Marco C. Campi

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Simone GarattiPolitecnico di Milano - Dipartimento di Elettronica, Informazione e BioingegneriaEmail yang diverifikasi di polimi.it
Sergio BittantiPolitecnico di Milano - Dipartimento di Elettronica, Informazione e BioingegneriaEmail yang diverifikasi di polimi.it
Sergio Matteo Savaresipolitecnico milanoEmail yang diverifikasi di polimi.it
Algo CarèUniversity of Brescia, ItalyEmail yang diverifikasi di unibs.it
Giuseppe Carlo CalafioreFull Professor (Professore Ordinario), Politecnico di TorinoEmail yang diverifikasi di polito.it
Andrea Lecchini VisintiniUniversity of SouthamptonEmail yang diverifikasi di soton.ac.uk
Balázs Csanád CsájiSZTAKI: Institute for Computer Science and Control, Budapest, HungaryEmail yang diverifikasi di sztaki.hu
Paolo BolzernFull Professor, Politecnico di Milano, ItalyEmail yang diverifikasi di polimi.it
P. R. KumarTexas A&M UniversityEmail yang diverifikasi di tamu.edu
Matthew R JamesAustralian National UniversityEmail yang diverifikasi di anu.edu.au
Su Ki OoiSenior Researcher, NICTAEmail yang diverifikasi di unimelb.edu.au
Riccardo LeonardiUniversity of Brescia / Dept. of Information EngineeringEmail yang diverifikasi di ing.unibs.it
Brian AndersonAustralian National UniversityEmail yang diverifikasi di anu.edu.au
Fabio BaronioUniversità degli Studi di BresciaEmail yang diverifikasi di ing.unibs.it
Mathukumalli VidyasagarSERB National Science Chair, Indian Institute of Technology HyderabadEmail yang diverifikasi di iith.ac.in

Ikuti

Marco C. Campi

University of Brescia, professor

Email yang diverifikasi di unibs.it - Beranda

stochastic optimization randomized algorithms control system identification learning


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
The scenario approach to robust control design GC Calafiore, MC Campi IEEE Transactions on automatic control 51 (5), 742-753, 2006	1406	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	1376	2002
Uncertain convex programs: randomized solutions and confidence levels G Calafiore, MC Campi Mathematical programming 102, 25-46, 2005	942	2005
The exact feasibility of randomized solutions of uncertain convex programs MC Campi, S Garatti SIAM Journal on Optimization 19 (3), 1211-1230, 2008	705	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	514	2011
The scenario approach for systems and control design MC Campi, S Garatti, M Prandini Annual Reviews in Control 33 (2), 149-157, 2009	502	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	346	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	196	2002
Wait-and-judge scenario optimization MC Campi, S Garatti Mathematical Programming 167, 155-189, 2018	192	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	189	2018
Interval predictor models: Identification and reliability MC Campi, G Calafiore, S Garatti Automatica 45 (2), 382-392, 2009	143	2009
Finite sample properties of system identification methods MC Campi, E Weyer IEEE Transactions on Automatic Control 47 (8), 1329-1334, 2002	142	2002
Adaptive control of linear time invariant systems: the “bet on the best” principle S Bittanti, MC Campi	137	2006
Guaranteed non-asymptotic confidence regions in system identification MC Campi, E Weyer Automatica 41 (10), 1751-1764, 2005	133	2005
Convergence and exponential convergence of identification algorithms with directional forgetting factor S Bittanti, P Bolzern, M Campi Automatica 26 (5), 929-932, 1990	127	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	123	2003
Introduction to the scenario approach MC Campi, S Garatti Society for Industrial and Applied Mathematics, 2018	119	2018
Modulating robustness in control design: Principles and algorithms S Garatti, MC Campi IEEE Control Systems Magazine 33 (2), 36-51, 2013	106	2013
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	104	1998
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	100	2000

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