Reinforcement Learning Policies With Local LQR Guarantees For Nonlinear Discrete-Time Systems. - Samuele Zoboli; Vincent Andrieu; Daniele Astolfi; Giacomo Casadei; Jilles Steeve Dibangoye; Madiha Nadri (CDC, 2021)

Total stability and integral action for discrete-time nonlinear systems. - Samuele Zoboli; Daniele Astolfi; Vincent Andrieu (CoRR, 2022)

LMI Conditions for $k- text{contraction}$ Analysis: A Step Towards Design. - Samuele Zoboli; Andreu Cecilia; Ulysse Serres; Daniele Astolfi; Vincent Andrieu (CDC, 2023)

Generalized Lyapunov conditions for k-contraction: analysis and feedback design. - Andreu Cecilia; Samuele Zoboli; Daniele Astolfi; Ulysse Serres; Vincent Andrieu (CoRR, 2023)

Achieving reliable control: robustness and stability in nonlinear systems via DNN-based feedback design. (Obtenir un contrôle fiable: robustesse et stabilité des systèmes non linéaires grâce aux lois des commandes basée sur les DNNs). - Samuele Zoboli (2023)

Total stability of equilibria motivates integral action in discrete-time nonlinear systems. - Samuele Zoboli; Daniele Astolfi; Vincent Andrieu (Autom., 2023)

Quadratic abstractions for k-contraction. - Samuele Zoboli; Andreu Cecilia; Sophie Tarbouriech (CDC, 2024)

Robust Neural IDA-PBC: passivity-based stabilization under approximations. - Santiago Sanchez-Escalonilla; Samuele Zoboli; Bayu Jayawardhana (CoRR, 2024)

Synchronization in Networks of Nonlinear Systems: Contraction Analysis via Riemannian Metrics and Deep-Learning for Feedback Estimation. - Mattia Giaccagli; Samuele Zoboli; Daniele Astolfi; Vincent Andrieu; Giacomo Casadei (IEEE Trans. Autom. Control., 2024)