Learning-based predictive control for linear systems: A unitary approach E Terzi, L Fagiano, M Farina, R Scattolini Automatica 108, 108473, 2019 | 64 | 2019 |
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 31 (18), 8877-8896, 2021 | 48 | 2021 |
Model predictive control design for dynamical systems learned by echo state networks LB Armenio, E Terzi, M Farina, R Scattolini IEEE Control Systems Letters 3 (4), 1044-1049, 2019 | 48 | 2019 |
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 |
Learning-based predictive control of the cooling system of a large business centre E Terzi, T Bonetti, D Saccani, M Farina, L Fagiano, R Scattolini Control Engineering Practice 97, 104348, 2020 | 27 | 2020 |
Learning multi-step prediction models for receding horizon control E Terzi, L Fagiano, M Farina, R Scattolini 2018 European Control Conference (ECC), 1335-1340, 2018 | 21 | 2018 |
Model predictive control design for dynamical systems learned by Long Short-Term Memory Networks E Terzi, F Bonassi, M Farina, R Scattolini arXiv preprint arXiv:1910.04024, 2019 | 16 | 2019 |
Echo state networks: analysis, training and predictive control LB Armenio, E Terzi, M Farina, R Scattolini 2019 18th European Control Conference (ECC), 799-804, 2019 | 16 | 2019 |
Modelling and predictive control of a recirculating cooling water system for an industrial plant E Terzi, A Cataldo, P Lorusso, R Scattolini Journal of Process Control 68, 205-217, 2018 | 11 | 2018 |
Robust predictive control with data-based multi-step prediction models E Terzi, M Farina, L Fagiano, R Scattolini 2018 European Control Conference (ECC), 1710-1715, 2018 | 10 | 2018 |
Structured modelling from data and optimal control of the cooling system of a large business center E Terzi, L Fagiano, M Farina, R Scattolini Journal of Building Engineering 28, 101043, 2020 | 9 | 2020 |
Robust multi-rate predictive control using multi-step prediction models learned from data E Terzi, M Farina, L Fagiano, R Scattolini Automatica 136, 109852, 2022 | 7 | 2022 |
Optimal training of echo state networks via scenario optimization LB Armenio, L Fagiano, E Terzi, M Farina, R Scattolini IFAC-PapersOnLine 53 (2), 5183-5188, 2020 | 3 | 2020 |
Identification of the cooling system of a large business center E Terzi, L Fagiano, M Farina, R Scattolini IFAC-PapersOnLine 51 (15), 174-179, 2018 | 3 | 2018 |
Scenario optimization for optimal training of Echo State Networks LB Armenio, L Fagiano, E Terzi, M Farina, R Scattolini arXiv preprint arXiv:1912.01693, 2019 | 2 | 2019 |
On multi-step prediction models for receding horizon control E Terzi, L Fagiano, M Farina, R Scattolini arXiv preprint arXiv:1802.09767, 2018 | 1 | 2018 |
Robust multi-rate predictive control using multi-step prediction models learned from data E Terzi, L Fagiano, M Farina, R Scattolini arXiv preprint arXiv:2102.08302, 2021 | | 2021 |
Learning-based model predictive control: theory and applications E Terzi Politecnico di Milano, 2020 | | 2020 |
Learning-based predictive control for MIMO systems JR Salvador, E Terzi, M Farina, DR Ramírez, L Fagiano, DM de la Peña, ... 2019 IEEE 58th Conference on Decision and Control (CDC), 7671-7676, 2019 | | 2019 |
Scenario optimization for optimal training of Echo State Networks L Bugliari Armenio, L Fagiano, E Terzi, M Farina, R Scattolini arXiv e-prints, arXiv: 1912.01693, 2019 | | 2019 |