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Riccardo M.G. Ferrari
Riccardo M.G. Ferrari
Associate Prof. at Delft Center for Systems and Control, Delft University of Technology
Verified email at tudelft.nl - Homepage
Title
Cited by
Cited by
Year
Distributed fault detection and isolation of large-scale discrete-time nonlinear systems: An adaptive approximation approach
RMG Ferrari, T Parisini, MM Polycarpou
IEEE Transactions on Automatic Control 57 (2), 275-290, 2011
2502011
A distributed networked approach for fault detection of large-scale systems
F Boem, RMG Ferrari, C Keliris, T Parisini, MM Polycarpou
IEEE Transactions on Automatic Control 62 (1), 18-33, 2016
1472016
Distributed fault diagnosis with overlapping decompositions: An adaptive approximation approach
RMG Ferrari, T Parisini, MM Polycarpou
IEEE Transactions on Automatic Control 54 (4), 794-799, 2009
1192009
Fault Detection and Isolation of the Wind Turbine Benchmark: an Estimation-based Approach
X Zhang, Q Zhang, S Zhao, R Ferrari, MM Polycarpou, T Parisini
Procs. of 18th IFAC World Congress Milano (Italy) August 28 - September 2 …, 2011
962011
A novel adaptive controller for robot manipulators based on active inference
C Pezzato, R Ferrari, CH Corbato
IEEE Robotics and Automation Letters 5 (2), 2973-2980, 2020
792020
Detection and isolation of replay attacks through sensor watermarking
RMG Ferrari, AMH Teixeira
IFAC-PapersOnLine 50 (1), 7363-7368, 2017
752017
Distributed fault detection and isolation of continuous-time non-linear systems
F Boem, RMG Ferrari, T Parisini
European Journal of Control 17 (5-6), 603-620, 2011
652011
A switching multiplicative watermarking scheme for detection of stealthy cyber-attacks
RMG Ferrari, AMH Teixeira
IEEE Transactions on Automatic Control 66 (6), 2558-2573, 2020
532020
Data-driven incipient fault detection via canonical variate dissimilarity and mixed kernel principal component analysis
P Wu, RMG Ferrari, Y Liu, JW Van Wingerden
IEEE transactions on industrial informatics 17 (8), 5380-5390, 2020
472020
Distributed fault diagnosis for continuous-time nonlinear systems: The input–output case
F Boem, RMG Ferrari, T Parisini, MM Polycarpou
Annual Reviews in Control 37 (1), 163-169, 2013
422013
A robust fault detection and isolation scheme for a class of uncertain input-output discrete-time nonlinear systems
RMG Ferrari, T Parisini, MM Polycarpou
2008 American Control Conference, 2804-2809, 2008
402008
Detection and isolation of routing attacks through sensor watermarking
RMG Ferrari, AMH Teixeira
2017 American Control Conference (ACC), 5436-5442, 2017
392017
Fault diagnosis of the 10MW Floating Offshore Wind Turbine Benchmark: A mixed model and signal-based approach
Y Liu, R Ferrari, P Wu, X Jiang, S Li, JW van Wingerden
Renewable Energy 164, 391-406, 2021
372021
A fault detection and isolation scheme for nonlinear uncertain discrete-time sytems
RMG Ferrari, T Parisini, MM Polycarpou
2007 46th IEEE Conference on Decision and Control, 1009-1014, 2007
322007
Attack detection and estimation in cooperative vehicles platoons: A sliding mode observer approach
N Jahanshahi, RMG Ferrari
IFAC-PapersOnLine 51 (23), 212-217, 2018
302018
A sliding mode observer approach for attack detection and estimation in autonomous vehicle platoons using event triggered communication
T Keijzer, RMG Ferrari
2019 IEEE 58th Conference on Decision and Control (CDC), 5742-5747, 2019
282019
Detection of sensor data injection attacks with multiplicative watermarking
AMH Teixeira, RMG Ferrari
2018 European Control Conference (ECC), 338-343, 2018
242018
A set based probabilistic approach to threshold design for optimal fault detection
V Rostampour, R Ferrari, T Keviczky
2017 American Control Conference (ACC), 5422-5429, 2017
242017
The Immersion and Invariance Wind Speed Estimator Revisited and New Results
JW Liu, Yichao and Pamososuryo, Atindriyo Kusumo and Ferrari, Riccardo M. G ...
IEEE Control Systems Letters 6, 361-366, 2022
23*2022
Distributed fault diagnosis with overlapping decompositions and consensus filters
RMG Ferrari, T Parisini, MM Polycarpou
2007 American Control Conference, 693-698, 2007
232007
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