Artificial Intelligence Control of Turbulence

Created by W.Langdon from gp-bibliography.bib Revision:1.7686

@InProceedings{Fan:2019:FSSIC,

• title = "Artificial Intelligence Control of Turbulence",
• author = "Dewei Fan and Yu Zhou and Bernd Noack",
• publisher = "HAL CCSD",
• booktitle = "Proceedings of the 5th Symposium on Fluid Structure-Sound Interactions and Control (FSSIC)",
• year = "2019",
• pages = "1--4",
• address = "Minoa Palace - Resort, Chania, Crete island, Greece",
• month = aug # "~27",
• keywords = "genetic algorithms, genetic programming, jet, flow control, artificial intelligence, engineering sciences, physics, mechanics, fluids mechanics",
• URL = "https://hal.archives-ouvertes.fr/hal-02398697",
• abstract = "An artificial intelligence (AI) control system is developed to manipulate a turbulent jet targeting maximal mixing. The control system consists of sensors (two hot-wires), genetic programming for evolving the control law and actuators (6 unsteady radial minijets). The mixing performance is quantified by the jet centerline mean velocity. AI control discovers a hitherto unexplored combination of asymmetric flapping and helical forcing. Such a combination of several actuation mechanisms constitutes a large challenge for conventional methods of parametric optimisation. AI control vastly outperforms the optimised periodic axisymmetric, helical or flapping forcing produced from conventional open-or closed-loop control. Intriguingly, the learning process of AI control discovers all these forcings in the order of increased performance. Our study is the first AI control experiment which discovers a non-trivial spatially distributed actuation optimising a turbulent flow. The results show the great potential of AI in conquering the vast opportunity space of control laws for many actuators, many sensors and broadband turbulence.",
• notes = "slides: http://smartwing.org/FSSIC2019/presentations_keynotes_plenary/fssic2019-yz-web.pdf",
• annote = "Shenzhen Graduate School; Harbin Institute of Technology; The Hong Kong Polytechnic University [Hong Kong] (POLYU); Laboratoire d'Informatique pour la Mecanique et les Sciences de l'Ingenieur (LIMSI) ; Universite Paris Saclay (COmUE)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Universite - UFR d'Ingenierie (UFR 919) ; Sorbonne Universite (SU)-Sorbonne Universite (SU)-Universite Paris-Saclay-Universite Paris-Sud - Paris 11 (UP11)",
• bibsource = "OAI-PMH server at api.archives-ouvertes.fr",
• contributor = "Laboratoire d'Informatique pour la Mecanique et les Sciences de l'Ingenieur",
• description = "International audience",
• identifier = "hal-02398697",
• language = "en",
• oai = "oai:HAL:hal-02398697v1",
• type = "info:eu-repo/semantics/conferenceObject",

}

Genetic Programming entries for Dewei Fan Yu Zhou Bernd R Noack

Citations