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UID:0-367@lisn.upsaclay.fr
DTSTART;TZID=Europe/Paris:20260608T000000
DTEND;TZID=Europe/Paris:20260610T000000
DTSTAMP:20260220T171413Z
URL:https://www.lisn.upsaclay.fr/evenements/euromech-colloquium-665/
SUMMARY:Euromech Colloquium 665
DESCRIPTION:Objectives\nData-driven methods are transforming active flow co
 ntrol\, enabled by advances in experimental hardware\, computational power
 \, and modern sensing and actuation strategies. Approaches such as reduced
 -order modelling\, enhanced with data-driven closures and neural networks\
 , offer accurate predictions while retaining physical insight. At the same
  time\, reinforcement learning has emerged as a powerful framework for con
 trol design\, learning effective policies directly through interaction wit
 h complex fluid systems without relying on prior models.\nThe aim of the c
 olloquium is to highlight recent breakthroughs in data-driven flow control
  and stimulate discussion on the most promising methodologies. It will bri
 ng together leading European and international experts to exchange ideas\,
  share perspectives\, and foster new collaborations.\nTopics\nThe workshop
  will emphasise the theoretical aspects and practical applications of mode
 l-based and model-free control\, following to main topics:\nModeling and P
 rediction of Fluid Flows\nModel-based and Model-free Strategies for Flow C
 ontrol\nContributions from numerical\, theoretical\, and experimental pers
 pectives are welcome in areas which include\, but are not limited to:\nDat
 a-driven model learning and operator inference\nReduced-order modeling via
  modal and projection-based methods\, Mori–Zwanzig formalism\, Koopman t
 heory\, Carleman linearization...\nControl and state estimation under part
 ial and imperfect observability\nOptimal\, adaptive\, and learning-based c
 ontrol methodologies\nModel Predictive Control (MPC)\nReinforcement Learni
 ng methods for flow control\nObservability\, controllability\, and informa
 tion-theoretic foundations of control\nRobust\, safe\, and resilient contr
 ol systems\nComputational autonomy and online inference for embedded contr
 ol systems\netc. ...\nImportant dates\nAbstract submission\n01/01/2026: Op
 ening of abstract submission\n08/03/2026: Deadline of abstract submission\
 n31/03/2026: Authors notification of acceptance\nRegistration\n30/04/2026:
  End of early-bird registration\n31/05/2026: Registration deadline\nSpecia
 l Issue\nTo recognize outstanding contributions\, a special issue associat
 ed with the colloquium is planned on European Journal of Mechanics / B Flu
 ids (EJMB)\nFor any questions regarding the scope or process of the colloq
 uium\, please feel free to contact us at mail to: euromech665@lisn.fr\nCom
 mittee\nOrganisers\nOnofrio Semeraro\, CNRS\, Laboratoire interdisciplinai
 re des sciences du numérique (LISN)\, Université Paris-Saclay\, France\n
 Stefano Discetti\, Experimental Aerodynamics and Propulsion Lab\, Universi
 dad Carlos III de Madrid\, Spain\nLionel Mathelin\, CNRS\, Laboratoire int
 erdisciplinaire des sciences du numérique (LISN)\, Université Paris-Sacl
 ay\, France\nMiguel A. Mendez\, von Karman Institute for Fluid Dynamics\, 
 École Polytechnique de Bruxelles\, Université Libre de Bruxelles\, Belgi
 um\nScientific and local committee\nMichele Alessandro Bucci\, SafranTech\
 , France\nIraj Mortazavi\, CNAM\, France\nGeorgios Rigas\, Imperial Colleg
 e\, UK\nTaraneh Sayadi\, CNAM\, France\nInfos sur le Site d'EUROMECH
CATEGORIES:Colloque,Mécanique
LOCATION:France
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