Marco C. Campi

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Simone GarattiPolitecnico di Milano - Dipartimento di Elettronica, Informazione e BioingegneriaVerified email at polimi.it
Sergio BittantiPolitecnico di Milano - Dipartimento di Elettronica, Informazione e BioingegneriaVerified email at polimi.it
Sergio Matteo Savaresipolitecnico milanoVerified email at polimi.it
Giuseppe Carlo CalafioreFull Professor (Professore Ordinario), Politecnico di TorinoVerified email at polito.it
Algo CarèUniversity of Brescia, ItalyVerified email at unibs.it
Andrea Lecchini VisintiniUniversity of SouthamptonVerified email at soton.ac.uk
Balázs Csanád CsájiSZTAKI: Institute for Computer Science and Control, Budapest, HungaryVerified email at sztaki.hu
Paolo BolzernFull Professor, Politecnico di Milano, ItalyVerified email at polimi.it
P. R. KumarTexas A&M UniversityVerified email at tamu.edu
Matthew R JamesAustralian National UniversityVerified email at anu.edu.au
Su Ki OoiSenior Researcher, NICTAVerified email at unimelb.edu.au
Riccardo LeonardiUniversity of Brescia / Dept. of Information EngineeringVerified email at ing.unibs.it
Brian AndersonAustralian National University, Hangzhou Dianzi University, Data61-CSIROVerified email at anu.edu.au
Fabio BaronioUniversità degli Studi di BresciaVerified email at ing.unibs.it
Joao HespanhaProfessor of Electrical and Computer Engineering, University of California at Santa BarbaraVerified email at ece.ucsb.edu
Mathukumalli VidyasagarSERB National Science Chair, Indian Institute of Technology HyderabadVerified email at iith.ac.in

Marco C. Campi

University of Brescia, professor

Verified email at unibs.it - Homepage

stochastic optimization randomized algorithms control system identification learning


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The scenario approach to robust control design GC Calafiore, MC Campi IEEE Transactions on automatic control 51 (5), 742-753, 2006	1260	2006
Virtual reference feedback tuning: a direct method for the design of feedback controllers MC Campi, A Lecchini, SM Savaresi Automatica 38 (8), 1337-1346, 2002	1244	2002
Uncertain convex programs: randomized solutions and confidence levels G Calafiore, MC Campi Mathematical Programming 102, 25-46, 2005	894	2005
The exact feasibility of randomized solutions of uncertain convex programs MC Campi, S Garatti SIAM Journal on Optimization 19 (3), 1211-1230, 2008	635	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	446	2011
The scenario approach for systems and control design MC Campi, S Garatti, M Prandini Annual Reviews in Control 33 (2), 149-157, 2009	443	2009
Direct nonlinear control design: The virtual reference feedback tuning (VRFT) approach MC Campi, SM Savaresi IEEE Transactions on Automatic Control 51 (1), 14-27, 2006	318	2006
Virtual reference feedback tuning for two degree of freedom controllers A Lecchini, MC Campi, SM Savaresi International Journal of Adaptive Control and Signal Processing 16 (5), 355-371, 2002	182	2002
Wait-and-judge scenario optimization MC Campi, S Garatti Mathematical Programming 167, 155-189, 2018	161	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	142	2018
Interval predictor models: Identification and reliability MC Campi, G Calafiore, S Garatti Automatica 45 (2), 382-392, 2009	125	2009
Adaptive control of linear time invariant systems: the “bet on the best” principle S Bittanti, MC Campi	125	2006
Guaranteed non-asymptotic confidence regions in system identification MC Campi, E Weyer Automatica 41 (10), 1751-1764, 2005	123	2005
Convergence and exponential convergence of identification algorithms with directional forgetting factor S Bittanti, P Bolzern, M Campi Automatica 26 (5), 929-932, 1990	120	1990
An application of the virtual reference feedback tuning method to a benchmark problem MC Campi, A Lecchini, SM Savaresi European Journal of Control 9 (1), 66-76, 2003	119	2003
Finite sample properties of system identification methods MC Campi, E Weyer IEEE Transactions on Automatic Control 47 (8), 1329-1334, 2002	119	2002
Modulating robustness in control design: Principles and algorithms S Garatti, MC Campi IEEE Control Systems Magazine 33 (2), 36-51, 2013	98	2013
Virtual Reference Feedback Tuning (VRFT): a new direct approach to the design of feedback controllers MC Campi, A Lecchini, SM Savaresi Proceedings of the 39th IEEE conference on decision and control (Cat. No …, 2000	95	2000
Adaptive linear quadratic gaussian control: the cost-biased approach revisited MC Campi, PR Kumar SIAM Journal on Control and Optimization 36 (6), 1890-1907, 1998	95	1998
Introduction to the scenario approach MC Campi, S Garatti Society for Industrial and Applied Mathematics, 2018	85	2018

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