Zhou and Bernd Noack. Artificial intelligence control of a turbulent jet. In T. C. W. Lau and R. M. Kelso editors, Proceedings of the 21st Australasian Fluid Mechanics Conference, Adelaide, Australia, 2018. HAL CCSD. details

  7. 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

  8. 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

  9. 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

  10. 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