Simone Garatti

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Marco C. CampiUniversity of Brescia, professorVerified email at unibs.it
Maria PrandiniPolitecnico di MilanoVerified email at polimi.it
Sergio BittantiPolitecnico di Milano - Dipartimento di Elettronica, Informazione e BioingegneriaVerified email at polimi.it
Alessandro FalsoneAssociate Professor, Politecnico di MilanoVerified email at polimi.it
Kostas MargellosUniversity of OxfordVerified email at eng.ox.ac.uk
Algo CarèUniversity of Brescia, ItalyVerified email at unibs.it
Sergio Matteo Savaresipolitecnico milanoVerified email at polimi.it
Giuseppe Carlo CalafioreFull Professor (Professore Ordinario), Politecnico di TorinoVerified email at polito.it
Steven H. LowGilloon Professor of Computing+Mathematical Sciences, Electrical Engineering, CaltechVerified email at caltech.edu
Louis WehenkelProfessor of EE&CS, Montefiore Institute, ULiège - University of LiègeVerified email at ulg.ac.be
Simone FormentinAssociate Professor, Politecnico di MilanoVerified email at polimi.it
John LygerosProf. of Computation and Control, ETH ZurichVerified email at ethz.ch
PanciaticiRTEVerified email at rte-france.com
X. Andy SunMassachusetts Institute of TechnologyVerified email at mit.edu
Daniel K. MolzahnAssistant Professor at the Georgia Institute of Technology. Computational Engineer at ArgonneVerified email at gatech.edu
Erik WeyerThe University of MelbourneVerified email at unimelb.edu.au
Riccardo VignaliRicerca sul Sistema Energetico - RSE S.p.A.Verified email at polimi.it
Hasan Arshad NasirAssistant Professor, National University of Sciences and Technology, IslamabadVerified email at seecs.edu.pk
Balázs Csanád CsájiSZTAKI: Institute for Computer Science and Control, Budapest, HungaryVerified email at sztaki.hu

Simone Garatti

Politecnico di Milano - Dipartimento di Elettronica, Informazione e Bioingegneria

Verified email at polimi.it - Homepage

data-driven decision making scenario optimization randomized algorithms system identification stochastic systems


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The exact feasibility of randomized solutions of uncertain convex programs MC Campi, S Garatti SIAM Journal on Optimization 19 (3), 1211-1230, 2008	696	2008
A sampling-and-discarding approach to chance-constrained optimization: feasibility and optimality MC Campi, S Garatti Journal of optimization theory and applications 148 (2), 257-280, 2011	497	2011
The scenario approach for systems and control design MC Campi, S Garatti, M Prandini Annual Reviews in Control 33 (2), 149-157, 2009	494	2009
Dual decomposition for multi-agent distributed optimization with coupling constraints A Falsone, K Margellos, S Garatti, M Prandini Automatica 84, 149-158, 2017	220	2017
Wait-and-judge scenario optimization MC Campi, S Garatti Mathematical Programming 167, 155-189, 2018	185	2018
A general scenario theory for nonconvex optimization and decision making MC Campi, S Garatti, FA Ramponi IEEE Transactions on Automatic Control 63 (12), 4067-4078, 2018	180	2018
Interval predictor models: Identification and reliability MC Campi, G Calafiore, S Garatti Automatica 45 (2), 382-392, 2009	142	2009
Distributed constrained optimization and consensus in uncertain networks via proximal minimization K Margellos, A Falsone, S Garatti, M Prandini IEEE Transactions on Automatic Control 63 (5), 1372-1387, 2017	115	2017
Introduction to the scenario approach MC Campi, S Garatti Society for Industrial and Applied Mathematics, 2018	112	2018
Modulating robustness in control design: Principles and algorithms S Garatti, MC Campi IEEE Control Systems Magazine 33 (2), 36-51, 2013	107	2013
A randomized approach to stochastic model predictive control M Prandini, S Garatti, J Lygeros 2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 7315-7320, 2012	94	2012
Scenario-based economic dispatch with uncertain demand response H Ming, L Xie, MC Campi, S Garatti, PR Kumar IEEE Transactions on Smart Grid 10 (2), 1858-1868, 2017	89	2017
Risk and complexity in scenario optimization S Garatti, MC Campi Mathematical Programming 191 (1), 243-279, 2022	80	2022
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	75	2018
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	73	2015
Advanced optimization methods for power systems P Panciatici, MC Campi, S Garatti, SH Low, DK Molzahn, AX Sun, ... 2014 power systems computation conference, 1-18, 2014	69	2014
Assessing the quality of identified models through the asymptotic theory—when is the result reliable? S Garatti, MC Campi, S Bittanti Automatica 40 (8), 1319-1332, 2004	68	2004
FAST—Fast algorithm for the scenario technique A Carè, S Garatti, MC Campi Operations Research 62 (3), 662-671, 2014	65	2014
The scenario approach: A tool at the service of data-driven decision making MC Campi, A Carè, S Garatti Annual Reviews in Control 52, 1-17, 2021	48	2021
Non-convex scenario optimization with application to system identification MC Campi, S Garatti, FA Ramponi 2015 54th IEEE Conference on Decision and Control (CDC), 4023-4028, 2015	42	2015

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