Stochastic linear model predictive control with chance constraints–a review M Farina, L Giulioni, R Scattolini Journal of Process Control 44, 53-67, 2016 | 368 | 2016 |
Distributed predictive control: A non-cooperative algorithm with neighbor-to-neighbor communication for linear systems M Farina, R Scattolini Automatica 48 (6), 1088-1096, 2012 | 321 | 2012 |
Plug-and-play decentralized model predictive control for linear systems S Riverso, M Farina, G Ferrari-Trecate IEEE Transactions on Automatic Control 58 (10), 2608-2614, 2013 | 224 | 2013 |
Distributed moving horizon estimation for linear constrained systems M Farina, G Ferrari-Trecate, R Scattolini IEEE Transactions on Automatic Control 55 (11), 2462-2475, 2010 | 224 | 2010 |
Forecasting peak air pollution levels using NARX models E Pisoni, M Farina, C Carnevale, L Piroddi Engineering Applications of Artificial Intelligence 22 (4-5), 593-602, 2009 | 191 | 2009 |
A two-layer stochastic model predictive control scheme for microgrids SR Cominesi, M Farina, L Giulioni, B Picasso, R Scattolini IEEE Transactions on Control Systems Technology 26 (1), 1-13, 2017 | 167 | 2017 |
An approach to output-feedback MPC of stochastic linear discrete-time systems M Farina, L Giulioni, L Magni, R Scattolini Automatica 55, 140-149, 2015 | 124 | 2015 |
Moving-horizon partition-based state estimation of large-scale systems M Farina, G Ferrari-Trecate, R Scattolini Automatica 46 (5), 910-918, 2010 | 121 | 2010 |
A probabilistic approach to model predictive control M Farina, L Giulioni, L Magni, R Scattolini 52nd IEEE conference on decision and control, 7734-7739, 2013 | 111 | 2013 |
A robust MPC algorithm for offset-free tracking of constant reference signals G Betti, M Farina, R Scattolini IEEE Transactions on Automatic Control 58 (9), 2394-2400, 2013 | 107 | 2013 |
Plug-and-play model predictive control based on robust control invariant sets S Riverso, M Farina, G Ferrari-Trecate Automatica 50 (8), 2179-2186, 2014 | 105 | 2014 |
Distributed moving horizon estimation for nonlinear constrained systems M Farina, G Ferrari‐Trecate, R Scattolini International Journal of Robust and Nonlinear Control 22 (2), 123-143, 2012 | 80 | 2012 |
Nonlinear model predictive control with enhanced actuator model for multi-rotor aerial vehicles with generic designs D Bicego, J Mazzetto, R Carli, M Farina, A Franchi Journal of Intelligent & Robotic Systems 100 (3), 1213-1247, 2020 | 78 | 2020 |
Development of a control-oriented model of floating wind turbines G Betti, M Farina, GA Guagliardi, A Marzorati, R Scattolini IEEE Transactions on Control Systems Technology 22 (1), 69-82, 2013 | 72 | 2013 |
Learning-based predictive control for linear systems: A unitary approach E Terzi, L Fagiano, M Farina, R Scattolini Automatica 108, 108473, 2019 | 70 | 2019 |
Tube-based robust sampled-data MPC for linear continuous-time systems M Farina, R Scattolini Automatica 48 (7), 1473-1476, 2012 | 69 | 2012 |
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 | 64 | 2022 |
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 | 60 | 2021 |
Distributed MPC: A noncooperative approach based on robustness concepts G Betti, M Farina, R Scattolini Distributed model predictive control made easy, 421-435, 2013 | 59 | 2013 |
Model predictive control of voltage profiles in MV networks with distributed generation M Farina, A Guagliardi, F Mariani, C Sandroni, R Scattolini Control Engineering Practice 34, 18-29, 2015 | 58 | 2015 |