Fonction : Chargé de Recherches

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). 


53 documents

  • Gaëtan Beneux, Daniele Astolfi, Pierre Riedinger, Jamal Daafouz, Louis Grimaud. Integral action for uncertain switched affine systems with application to DC/DC converters. 16th European Control Conference, ECC'18, Jun 2018, Limassol, Cyprus. ⟨hal-01831488⟩
  • Daniele Astolfi, Romain Postoyan, Dragan Nešić. Uniting local and global observers for the state estimation of nonlinear continuous-time systems. 56th IEEE Conference on Decision and Control, CDC 2017, Dec 2017, Melbourne, Australia. ⟨hal-01666026⟩
  • Daniele Astolfi, Angelo Alessandri, Luca Zaccarian. Stubborn ISS redesign for nonlinear high-gain observers. 20th IFAC World Congress, IFAC 2017, Jul 2017, Toulouse, France. ⟨hal-01568347⟩
  • Daniele Astolfi, Laurent Praly. Integral Action in Output Feedback for Multi-Input Multi-Output Nonlinear Systems. IEEE Transactions on Automatic Control, 2017, 62 (4), ⟨10.1109/TAC.2016.2599784⟩. ⟨hal-01544527⟩
  • Lei Wang, Daniele Astolfi, Lorenzo Marconi, Hongye Su. High-gain observers with limited gain power for systems with observability canonical form. Automatica, 2017, 75, pp.16-23. ⟨10.1016/j.automatica.2016.09.006⟩. ⟨hal-02096457⟩
  • Michelangelo Bin, Daniele Astolfi, Lorenzo Marconi. Robust internal model design by nonlinear regression via low-power high-gain observers. 2016 IEEE 55th Conference on Decision and Control (CDC), Dec 2016, Las Vegas, United States. pp.4740-4745, ⟨10.1109/CDC.2016.7798992⟩. ⟨hal-02304179⟩
  • Daniele Astolfi, Lorenzo Marconi, Andrew Teel. Low-power peaking-free high-gain observers for nonlinear systems. European Control Conference 2016, Jun 2016, Aalborg, Denmark. ⟨10.1109/ECC.2016.7810489⟩. ⟨hal-03684703⟩
  • Daniele Astolfi, Laurent Praly, Lorenzo Marconi. Approximate Regulation for Nonlinear Systems in Presence of Periodic Disturbances. 2015 IEEE 54th Annual Conference on Decision and Control (CDC 2015), Dec 2015, Osaka, Japan. pp.7665-7670. ⟨hal-01250479⟩
  • Daniele Astolfi, Laurent Praly, Lorenzo Marconi. Approximate regulation for nonlinear systems in presence of periodic disturbances. 2015 54th IEEE Conference on Decision and Control (CDC), Dec 2015, Osaka, France. pp.7665-7670, ⟨10.1109/CDC.2015.7403431⟩. ⟨hal-02297781⟩
  • Daniele Astolfi, Lorenzo Marconi. A High-Gain Nonlinear Observer With Limited Gain Power. IEEE Transactions on Automatic Control, 2015, 60 (11), pp.3059-3064. ⟨10.1109/TAC.2015.2408554⟩. ⟨hal-02096448⟩