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 FalsoneAssistant 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
Le XieSegers Family Dean’s Excellence Professor in Engineering, Texas A&M UniversityVerified email at tamu.edu
Steven H. LowGilloon Professor of Computing+Mathematical Sciences, Electrical Engineering, CaltechVerified email at caltech.edu
Louis WehenkelProfessor of Electrical Engineering and Computer Science, 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
M. Sadegh ModarresiERCOTVerified email at ercot.com
Robert BitmeadProfessor of Mechanical & Aerospace Engineering at UCSDVerified email at eng.ucsd.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

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	588	2008
The scenario approach for systems and control design MC Campi, S Garatti, M Prandini Annual Reviews in Control 33 (2), 149-157, 2009	408	2009
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	402	2011
Dual decomposition for multi-agent distributed optimization with coupling constraints A Falsone, K Margellos, S Garatti, M Prandini Automatica 84, 149-158, 2017	143	2017
Wait-and-judge scenario optimization MC Campi, S Garatti Mathematical Programming 167, 155-189, 2018	139	2018
Interval predictor models: Identification and reliability MC Campi, G Calafiore, S Garatti Automatica 45 (2), 382-392, 2009	121	2009
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	109	2018
Modulating robustness in control design: Principles and algorithms S Garatti, MC Campi IEEE Control Systems Magazine 33 (2), 36-51, 2013	92	2013
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	85	2017
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	83	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	72	2017
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	64	2004
Introduction to the scenario approach MC Campi, S Garatti Society for Industrial and Applied Mathematics, 2018	62	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	62	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	59	2014
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	52	2018
FAST—fast algorithm for the scenario technique A Carè, S Garatti, MC Campi Operations Research 62 (3), 662-671, 2014	52	2014
Risk and complexity in scenario optimization S Garatti, MC Campi Mathematical Programming 191 (1), 243-279, 2022	46	2022
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	36	2015
Stochastic constrained control: trading performance for state constraint feasibility L Deori, S Garatti, M Prandini 2013 european control conference (ecc), 2740-2745, 2013	27	2013

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