ASTOLFI Daniele

Fonction : Chargé de Recherches

Spécialité :

automatique

Compétences :

Nonlinear systems, observers, output regulation, multi-agent, networked control systems, hybrid systems

Bureau : G318

Téléphone : 04 72 43 18 63

Biographie :

I was born in Moncalieri, Turin (Italy), in 1987. I got my BSd and MSc in Automation Engineering with honors from University of Bologna (Italy) in 2009 and 2012 respectively. Then, in 2013 I started a joint-PhD program, obtaining a PhD in Automatic Control Systems and Operational Research from University of Bologna (Italy) in 2016 and a PhD in Mathematics and Automatic Control from Ecole des Mines ParisTech (Paris, France) in 2016. From September 2016 to August 2018 I’ve been a Research Assistant (Post-doc) at the Centre de Recherche en Automatique de Nancy (CRAN) in Nancy (France). At present, I’m a CNRS researcher (CR) at LAGEP, Lyon (France).

https://sites.google.com/site/astolfidaniele/home?authuser=0 

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EMail

58 documents

  • Mattia Giaccagli, Samuele Zoboli, Daniele Astolfi, Vincent Andrieu, Giacomo Casadei. Synchronization in Networks of Nonlinear Systems: Contraction Analysis via Riemannian Metrics and Deep-Learning for Feedback Estimation. 2023. ⟨hal-03801100v2⟩
  • Daniele Astolfi. Infinite-dimensional internal models for nonlinear robust output regulation. 2023. ⟨hal-04007322⟩
  • Tanguy Simon, Mattia Giaccagli, Jean-François Trégouët, Daniele Astolfi, Vincent Andrieu, et al.. Robust Regulation of a Power Flow Controller via Nonlinear Integral Action. IEEE Transactions on Control Systems Technology, In press. ⟨hal-03920401⟩
  • Joey Reinders, Mattia Giaccagli, Bram Hunnekens, Daniele Astolfi, Tom Oomen, et al.. Repetitive control for Lur'e-type systems: application to mechanical ventilation. IEEE Transactions on Control Systems Technology, In press, ⟨10.1109/TCST.2023.3250966⟩. ⟨hal-04007192⟩
  • Mattia Giaccagli, Vincent Andrieu, Sophie Tarbouriech, Daniele Astolfi. LMI conditions for contraction, integral action, and output feedback stabilization for a class of nonlinear systems. Automatica, In press, 10 p. ⟨hal-04093784⟩
  • Daniele Astolfi, Swann Marx, Vincent Andrieu, Christophe Prieur. Global exponential set-point regulation for linear operator semigroups with input saturation. CDC 2022 - 61st IEEE Conference on Decision and Control, IEEE, Dec 2022, Cancun, Mexico. pp.7358 - 7363, ⟨10.1109/CDC51059.2022.9993082⟩. ⟨hal-04005700⟩
  • Elena Petri, Romain Postoyan, Daniele Astolfi, Dragan Nesic, Vincent Andrieu. Towards improving the estimation performance of a given nonlinear observer: a multi-observer approach. 61st IEEE Conference Decision and Control, CDC 2022, Dec 2022, Cancun, Mexico. ⟨hal-03766736⟩
  • Johan Peralez, Madiha Nadri, Daniele Astolfi. Neural Network-Based KKL observer for nonlinear discrete-time systems. 2022 IEEE 61st Conference on Decision and Control (CDC), Dec 2022, Cancun, Mexico. ⟨10.1109/CDC51059.2022.9992516⟩. ⟨hal-04005698⟩
  • Mattia Giaccagli, Vincent Andrieu, Sophie Tarbouriech, Daniele Astolfi. Infinite gain margin, contraction and optimality: an LMI-based design. European Journal of Control, 2022, 68, pp.100685. ⟨10.1016/j.ejcon.2022.100685⟩. ⟨hal-03704614⟩
  • Samuele Zoboli, Daniele Astolfi, Vincent Andrieu. Total stability and integral action for discrete-time nonlinear systems. 2022. ⟨hal-03801183⟩

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