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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
2442011
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
1332016
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
1132009
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
872011
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
Detection and isolation of replay attacks through sensor watermarking
RMG Ferrari, AMH Teixeira
IFAC-PapersOnLine 50 (1), 7363-7368, 2017
572017
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
492020
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
412008
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
392013
Detection and isolation of routing attacks through sensor watermarking
RMG Ferrari, AMH Teixeira
2017 American Control Conference (ACC), 5436-5442, 2017
312017
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
312007
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
282020
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
272020
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
262021
Attack detection and estimation in cooperative vehicles platoons: A sliding mode observer approach
N Jahanshahi, RMG Ferrari
IFAC-PapersOnLine 51 (23), 212-217, 2018
242018
Distributed fault diagnosis with overlapping decompositions and consensus filters
RMG Ferrari, T Parisini, MM Polycarpou
2007 American Control Conference, 693-698, 2007
232007
Optimal topology for distributed fault detection of large-scale systems
F Boem, RMG Ferrari, T Parisini, MM Polycarpou
IFAC-PapersOnLine 48 (21), 60-65, 2015
222015
A Distributed Fault Detection Methodology for a Class of Large-scale Uncertain Input-output Discrete-Time Nonlinear Systems
F Boem, RMG Ferrari, T Parisini, MM Polycarpou
2011 Conference on Decision and Control, Orlando, USA, December 12–15, 2011, 2011
202011
Detection of sensor data injection attacks with multiplicative watermarking
AMH Teixeira, RMG Ferrari
2018 European Control Conference (ECC), 338-343, 2018
192018
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
182019
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