| An incremental input-to-state stability condition for a generic class of recurrent neural networks W D'Amico, A La Bella, M Farina arXiv preprint arXiv:2210.09721, 2022 | 6 | 2022 |
| Recurrent neural network controllers learned using virtual reference feedback tuning with application to an electronic throttle body W D'Amico, M Farina, G Panzani 2022 European Control Conference (ECC), 2137-2142, 2022 | 6 | 2022 |
| Advanced control based on recurrent neural networks learned using virtual reference feedback tuning and application to an electronic throttle body (with supplementary material) W D'Amico, M Farina, G Panzani arXiv preprint arXiv:2103.02567, 2021 | 6 | 2021 |
| Data-based control design for linear discrete-time systems with robust stability guarantees W D’Amico, M Farina 2022 IEEE 61st Conference on Decision and Control (CDC), 1429-1434, 2022 | 4 | 2022 |
| Direct nonlinear control design: virtual reference feedback tuning with recurrent neural networks W D'AMICO Politecnico di Milano, 2018 | 2 | 2018 |
| Virtual reference feedback tuning for linear discrete-time systems with robust stability guarantees based on set membership W D’Amico, M Farina Automatica 157, 111228, 2023 | 1 | 2023 |
| Data-based control design for output-error linear discrete-time systems with probabilistic stability guarantees W D’Amico, A Bisoffi, M Farina IEEE Control Systems Letters, 2023 | 1 | 2023 |
| Data-based control design for nonlinear systems with recurrent neural network-based controllers W D'Amico, A La Bella, F Dercole, M Farina IFAC-PapersOnLine 56 (2), 6235-6240, 2023 | 1 | 2023 |
| An incremental input-to-state stability condition for a class of recurrent neural networks W D'Amico, A La Bella, M Farina IEEE Transactions on Automatic Control, 2023 | | 2023 |
| Data-Driven Control of Echo State-Based Recurrent Neural Networks with Robust Stability Guarantees W D'Amico, A La Bella, M Farina Available at SSRN 4741107, 0 | | |
Marcello FarinaAssistant Professor, Politecnico di MilanoVerified email at polimi.it
