Matteo Scandella

According to our database, Matteo Scandella authored at least 17 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Kernel-Based Learning of Stable Nonlinear Systems.

Matteo Scandella, Michelangelo Bin, Thomas Parisini

CoRR, 2024

Automated Data-Driven Tuning of Learning-Based Model Predictive Control (SelfMPC): A Maximum-Likelihood Approach.

Guitao Yang, Matteo Scandella, Simone Formentin, Thomas Parisini

Proceedings of the European Control Conference, 2024

Nonlinear Data-Driven Moment Matching in Reproducing Kernel Hilbert Spaces.

Alessio Moreschini, Matteo Scandella, Thomas Parisini

Proceedings of the European Control Conference, 2024

2023

Kernel-Based Continuous-Time System Identification: A Parametric Approximation.

Matteo Scandella, Alessio Moreschini, Thomas Parisini

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Kernel-based identification of asymptotically stable continuous-time linear dynamical systems.

Matteo Scandella, Mirko Mazzoleni, Simone Formentin, Fabio Previdi

Int. J. Control, 2022

Kernel-based system identification with manifold regularization: A Bayesian perspective.

Mirko Mazzoleni, Alessandro Chiuso, Matteo Scandella, Simone Formentin, Fabio Previdi

Autom., 2022

Group-Based Dimensionality Reduction and Estimation for Heterogeneous Large-Scale Traffic Networks.

Matteo Scandella, Michelangelo Bin, Thomas Parisini

Proceedings of the European Control Conference, 2022

2021

A Note on the Numerical Solutions of Kernel-Based Learning Problems.

Matteo Scandella, Mirko Mazzoleni, Simone Formentin, Fabio Previdi

IEEE Trans. Autom. Control., 2021

Traffic-Light Control at Urban Intersections Using Expected Waiting-Time Information.

Arnob Ghosh, Matteo Scandella, Michelangelo Bin, Thomas Parisini

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Black-box continuous-time transfer function estimation with stability guarantees: a kernel-based approach.

Mirko Mazzoleni, Matteo Scandella, Simone Formentin, Fabio Previdi

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Enhanced kernels for nonparametric identification of a class of nonlinear systems.

Mirko Mazzoleni, Matteo Scandella, Simone Formentin, Fabio Previdi

Proceedings of the 18th European Control Conference, 2020

2019

Nonlinear system identification via data augmentation.

Simone Formentin, Mirko Mazzoleni, Matteo Scandella, Fabio Previdi

Syst. Control. Lett., 2019

Experimental Development of a Health Monitoring Method for Electro-Mechanical Actuators of Flight Control Primary Surfaces in More Electric Aircrafts.

Mirko Mazzoleni, Fabio Previdi, Matteo Scandella, Giulio Pispola

IEEE Access, 2019

2018

Development and Experimental Testing of a Health Monitoring System of Electro-Mechanical Actuators for Small Airplanes.

Fabio Previdi, Yamuna Maccarana, Mirko Mazzoleni, Matteo Scandella, Giulio Pispola, Nicola Porzi

Proceedings of the 26th Mediterranean Conference on Control and Automation, 2018

Semi-supervised learning of dynamical systems: a preliminary study.

Mirko Mazzoleni, Simone Formentin, Matteo Scandella, Fabio Previdi

Proceedings of the 16th European Control Conference, 2018

Classification of Light Charged Particles Via Learning-Based System Identification.

Mirko Mazzoleni, Matteo Scandella, Simone Formentin, Fabio Previdi

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Condition Monitoring of Electro-Mechanical Actuators for Aerospace Using Batch Change Detection Algorithms.

Mirko Mazzoleni, Matteo Scandella, Yamuna Maccarana, Fabio Previdi, Giulio Pispola, Nicola Porzi

Proceedings of the IEEE Conference on Control Technology and Applications, 2018