Spécialité :


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). 



52 documents

  • 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⟩
  • Mattia Giaccagli, Samuele Zoboli, Daniele Astolfi, Vincent Andrieu, Giacomo Casadei. Synchronization in Networks of Nonlinear Systems: Contraction Metric Analysis and Deep-Learning for Feedback Estimation. 2022. ⟨hal-03801100⟩
  • Samuele Zoboli, Daniele Astolfi, Vincent Andrieu. Total stability and integral action for discrete-time nonlinear systems. 2022. ⟨hal-03801183⟩
  • Sophie Tarbouriech, Angelo Alessandri, Daniele Astolfi, Luca Zaccarian. LMI-based Stubborn and Dead-zone Redesign in Linear Dynamic Output Feedback. IEEE Control Systems Letters, 2022, 7, pp.187-192. ⟨10.1109/LCSYS.2022.3186842⟩. ⟨hal-03726559⟩
  • Daniele Astolfi, Laurent Praly, Lorenzo Marconi. Harmonic Internal Models for Structurally Robust Periodic Output Regulation. Systems and Control Letters, Elsevier, In press. ⟨hal-03535831⟩
  • Mattia Giaccagli, Vincent Andrieu, Sophie Tarbouriech, Daniele Astolfi. Infinite gain margin, contraction and optimality: an LMI-based design. European Journal of Control, In press, ⟨10.1016/j.ejcon.2022.100685⟩. ⟨hal-03704614⟩
  • Samuele Zoboli, Vincent Andrieu, Daniele Astolfi, Giacomo Casadei, Jilles S Dibangoye, et al.. Reinforcement Learning Policies With Local LQR Guarantees For Nonlinear Discrete-Time Systems. CDC, Dec 2021, Texas, United States. ⟨10.1109/CDC45484.2021.9683721⟩. ⟨hal-03353584⟩
  • Elena Petri, Romain Postoyan, Daniele Astolfi, Dragan Nesic, Maurice P. M. H. Heemels. Event-triggered observer design for linear systems. 60th IEEE Conference on Decision and Control, CDC 2021, Dec 2021, Austin, United States. ⟨hal-03436854⟩
  • Tanguy Simon, Mattia Giaccagli, Jean-François Trégouët, Daniele Astolfi, Vincent Andrieu, et al.. Robust Output Set-Point Tracking for a Power Flow Controller via Forwarding Design. CDC, Dec 2021, Austin, United States. ⟨10.1109/CDC45484.2021.9682901⟩. ⟨hal-03375498⟩
  • Mattia Giaccagli, Vincent Andrieu, Daniele Astolfi, Giacomo Casadei. Sufficient metric conditions for synchronization of leader-connected homogeneous nonlinear multi-agent systems. MICNON, Sep 2021, Tokyo (virtual), Japan. ⟨10.1016/j.ifacol.2021.10.389⟩. ⟨hal-03351594⟩