Jean AURIOL
Chargé de Recherches CNRS
12
Documents
Identifiants chercheurs
- jean-auriol
- 0000-0002-9203-8182
Présentation
**Jean AURIOL** received his Master degree in civil engineering in 2015 (major: applied maths) in MINES ParisTech, part of PSL Research University and in 2018 his Ph.D. degree in control theory and applied mathematics from the same university (Centre Automatique et Systèmes). His Ph.D. thesis, entitled Robust design of backstepping controllers for systems of linear hyperbolic PDEs, has been nominated for the best thesis award given by the GDR MACS and the Section Automatique du Club EEA in France. From 2018 to 2019, he was a Posdoctoral Researcher at the Department of Petroleum Engineering, University of Calgary, AB, Canada, where he was working on the implementation of backstepping control laws for the attenuation of mechanical vibrations in drilling systems. From December 2019, he is a **Researcher** (Chargé de Recherches) at **CNRS** (French National Center for Scientific Research), Université Paris-Saclay, Centrale Supelec, Laboratoire des Signaux et Systèmes (L2S), Gif-sur-Yvette, France. He obtained his **Habilitation à Diriger les Recherches** from University Paris-Saclay in 2024.
His research interests include robust control of hyperbolic systems, neutral systems, networks and interconnected systems, drilling devices, traffic networks, neural fields.
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Stabilizing output-feedback control law for hyperbolic systems using a Fredholm transformationIEEE Transactions on Automatic Control, 2022, pp.1 - 16. ⟨10.1109/tac.2022.3184405⟩
Article dans une revue
hal-03702316v1
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Comparing advanced control strategies to eliminate stick-slip oscillations in drillstringsIEEE Access, 2022, 10, pp.10949-10969. ⟨10.1109/ACCESS.2022.3144644⟩
Article dans une revue
hal-03530284v1
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Sensing and computational frameworks for improving drill-string dynamics estimationMechanical Systems and Signal Processing, 2021, ⟨10.1016/j.ymssp.2021.107836⟩
Article dans une revue
hal-03167464v1
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Output-feedback control of an underactuated network of interconnected hyperbolic PDE-ODE systemsSystems and Control Letters, 2021, 154, ⟨10.1016/j.sysconle.2021.104984⟩
Article dans une revue
hal-03269701v1
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Estimating Drill String Friction Parameters: Comparing Performance of Model-Based Estimators to a Data-Driven Neural Network2021
Pré-publication, Document de travail
hal-03250640v1
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