Algo Carè
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Deterministic continuous-time Virtual Reference Feedback Tuning (VRFT) with application to PID design
S Formentin, MC Campi, A Carč, SM Savaresi
Systems & Control Letters 127, 25-34, 2019
Classification of solar wind with machine learning
E Camporeale, A Carč, JE Borovsky
Journal of Geophysical Research: Space Physics 122 (11), 10,910-10,920, 2017
Scenario min-max optimization and the risk of empirical costs
A Carè, S Garatti, MC Campi
SIAM Journal on Optimization 25 (4), 2061-2080, 2015
Scenario-based economic dispatch with tunable risk levels in high-renewable power systems
MS Modarresi, L Xie, MC Campi, S Garatti, A Care, AA Thatte, PR Kumar
IEEE Transactions on Power Systems 34 (6), 5103-5114, 2018
Finite-sample system identification: An overview and a new correlation method
A Care, BC Csáji, MC Campi, E Weyer
IEEE Control Systems Letters 2 (1), 61-66, 2017
FAST—Fast algorithm for the scenario technique
A Carč, S Garatti, MC Campi
Operations Research 62 (3), 662-671, 2014
Random Convex Programs with -Regularization: Sparsity and Generalization
MC Campi, A Caré
SIAM Journal on Control and Optimization 51 (5), 3532-3557, 2013
A toolbox for virtual reference feedback tuning (VRFT)
A Care, F Torricelli, MC Campi, SM Savaresi
2019 18th European control conference (ECC), 4252-4257, 2019
The scenario approach: A tool at the service of data-driven decision making
MC Campi, A Carč, S Garatti
Annual Reviews in Control 52, 1-17, 2021
A new classification algorithm with guaranteed sensitivity and specificity for medical applications
A Care, FA Ramponi, MC Campi
IEEE Control Systems Letters 2 (3), 393-398, 2018
On a class of interval predictor models with universal reliability
S Garatti, MC Campi, A Care
Automatica 110, 108542, 2019
A scenario-based stochastic MPC approach for problems with normal and rare operations with an application to rivers
HA Nasir, A Carč, E Weyer
IEEE Transactions on Control Systems Technology 27 (4), 1397-1410, 2018
A coverage theory for least squares
A Care, S Garatti, MC Campi
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2017
Sign-perturbed sums (SPS) with instrumental variables for the identification of ARX systems
V Volpe, BC Csáji, A Care, E Weyer, MC Campi
2015 54th IEEE Conference on Decision and Control (CDC), 2115-2120, 2015
ACCRUE: Accurate and Reliable Uncertainty Estimate in Deterministic models
E Camporeale, A Carč
International Journal for Uncertainty Quantification 11 (4), 81-94, 2021
Kernel-based SPS
G Pillonetto, A Carč, MC Campi
IFAC-PapersOnLine 51 (15), 31-36, 2018
Efficient river management using stochastic MPC and ensemble forecast of uncertain in-flows
HA Nasir, T Zhao, A Carč, QJ Wang, E Weyer
IFAC-PapersOnLine 51 (5), 37-42, 2018
Facing undermodelling in Sign-Perturbed-Sums system identification
A Carč, MC Campi, BC Csáji, E Weyer
Systems & Control Letters 153, 104936, 2021
The wait-and-judge scenario approach applied to antenna array design
A Carč, S Garatti, MC Campi
Computational Management Science 16 (3), 481-499, 2019
Bayesian frequentist bounds for machine learning and system identification
G Baggio, A Carč, A Scampicchio, G Pillonetto
Automatica 146, 110599, 2022
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