Fabio Bonassi

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 23

Top Topics

Life Long Learning

Internal Model Control

Top Venues

Eur. J. Control

IEEE Control. Syst. Lett.

Publications

Jing Xie, Fabio Bonassi, Riccardo Scattolini
Internal Model Control design for systems learned by Control Affine Neural Nonlinear Autoregressive Exogenous Models. CoRR (2024)
Per Mattsson, Fabio Bonassi, Valentina Breschi, Thomas B. Schön
On the Equivalence of Direct and Indirect Data-Driven Predictive Control Approaches. IEEE Control. Syst. Lett. 8 (2024)
Per Mattsson, Fabio Bonassi, Valentina Breschi, Thomas B. Schön
On the equivalence of direct and indirect data-driven predictive control approaches. CoRR (2024)
Fabio Bonassi, Alessio La Bella, Marcello Farina, Riccardo Scattolini
Nonlinear MPC design for incrementally ISS systems with application to GRU networks. Autom. 159 (2024)
Fabio Bonassi, Carl R. Andersson, Per Mattsson, Thomas B. Schön
Structured state-space models are deep Wiener models. CoRR (2023)
Fabio Bonassi, Alessio La Bella, Giulio Panzani, Marcello Farina, Riccardo Scattolini
Deep Long-Short Term Memory networks: Stability properties and Experimental validation. CoRR (2023)
Fabio Bonassi, Alessio La Bella, Giulio Panzani, Marcello Farina, Riccardo Scattolini
Deep Long-Short Term Memory networks: Stability properties and Experimental validation. ECC (2023)
Fabio Bonassi, Alessio La Bella, Marcello Farina, Riccardo Scattolini
Nonlinear MPC design for incrementally ISS systems with application to GRU networks. CoRR (2023)
Fabio Bonassi, Jing Xie, Marcello Farina, Riccardo Scattolini
Towards lifelong learning of Recurrent Neural Networks for control design. ECC (2022)
Jing Xie, Fabio Bonassi, Marcello Farina, Riccardo Scattolini
Robust offset-free nonlinear model predictive control for systems learned by neural nonlinear autoregressive exogenous models. CoRR (2022)
Fabio Bonassi, Riccardo Scattolini
Recurrent Neural Network-based Internal Model Control design for stable nonlinear systems. Eur. J. Control 65 (2022)
Fabio Bonassi, Jing Xie, Marcello Farina, Riccardo Scattolini
An Offset-Free Nonlinear MPC scheme for systems learned by Neural NARX models. CoRR (2022)
Fabio Bonassi, Jing Xie, Marcello Farina, Riccardo Scattolini
An Offset-Free Nonlinear MPC scheme for systems learned by Neural NARX models. CDC (2022)
Fabio Bonassi, Jing Xie, Marcello Farina, Riccardo Scattolini
Towards lifelong learning of Recurrent Neural Networks for control design. CoRR (2022)
Fabio Bonassi, Riccardo Scattolini
Recurrent neural network-based Internal Model Control of unknown nonlinear stable systems. CoRR (2021)
Fabio Bonassi, Caio Fabio Oliveira da Silva, Riccardo Scattolini
Nonlinear MPC for Offset-Free Tracking of systems learned by GRU Neural Networks. CoRR (2021)
Fabio Bonassi, Marcello Farina, Riccardo Scattolini
On the stability properties of Gated Recurrent Units neural networks. Syst. Control. Lett. 157 (2021)
Fabio Bonassi, Marcello Farina, Jing Xie, Riccardo Scattolini
On Recurrent Neural Networks for learning-based control: recent results and ideas for future developments. CoRR (2021)
Fabio Bonassi, Alessio La Bella, Lorenzo Fagiano, Riccardo Scattolini, Donato Zarrilli, Pablo Almaleck
Software-in-the-loop testing of a distributed optimal scheduling strategy for microgrids' aggregators. ISGT-Europe (2020)
Fabio Bonassi, Marcello Farina, Riccardo Scattolini
On the stability properties of Gated Recurrent Units neural networks. CoRR (2020)
Fabio Bonassi, Enrico Terzi, Marcello Farina, Riccardo Scattolini
LSTM Neural Networks: Input to State Stability and Probabilistic Safety Verification. L4DC (2020)
Fabio Bonassi, Marcello Farina, Riccardo Scattolini
Stability of discrete-time feed-forward neural networks in NARX configuration. CoRR (2020)
Fabio Bonassi, Enrico Terzi, Marcello Farina, Riccardo Scattolini
LSTM Neural Networks: Input to State Stability and Probabilistic Safety Verification. CoRR (2019)