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Matteo Scandella
Matteo Scandella
Research Associate, Imperial College London
Email verificata su imperial.ac.uk
Titolo
Citata da
Citata da
Anno
Experimental Development of a Health Monitoring Method for Electro-Mechanical Actuators of Flight Control Primary Surfaces in More Electric Aircrafts
M Mazzoleni, F Previdi, M Scandella, G Pispola
IEEE Access 7, 153618-153634, 2019
272019
Kernel-based identification of asymptotically stable continuous-time linear dynamical systems
M Scandella, M Mazzoleni, S Formentin, F Previdi
International Journal of Control 95 (6), 1668-1681, 2022
172022
Nonlinear system identification via data augmentation
S Formentin, M Mazzoleni, M Scandella, F Previdi
Systems & Control Letters 128, 56-63, 2019
172019
Condition monitoring of electro-mechanical actuators for aerospace using batch change detection algorithms
M Mazzoleni, M Scandella, Y Maccarana, F Previdi, G Pispola, N Porzi
2018 IEEE Conference on Control Technology and Applications (CCTA), 1747-1752, 2018
132018
A note on the numerical solutions of kernel-based learning problems
M Scandella, M Mazzoleni, S Formentin, F Previdi
IEEE Transactions on Automatic Control 66 (2), 940-947, 2020
112020
Semi-supervised learning of dynamical systems: a preliminary study
M Mazzoleni, S Formentin, M Scandella, F Previdi
2018 European Control Conference (ECC), 2824-2829, 2018
112018
Development and Experimental Testing of a Health Monitoring System of Electro-Mechanical Actuators for Small Airplanes
F Previdi, Y Maccarana, M Mazzoleni, M Scandella, G Pispola, N Porzi
2018 26th Mediterranean Conference on Control and Automation (MED), 673-678, 2018
102018
Identification of nonlinear dynamical system with synthetic data: a preliminary investigation
M Mazzoleni, M Scandella, S Formentin, F Previdi
IFAC-PapersOnLine 51 (15), 622-627, 2018
92018
Condition assessment of electro-mechanical actuators for aerospace using relative density-ratio estimation
M Mazzoleni, M Scandella, Y Maccarana, F Previdi, G Pispola, N Porzi
IFAC-PapersOnLine 51 (15), 957-962, 2018
82018
A comparison of manifold regularization approaches for kernel-based system identification
M Mazzoleni, M Scandella, F Previdi
IFAC-PapersOnLine 52 (29), 180-185, 2019
62019
Kernel-based system identification with manifold regularization: A Bayesian perspective
M Mazzoleni, A Chiuso, M Scandella, S Formentin, F Previdi
Automatica 142, 110419, 2022
52022
Enhanced kernels for nonparametric identification of a class of nonlinear systems
M Mazzoleni, M Scandella, S Formentin, F Previdi
2020 European Control Conference (ECC), 540-545, 2020
52020
Data on the first endurance activity of a Brushless DC motor for aerospace applications
M Mazzoleni, M Scandella, F Previdi, G Pispola
Data in brief 29, 105153, 2020
52020
Mechatronics applications of condition monitoring using a statistical change detection method
M Mazzoleni, M Scandella, L Maurelli, F Previdi
IFAC-PapersOnLine 53 (2), 92-97, 2020
52020
Classification of Light Charged Particles Via Learning-Based System Identification
M Mazzoleni, M Scandella, S Formentin, F Previdi
2018 IEEE Conference on Decision and Control (CDC), 6053-6058, 2018
42018
KBERG: A MatLab toolbox for nonlinear kernel-based regularization and system identification
M Mazzoleni, M Scandella, F Previdi
IFAC-PapersOnLine 53 (2), 1231-1236, 2020
32020
Nonparametric continuous-time identification of linear systems: theory, implementation and experimental results
M Mazzoleni, M Scandella, S Formentin, F Previdi
IFAC-PapersOnLine 54 (20), 699-704, 2021
22021
Black-box continuous-time transfer function estimation with stability guarantees: a kernel-based approach
M Mazzoleni, M Scandella, S Formentin, F Previdi
Learning for Dynamics and Control, 267-276, 2020
22020
Kernel-Based Identification of Incrementally Input-to-State Stable Nonlinear Systems
M Scandella, M Bin, T Parisini
IFAC-PapersOnLine 56 (2), 5127-5132, 2023
12023
Traffic-light control in urban environment exploiting drivers’ reaction to the expected red lights duration
M Scandella, A Ghosh, M Bin, T Parisini
Transportation Research Part C: Emerging Technologies 145, 103910, 2022
12022
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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