| Learning model predictive control with long short‐term memory networks E Terzi, F Bonassi, M Farina, R Scattolini International Journal of Robust and Nonlinear Control, 2019 | 62* | 2019 |
| On recurrent neural networks for learning-based control: recent results and ideas for future developments F Bonassi, M Farina, J Xie, R Scattolini Journal of Process Control 114, 92-104, 2022 | 50 | 2022 |
| On the stability properties of gated recurrent units neural networks F Bonassi, M Farina, R Scattolini Systems & Control Letters 157, 105049, 2021 | 37 | 2021 |
| LSTM neural networks: Input to state stability and probabilistic safety verification F Bonassi, E Terzi, M Farina, R Scattolini Learning for Dynamics and Control, 85-94, 2020 | 37 | 2020 |
| Stability of discrete-time feed-forward neural networks in NARX configuration F Bonassi, M Farina, R Scattolini IFAC-PapersOnLine 54 (7), 547-552, 2021 | 29 | 2021 |
| Nonlinear MPC for Offset-Free Tracking of systems learned by GRU Neural Networks F Bonassi, CF Oliveira da Silva, R Scattolini IFAC-PapersOnLine 54 (14), 54-59, 2021 | 24 | 2021 |
| Recurrent neural network-based internal model control design for stable nonlinear systems F Bonassi, R Scattolini European Journal of Control 65, 100632, 2022 | 14 | 2022 |
| Two-layer model predictive control of systems with independent dynamics and shared control resources A La Bella, F Bonassi, M Farina, R Scattolini IFAC-PapersOnLine 52 (3), 96-101, 2019 | 10 | 2019 |
| An Offset-Free Nonlinear MPC scheme for systems learned by Neural NARX models F Bonassi, J Xie, M Farina, R Scattolini 2022 IEEE 61st Conference on Decision and Control (CDC), 2123-2128, 2022 | 7 | 2022 |
| Supervised control of hybrid AC-DC grids for power balance restoration F Bonassi, A La Bella, R Lazzari, C Sandroni, R Scattolini Electric Power Systems Research 196, 107107, 2021 | 7 | 2021 |
| Nonlinear MPC design for incrementally ISS systems with application to GRU networks F Bonassi, A La Bella, M Farina, R Scattolini Automatica 159, 111381, 2024 | 6 | 2024 |
| Software-in-the-loop testing of a distributed optimal scheduling strategy for microgrids’ aggregators F Bonassi, A La Bella, L Fagiano, R Scattolini, D Zarrilli, P Almaleck 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), 985-989, 2020 | 6 | 2020 |
| Towards lifelong learning of recurrent neural networks for control design F Bonassi, J Xie, M Farina, R Scattolini 2022 European Control Conference (ECC), 2018-2023, 2022 | 5 | 2022 |
| Reconciling deep learning and control theory: recurrent neural networks for model-based control design F Bonassi | 5 | 2022 |
| A hierarchical approach for balancing service provision by microgrids aggregators A La Bella, F Bonassi, C Sandroni, L Fagiano, R Scattolini IFAC-PapersOnLine 53 (2), 12930-12935, 2020 | 5 | 2020 |
| A fully distributed control scheme for power balancing in distribution networks A La Bella, F Bonassi, P Klaus, R Scattolini IFAC-PapersOnLine 53 (2), 13178-13183, 2020 | 5 | 2020 |
| Robust offset-free nonlinear model predictive control for systems learned by neural nonlinear autoregressive exogenous models J Xie, F Bonassi, M Farina, R Scattolini International Journal of Robust and Nonlinear Control 33 (16), 9992-10009, 2023 | 3 | 2023 |
| Deep Long-Short Term Memory networks: Stability properties and Experimental validation F Bonassi, A La Bella, G Panzani, M Farina, R Scattolini 2023 European Control Conference (ECC), 2023 | 2 | 2023 |
| Structured state-space models are deep Wiener models F Bonassi, C Andersson, P Mattsson, TB Schön arXiv preprint arXiv:2312.06211, 2023 | 1 | 2023 |
| Safeguarded optimal policy learning for a smart discrete manufacturing plant R Boffadossi, F Bonassi, L Fagiano, R Scattolini, A Cataldo IFAC-PapersOnLine 55 (2), 396-401, 2022 | 1 | 2022 |
Riccardo ScattoliniPolitecnico di MilanoVerified email at polimi.it
