Fabio Bonassi - RankMe

28 papers Journal 20Unranked 7

Year	Rank	Type	Title / 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