Fabio Bonassi

28 papers Journal 20Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
Learning Control Affine Neural NARX Models for Internal Model Control Design.
IEEE Trans Autom. Sci. Eng.
Jing Xie, Fabio Bonassi, Riccardo Scattolini
2024 J jnl
Accounts of using the Tustin-Net architecture on a rotary inverted pendulum.
CoRR
Stijn van Esch, Fabio Bonassi, Thomas B. Schön
2024 — conf
Estimation and MPC control based on gated recurrent unit neural networks with unknown disturbances.
CDC
Eva Masero, Fabio Bonassi, Alessio La Bella, Riccardo Scattolini
2024 J jnl
Internal Model Control design for systems learned by Control Affine Neural Nonlinear Autoregressive Exogenous Models.
CoRR
Jing Xie, Fabio Bonassi, Riccardo Scattolini
2024 — conf
Learning state observers for recurrent neural network models.
CDC
Fabio Bonassi, Carl R. Andersson, Per Mattsson, Thomas B. Schön
2024 J jnl
Nonlinear MPC design for incrementally ISS systems with application to GRU networks.
Autom.
Fabio Bonassi, Alessio La Bella, Marcello Farina, Riccardo Scattolini
2024 J jnl
On the Equivalence of Direct and Indirect Data-Driven Predictive Control Approaches.
IEEE Control. Syst. Lett.
Per Mattsson, Fabio Bonassi, Valentina Breschi, Thomas B. Schön
2024 J jnl
On the equivalence of direct and indirect data-driven predictive control approaches.
CoRR
Per Mattsson, Fabio Bonassi, Valentina Breschi, Thomas B. Schön
2023 — conf
Deep Long-Short Term Memory networks: Stability properties and Experimental validation.
ECC
Fabio Bonassi, Alessio La Bella, Giulio Panzani, Marcello Farina, Riccardo Scattolini
2023 J jnl
Deep Long-Short Term Memory networks: Stability properties and Experimental validation.
CoRR
Fabio Bonassi, Alessio La Bella, Giulio Panzani, Marcello Farina, Riccardo Scattolini
2023 J jnl
Nonlinear MPC design for incrementally ISS systems with application to GRU networks.
CoRR
Fabio Bonassi, Alessio La Bella, Marcello Farina, Riccardo Scattolini
2023 — —
Reconciling deep learning and control theory : recurrent neural networks for model-based control design
Fabio Bonassi
2023 J jnl
Structured state-space models are deep Wiener models.
CoRR
Fabio Bonassi, Carl R. Andersson, Per Mattsson, Thomas B. Schön
2022 — conf
An Offset-Free Nonlinear MPC scheme for systems learned by Neural NARX models.
CDC
Fabio Bonassi, Jing Xie, Marcello Farina, Riccardo Scattolini
2022 J jnl
An Offset-Free Nonlinear MPC scheme for systems learned by Neural NARX models.
CoRR
Fabio Bonassi, Jing Xie, Marcello Farina, Riccardo Scattolini
2022 J jnl
Recurrent Neural Network-based Internal Model Control design for stable nonlinear systems.
Eur. J. Control
Fabio Bonassi, Riccardo Scattolini
2022 J jnl
Robust offset-free nonlinear model predictive control for systems learned by neural nonlinear autoregressive exogenous models.
CoRR
Jing Xie, Fabio Bonassi, Marcello Farina, Riccardo Scattolini
2022 — conf
Towards lifelong learning of Recurrent Neural Networks for control design.
ECC
Fabio Bonassi, Jing Xie, Marcello Farina, Riccardo Scattolini
2022 J jnl
Towards lifelong learning of Recurrent Neural Networks for control design.
CoRR
Fabio Bonassi, Jing Xie, Marcello Farina, Riccardo Scattolini
2021 J jnl
Nonlinear MPC for Offset-Free Tracking of systems learned by GRU Neural Networks.
CoRR
Fabio Bonassi, Caio Fabio Oliveira da Silva, Riccardo Scattolini
2021 J jnl
On Recurrent Neural Networks for learning-based control: recent results and ideas for future developments.
CoRR
Fabio Bonassi, Marcello Farina, Jing Xie, Riccardo Scattolini
2021 J jnl
On the stability properties of Gated Recurrent Units neural networks.
Syst. Control. Lett.
Fabio Bonassi, Marcello Farina, Riccardo Scattolini
2021 J jnl
Recurrent neural network-based Internal Model Control of unknown nonlinear stable systems.
CoRR
Fabio Bonassi, Riccardo Scattolini
2020 — conf
LSTM Neural Networks: Input to State Stability and Probabilistic Safety Verification.
L4DC
Fabio Bonassi, Enrico Terzi, Marcello Farina, Riccardo Scattolini
2020 J jnl
On the stability properties of Gated Recurrent Units neural networks.
CoRR
Fabio Bonassi, Marcello Farina, Riccardo Scattolini
2020 — conf
Software-in-the-loop testing of a distributed optimal scheduling strategy for microgrids' aggregators.
ISGT-Europe
Fabio Bonassi, Alessio La Bella, Lorenzo Fagiano, Riccardo Scattolini, Donato Zarrilli, Pablo Almaleck
2020 J jnl
Stability of discrete-time feed-forward neural networks in NARX configuration.
CoRR
Fabio Bonassi, Marcello Farina, Riccardo Scattolini
2019 J jnl
LSTM Neural Networks: Input to State Stability and Probabilistic Safety Verification.
CoRR
Fabio Bonassi, Enrico Terzi, Marcello Farina, Riccardo Scattolini