Fabio Bonassi

According to our database, Fabio Bonassi authored at least 20 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Nonlinear MPC design for incrementally ISS systems with application to GRU networks.

Fabio Bonassi, Alessio La Bella, Marcello Farina, Riccardo Scattolini

Autom., January, 2024

On the Equivalence of Direct and Indirect Data-Driven Predictive Control Approaches.

Per Mattsson, Fabio Bonassi, Valentina Breschi, Thomas B. Schön

IEEE Control. Syst. Lett., 2024

Accounts of using the Tustin-Net architecture on a rotary inverted pendulum.

Stijn van Esch, Fabio Bonassi, Thomas B. Schön

CoRR, 2024

Internal Model Control design for systems learned by Control Affine Neural Nonlinear Autoregressive Exogenous Models.

Jing Xie, Fabio Bonassi, Riccardo Scattolini

CoRR, 2024

Estimation and MPC control based on gated recurrent unit neural networks with unknown disturbances.

Eva Masero, Fabio Bonassi, Alessio La Bella, Riccardo Scattolini

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

Learning state observers for recurrent neural network models.

Fabio Bonassi, Carl R. Andersson, Per Mattsson, Thomas B. Schön

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2023

Reconciling deep learning and control theory : recurrent neural networks for model-based control design

Fabio Bonassi

PhD thesis, 2023

Structured state-space models are deep Wiener models.

Fabio Bonassi, Carl R. Andersson, Per Mattsson, Thomas B. Schön

CoRR, 2023

Deep Long-Short Term Memory networks: Stability properties and Experimental validation.

Fabio Bonassi, Alessio La Bella, Giulio Panzani, Marcello Farina, Riccardo Scattolini

Proceedings of the European Control Conference, 2023

2022

Recurrent Neural Network-based Internal Model Control design for stable nonlinear systems.

Fabio Bonassi, Riccardo Scattolini

Eur. J. Control, 2022

Robust offset-free nonlinear model predictive control for systems learned by neural nonlinear autoregressive exogenous models.

Jing Xie, Fabio Bonassi, Marcello Farina, Riccardo Scattolini

CoRR, 2022

Towards lifelong learning of Recurrent Neural Networks for control design.

Fabio Bonassi, Jing Xie, Marcello Farina, Riccardo Scattolini

Proceedings of the European Control Conference, 2022

An Offset-Free Nonlinear MPC scheme for systems learned by Neural NARX models.

Fabio Bonassi, Jing Xie, Marcello Farina, Riccardo Scattolini

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

On the stability properties of Gated Recurrent Units neural networks.

Fabio Bonassi, Marcello Farina, Riccardo Scattolini

Syst. Control. Lett., 2021

On Recurrent Neural Networks for learning-based control: recent results and ideas for future developments.

Fabio Bonassi, Marcello Farina, Jing Xie, Riccardo Scattolini

CoRR, 2021

Recurrent neural network-based Internal Model Control of unknown nonlinear stable systems.

Fabio Bonassi, Riccardo Scattolini

CoRR, 2021

Nonlinear MPC for Offset-Free Tracking of systems learned by GRU Neural Networks.

Fabio Bonassi, Caio Fabio Oliveira da Silva, Riccardo Scattolini

CoRR, 2021

2020

Stability of discrete-time feed-forward neural networks in NARX configuration.

Fabio Bonassi, Marcello Farina, Riccardo Scattolini

CoRR, 2020

LSTM Neural Networks: Input to State Stability and Probabilistic Safety Verification.

Fabio Bonassi, Enrico Terzi, Marcello Farina, Riccardo Scattolini

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Software-in-the-loop testing of a distributed optimal scheduling strategy for microgrids' aggregators.

Fabio Bonassi, Alessio La Bella, Lorenzo Fagiano, Riccardo Scattolini, Donato Zarrilli, Pablo Almaleck

Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2020