Theo dõi
Marco C. Campi
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
The scenario approach to robust control design
GC Calafiore, MC Campi
IEEE Transactions on automatic control 51 (5), 742-753, 2006
14062006
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
13762002
Uncertain convex programs: randomized solutions and confidence levels
G Calafiore, MC Campi
Mathematical programming 102, 25-46, 2005
9422005
The exact feasibility of randomized solutions of uncertain convex programs
MC Campi, S Garatti
SIAM Journal on Optimization 19 (3), 1211-1230, 2008
7052008
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
5142011
The scenario approach for systems and control design
MC Campi, S Garatti, M Prandini
Annual Reviews in Control 33 (2), 149-157, 2009
5022009
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
3462006
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
1962002
Wait-and-judge scenario optimization
MC Campi, S Garatti
Mathematical Programming 167, 155-189, 2018
1922018
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
1892018
Interval predictor models: Identification and reliability
MC Campi, G Calafiore, S Garatti
Automatica 45 (2), 382-392, 2009
1432009
Finite sample properties of system identification methods
MC Campi, E Weyer
IEEE Transactions on Automatic Control 47 (8), 1329-1334, 2002
1422002
Adaptive control of linear time invariant systems: the “bet on the best” principle
S Bittanti, MC Campi
1372006
Guaranteed non-asymptotic confidence regions in system identification
MC Campi, E Weyer
Automatica 41 (10), 1751-1764, 2005
1332005
Convergence and exponential convergence of identification algorithms with directional forgetting factor
S Bittanti, P Bolzern, M Campi
Automatica 26 (5), 929-932, 1990
1271990
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
1232003
Introduction to the scenario approach
MC Campi, S Garatti
Society for Industrial and Applied Mathematics, 2018
1192018
Modulating robustness in control design: Principles and algorithms
S Garatti, MC Campi
IEEE Control Systems Magazine 33 (2), 36-51, 2013
1062013
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
1041998
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
1002000
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