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Riccardo M. G. Ferrari
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2020 – today
- 2024
- [j14]Atindriyo Kusumo Pamososuryo, Sebastiaan Paul Mulders, Riccardo M. G. Ferrari, Jan-Willem van Wingerden:
On the Analysis and Synthesis of Wind Turbine Side-Side Tower Load Control via Demodulation. IEEE Trans. Control. Syst. Technol. 32(5): 1865-1880 (2024) - [c32]Yang Wang, Riccardo M. G. Ferrari, Michel Verhaegen:
Concurrent Li-ion Battery Parameter Estimation and Open-Circuit Voltage Reconstruction via L1-Regularized Least Squares. ECC 2024: 3551-3556 - 2023
- [j13]Twan Keijzer, Riccardo M. G. Ferrari, Henrik Sandberg:
Secure State Estimation Under Actuator and Sensor Attacks Using Sliding Mode Observers. IEEE Control. Syst. Lett. 7: 2071-2076 (2023) - [c31]Jiaxuan Zhang, Alexander J. Gallo, Riccardo M. G. Ferrari:
Hybrid Design of Multiplicative Watermarking for Defense Against Malicious Parameter Identification. CDC 2023: 3858-3863 - [i31]Atindriyo Kusumo Pamososuryo, Sebastiaan Paul Mulders, Riccardo M. G. Ferrari, Jan-Willem van Wingerden:
On the Analysis and Synthesis of Wind Turbine Side-Side Tower Load Control via Demodulation. CoRR abs/2309.01633 (2023) - [i30]Jiaxuan Zhang, Alexander J. Gallo, Riccardo M. G. Ferrari:
Hybrid Design of Multiplicative Watermarking for Defense Against Malicious Parameter Identification. CoRR abs/2309.02385 (2023) - [i29]Tushar Desai, Riccardo M. G. Ferrari:
Separating multiscale Battery dynamics and predicting multi-step ahead voltage simultaneously through a data-driven approach. CoRR abs/2310.14289 (2023) - [i28]Tushar Desai, Federico Oliva, Riccardo M. G. Ferrari, Daniele Carnevale:
Real-time Battery State of Charge and parameters estimation through Multi-Rate Moving Horizon Estimator. CoRR abs/2310.14332 (2023) - 2022
- [j12]Twan Keijzer, Riccardo M. G. Ferrari:
Threshold design for fault detection with first order sliding mode observers. Autom. 146: 110600 (2022) - [j11]Yichao Liu, Atindriyo Kusumo Pamososuryo, Riccardo M. G. Ferrari, Jan-Willem van Wingerden:
The Immersion and Invariance Wind Speed Estimator Revisited and New Results. IEEE Control. Syst. Lett. 6: 361-366 (2022) - [j10]Yichao Liu, Atindriyo Kusumo Pamososuryo, Sebastiaan Paul Mulders, Riccardo M. G. Ferrari, Jan-Willem van Wingerden:
The Proportional Integral Notch and Coleman Blade Effective Wind Speed Estimators and Their Similarities. IEEE Control. Syst. Lett. 6: 2198-2203 (2022) - [c30]Jean Gonzalez Silva, Daan C. van der Hoek, Sebastiaan Paul Mulders, Riccardo M. G. Ferrari, Jan-Willem van Wingerden:
A Switching Thrust Tracking Controller for Load Constrained Wind Turbines. ACC 2022: 4230-4235 - [c29]Atindriyo Kusumo Pamososuryo, Sebastiaan Paul Mulders, Riccardo M. G. Ferrari, Jan-Willem van Wingerden:
Periodic Load Estimation of a Wind Turbine Tower using a Model Demodulation Transformation. ACC 2022: 5271-5276 - [c28]T. R. de Jager, N. K. Meinders, T. A. van Vugt, Wouter Zomerdijk, Riccardo M. G. Ferrari:
Autonomous RC Cars for Control Research and Education: Implementation of Virtual Potential Based Navigation and Platooning. CCTA 2022: 504-509 - [c27]Zhixin Feng, Alexander J. Gallo, Yichao Liu, Atindriyo Kusumo Pamososuryo, Riccardo M. G. Ferrari, Jan-Willem van Wingerden:
An Economic Model Predictive Control Approach for Load Mitigation on Multiple Tower Locations of Wind Turbines. CDC 2022: 2425-2430 - [c26]Pieter Stobbe, Twan Keijzer, Riccardo M. G. Ferrari:
A Fully Homomorphic Encryption Scheme for Real-Time Safe Control. CDC 2022: 2911-2916 - [c25]Jean Gonzalez Silva, Riccardo M. G. Ferrari, Jan-Willem van Wingerden:
Convex Model Predictive Control for Down-regulation Strategies in Wind Turbines. CDC 2022: 3110-3115 - [c24]Twan Keijzer, Alexander J. Gallo, Riccardo M. G. Ferrari:
Hierarchical Cyber-Attack Detection in Large-Scale Interconnected Systems. CDC 2022: 6134-6139 - [c23]Daan Ratering, W. Bastiaan Kleijn, Jean Gonzalez Silva, Riccardo M. G. Ferrari:
Wave-Domain Approach for Cancelling Noise Entering Open Windows. ICASSP 2022: 911-915 - [c22]Mohamed Baioumy, Corrado Pezzato, Riccardo M. G. Ferrari, Nick Hawes:
Unbiased Active Inference for Classical Control. IROS 2022: 12787-12794 - [i27]Alexander J. Gallo, Riccardo M. G. Ferrari:
Cryptographic switching functions for multiplicative watermarking in cyber-physical systems. CoRR abs/2203.11851 (2022) - [i26]Jean Gonzalez Silva, Daan C. van der Hoek, Sebastiaan Paul Mulders, Riccardo M. G. Ferrari, Jan-Willem van Wingerden:
A Switching Thrust Tracking Controller for Load Constrained Wind Turbines. CoRR abs/2204.05413 (2022) - [i25]Jean Gonzalez Silva, Bart Matthijs Doekemeijer, Riccardo M. G. Ferrari, Jan-Willem van Wingerden:
Active power control of wind farms: an instantaneous approach on waked conditions. CoRR abs/2204.05417 (2022) - [i24]Mohamed Baioumy, William Hartemink, Riccardo M. G. Ferrari, Nick Hawes:
Beta Residuals: Improving Fault-Tolerant Control for Sensory Faults via Bayesian Inference and Precision Learning. CoRR abs/2204.08035 (2022) - [i23]Mohamed Baioumy, Corrado Pezzato, Riccardo M. G. Ferrari, Nick Hawes:
Unbiased Active Inference for Classical Control. CoRR abs/2207.13409 (2022) - [i22]Jean Gonzalez Silva, Riccardo M. G. Ferrari, Jan-Willem van Wingerden:
Convex Model Predictive Control for Down-regulation Strategies in Wind Turbines. CoRR abs/2209.11087 (2022) - [i21]Twan Keijzer, Alexander J. Gallo, Riccardo M. G. Ferrari:
Hierarchical Cyber-Attack Detection in Large-Scale Interconnected Systems. CoRR abs/2209.13874 (2022) - [i20]Pieter Stobbe, Twan Keijzer, Riccardo M. G. Ferrari:
A Fully Homomorphic Encryption Scheme for Real-Time Safe Control. CoRR abs/2209.14207 (2022) - [i19]Zhixin Feng, Alexander J. Gallo, Yichao Liu, Atindriyo Kusumo Pamososuryo, Riccardo M. G. Ferrari, Jan-Willem van Wingerden:
An Economic Model Predictive Control Approach for Load Mitigation on Multiple Tower Locations of Wind Turbines. CoRR abs/2209.14848 (2022) - [i18]Zhixin Feng, Yichao Liu, Riccardo M. G. Ferrari, Jan-Willem van Wingerden:
A control-oriented wind turbine dynamic simulation framework which resolves local atmospheric conditions. CoRR abs/2211.00689 (2022) - 2021
- [j9]Riccardo M. G. Ferrari, André M. H. Teixeira:
A Switching Multiplicative Watermarking Scheme for Detection of Stealthy Cyber-Attacks. IEEE Trans. Autom. Control. 66(6): 2558-2573 (2021) - [j8]Vahab Rostampour, Riccardo M. G. Ferrari, André M. H. Teixeira, Tamás Keviczky:
Privatized Distributed Anomaly Detection for Large-Scale Nonlinear Uncertain Systems. IEEE Trans. Autom. Control. 66(11): 5299-5313 (2021) - [j7]Ping Wu, Riccardo M. G. Ferrari, Yichao Liu, Jan-Willem van Wingerden:
Data-Driven Incipient Fault Detection via Canonical Variate Dissimilarity and Mixed Kernel Principal Component Analysis. IEEE Trans. Ind. Informatics 17(8): 5380-5390 (2021) - [c21]Yichao Liu, Riccardo M. G. Ferrari, Jan-Willem van Wingerden:
Periodic Load Rejection for Floating Offshore Wind Turbines via Constrained Subspace Predictive Repetitive Control. ACC 2021: 539-544 - [c20]Alexander J. Gallo, Sribalaji Coimbatore Anand, André M. H. Teixeira, Riccardo M. G. Ferrari:
Design of multiplicative watermarking against covert attacks. CDC 2021: 4176-4181 - [c19]Twan Keijzer, Fabian Jarmolowitz, Riccardo M. G. Ferrari:
Detection of Cyber-Attacks in Collaborative Intersection Control. ECC 2021: 62-67 - [c18]Twan Keijzer, Riccardo M. G. Ferrari:
Detection of Network and Sensor Cyber-Attacks in Platoons of Cooperative Autonomous Vehicles: a Sliding-Mode Observer Approach. ECC 2021: 515-520 - [c17]Mohamed Baioumy, Corrado Pezzato, Riccardo M. G. Ferrari, Carlos Hernández Corbato, Nick Hawes:
Fault-tolerant Control of Robot Manipulators with Sensory Faults using Unbiased Active Inference. ECC 2021: 1119-1125 - [c16]Yichao Liu, Atindriyo Kusumo Pamososuryo, Riccardo M. G. Ferrari, Tobias Gybel Hovgaard, Jan-Willem van Wingerden:
Blade Effective Wind Speed Estimation: A Subspace Predictive Repetitive Estimator Approach. ECC 2021: 1205-1210 - [c15]Jean Gonzalez Silva, Bart M. Doekemeijer, Riccardo M. G. Ferrari, Jan-Willem van Wingerden:
Active Power Control of Waked Wind Farms: Compensation of Turbine Saturation and Thrust Force Balance. ECC 2021: 1223-1228 - [c14]Mohamed Baioumy, Corrado Pezzato, Carlos Hernández Corbato, Nick Hawes, Riccardo M. G. Ferrari:
Towards Stochastic Fault-Tolerant Control Using Precision Learning and Active Inference. PKDD/ECML Workshops (1) 2021: 681-691 - [i17]Mohamed Baioumy, Corrado Pezzato, Riccardo M. G. Ferrari, Carlos Hernández Corbato, Nick Hawes:
Fault-tolerant Control of Robot Manipulators with Sensory Faults using Unbiased Active Inference. CoRR abs/2104.01817 (2021) - [i16]Yichao Liu, Atindriyo Kusumo Pamososuryo, Riccardo M. G. Ferrari, Tobias Gybel Hovgaard, Jan-Willem van Wingerden:
Blade Effective Wind Speed Estimation: A Subspace Predictive Repetitive Estimator Approach. CoRR abs/2104.03185 (2021) - [i15]Paula Chanfreut, Twan Keijzer, Riccardo M. G. Ferrari, Jose Maria Maestre:
A Topology-Switching Coalitional Control and Observation Scheme with Stability Guarantees. CoRR abs/2104.03787 (2021) - [i14]Twan Keijzer, Riccardo M. G. Ferrari:
Detection of Network and Sensor Cyber-Attacks in Platoons of Cooperative Autonomous Vehicles: a Sliding-Mode Observer Approach. CoRR abs/2104.03798 (2021) - [i13]Twan Keijzer, Fabian Jarmolowitz, Riccardo M. G. Ferrari:
Detection of Cyber-Attacks in Collaborative Intersection Control. CoRR abs/2104.03801 (2021) - [i12]Jean Gonzalez Silva, Bart M. Doekemeijer, Riccardo M. G. Ferrari, Jan-Willem van Wingerden:
Active Power Control of Waked Wind Farms: Compensation of Turbine Saturation and Thrust Force Balance. CoRR abs/2104.03894 (2021) - [i11]Yichao Liu, Riccardo M. G. Ferrari, Jan-Willem van Wingerden:
Periodic Load Rejection for Floating Offshore Wind Turbines via Constrained Subspace Predictive Repetitive Control. CoRR abs/2104.04250 (2021) - [i10]Yichao Liu, Atindriyo Kusumo Pamososuryo, Riccardo M. G. Ferrari, Jan-Willem van Wingerden:
The Immersion and Invariance Wind Speed Estimator Revisited and New Results. CoRR abs/2104.07696 (2021) - [i9]Mohamed Baioumy, Corrado Pezzato, Carlos Hernández Corbato, Nick Hawes, Riccardo M. G. Ferrari:
Towards Stochastic Fault-tolerant Control using Precision Learning and Active Inference. CoRR abs/2109.05870 (2021) - [i8]Alexander J. Gallo, Sribalaji Coimbatore Anand, André M. H. Teixeira, Riccardo M. G. Ferrari:
Design of multiplicative watermarking against covert attacks. CoRR abs/2110.00555 (2021) - [i7]Yichao Liu, Atindriyo Kusumo Pamososuryo, Sebastiaan Paul Mulders, Riccardo M. G. Ferrari, Jan-Willem van Wingerden:
The Proportional Integral Notch and Coleman Blade Effective Wind Speed Estimators and Their Similarities. CoRR abs/2110.00639 (2021) - 2020
- [j6]Corrado Pezzato, Riccardo M. G. Ferrari, Carlos Hernández Corbato:
A Novel Adaptive Controller for Robot Manipulators Based on Active Inference. IEEE Robotics Autom. Lett. 5(2): 2973-2980 (2020) - [c13]Yichao Liu, Joeri Frederik, Alessandro Fontanella, Riccardo M. G. Ferrari, Jan-Willem van Wingerden:
Adaptive fault accommodation of pitch actuator stuck type of fault in floating offshore wind turbines: a subspace predictive repetitive control approach. ACC 2020: 4077-4082 - [c12]Corrado Pezzato, Mohamed Baioumy, Carlos Hernández Corbato, Nick Hawes, Martijn Wisse, Riccardo M. G. Ferrari:
Active Inference for Fault Tolerant Control of Robot Manipulators with Sensory Faults. IWAI 2020: 20-27 - [i6]Yichao Liu, Alessandro Fontanella, Ping Wu, Riccardo M. G. Ferrari, Jan-Willem van Wingerden:
Fault Detection of the Mooring system in Floating Offshore Wind Turbines based on the Wave-excited Linear Model. CoRR abs/2006.16024 (2020) - [i5]Yichao Liu, Riccardo M. G. Ferrari, Ping Wu, Xiaoli Jiang, Sunwei Li, Jan-Willem van Wingerden:
Fault Diagnosis of the 10MW Floating Offshore Wind Turbine Benchmark: a Mixed Model and Signal-based Approach. CoRR abs/2007.01708 (2020) - [i4]Yichao Liu, Ping Wu, Riccardo M. G. Ferrari, Jan-Willem van Wingerden:
Fast Adaptive Fault Accommodation in Floating Offshore Wind Turbines via Model-Based Fault Diagnosis and Subspace Predictive Repetitive Control. CoRR abs/2011.01855 (2020) - [i3]Yichao Liu, Joeri Frederik, Riccardo M. G. Ferrari, Ping Wu, Sunwei Li, Jan-Willem van Wingerden:
Fault-Tolerant Individual Pitch Control of Floating Offshore Wind Turbines via Subspace Predictive Repetitive Control. CoRR abs/2011.02563 (2020)
2010 – 2019
- 2019
- [c11]Twan Keijzer, Riccardo M. G. Ferrari:
A Sliding Mode Observer Approach for Attack Detection and Estimation in Autonomous Vehicle Platoons using Event Triggered Communication. CDC 2019: 5742-5747 - [i2]Corrado Pezzato, Riccardo M. G. Ferrari, Carlos Hernandez:
A Novel Adaptive Controller for Robot Manipulators based on Active Inference. CoRR abs/1909.12768 (2019) - [i1]Twan Keijzer, Riccardo M. G. Ferrari:
A Sliding Mode Observer Approach for Attack Detection and Estimation in Autonomous Vehicle Platoons using Event Triggered Communication. CoRR abs/1911.00374 (2019) - 2018
- [c10]André M. H. Teixeira, Riccardo M. G. Ferrari:
Detection of Sensor Data Injection Attacks with Multiplicative Watermarking. ECC 2018: 338-343 - 2017
- [j5]Francesca Boem, Riccardo M. G. Ferrari, Christodoulos Keliris, Thomas Parisini, Marios M. Polycarpou:
A Distributed Networked Approach for Fault Detection of Large-Scale Systems. IEEE Trans. Autom. Control. 62(1): 18-33 (2017) - [c9]Vahab Rostampour, Riccardo M. G. Ferrari, Tamás Keviczky:
A set based probabilistic approach to threshold design for optimal fault detection. ACC 2017: 5422-5429 - [c8]Riccardo M. G. Ferrari, André M. H. Teixeira:
Detection and isolation of routing attacks through sensor watermarking. ACC 2017: 5436-5442 - 2013
- [j4]Francesca Boem, Riccardo M. G. Ferrari, Thomas Parisini, Marios M. Polycarpou:
Distributed fault diagnosis for continuous-time nonlinear systems: The input-output case. Annu. Rev. Control. 37(1): 163-169 (2013) - [c7]Francesca Boem, Riccardo M. G. Ferrari, Thomas Parisini, Marios M. Polycarpou:
Distributed fault detection for uncertain nonlinear systems: A network delay compensation strategy. ACC 2013: 3549-3554 - [c6]Riccardo M. G. Ferrari, Thomas Parisini, Marios M. Polycarpou:
An algebraic approach for robust fault detection of input-output elastodynamic distributed parameter systems. ECC 2013: 2445-2452 - 2012
- [j3]Riccardo M. G. Ferrari, Thomas Parisini, Marios M. Polycarpou:
Distributed Fault Detection and Isolation of Large-Scale Discrete-Time Nonlinear Systems: An Adaptive Approximation Approach. IEEE Trans. Autom. Control. 57(2): 275-290 (2012) - 2011
- [j2]Francesca Boem, Thomas Parisini, Riccardo M. G. Ferrari:
Distributed Fault Detection and Isolation of Continuous-Time Non-Linear Systems. Eur. J. Control 17(5-6): 603-620 (2011) - [c5]Francesca Boem, Riccardo M. G. Ferrari, Thomas Parisini, Marios M. Polycarpou:
A distributed fault detection methodology for a class of large-scale uncertain input-output discrete-time nonlinear systems. CDC/ECC 2011: 897-902 - 2010
- [c4]Riccardo M. G. Ferrari, Thomas Parisini, Marios M. Polycarpou:
Distributed fault diagnosis of large-scale discrete-time nonlinear systems: New results on the isolation problem. CDC 2010: 1619-1626
2000 – 2009
- 2009
- [j1]Riccardo M. G. Ferrari, Thomas Parisini, Marios M. Polycarpou:
Distributed Fault Diagnosis With Overlapping Decompositions: An Adaptive Approximation Approach. IEEE Trans. Autom. Control. 54(4): 794-799 (2009) - 2008
- [c3]Riccardo M. G. Ferrari, Thomas Parisini, Marios M. Polycarpou:
A robust fault detection and isolation scheme for a class of uncertain input-output discrete-time nonlinear systems. ACC 2008: 2804-2809 - 2007
- [c2]Riccardo M. G. Ferrari, Thomas Parisini, Marios M. Polycarpou:
Distributed fault diagnosis with overlapping decompositions and consensus filters. ACC 2007: 693-698 - [c1]Riccardo M. G. Ferrari, Thomas Parisini, Marios M. Polycarpou:
A fault detection and isolation scheme for nonlinear uncertain discrete-time systems. CDC 2007: 1009-1014
Coauthor Index
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last updated on 2024-10-07 21:22 CEST by the dblp team
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