Matteo Scandella

About Matteo Scandella

Matteo Scandella, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at Imperial College London, specializes in the field of System identification, Fault Diagnosis.

His recent articles reflect a diverse array of research interests and contributions to the field:

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

Kernel-Based Identification of Incrementally Input-to-State Stable Nonlinear Systems

Traffic-light control in urban environment exploiting drivers’ reaction to the expected red lights duration

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

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

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

Evaluation of robust sensors placement schemes for leaks isolation in water distribution networks

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

Matteo Scandella Information

University

Position

Research Associate

Citations(all)

153

Citations(since 2020)

150

Cited By

56

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

7

i10Index(since 2020)

7

Email

University Profile Page

Google Scholar

Matteo Scandella Skills & Research Interests

System identification

Fault Diagnosis

Top articles of Matteo Scandella

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

2023/12/13

Kernel-Based Identification of Incrementally Input-to-State Stable Nonlinear Systems

IFAC-PapersOnLine

2023/1/1

Traffic-light control in urban environment exploiting drivers’ reaction to the expected red lights duration

Transportation research part C: emerging technologies

2022/12/1

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

Automatica

2022/8/1

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

2022/7/12

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

International Journal of Control

2022/6/3

Evaluation of robust sensors placement schemes for leaks isolation in water distribution networks

IFAC-PapersOnLine

2022/1/1

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

2021/12/14

Nonparametric continuous-time identification of linear systems: theory, implementation and experimental results

IFAC-PapersOnLine

2021/1/1

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

2020/7/31

Enhanced kernels for nonparametric identification of a class of nonlinear systems

2020/5/12

A note on the numerical solutions of kernel-based learning problems

IEEE Transactions on Automatic Control

2020/4/23

Data on the first endurance activity of a Brushless DC motor for aerospace applications

Data in brief

2020/4/1

KBERG: A MatLab toolbox for nonlinear kernel-based regularization and system identification

IFAC-PapersOnLine

2020/1/1

Mechatronics applications of condition monitoring using a statistical change detection method

IFAC-PapersOnLine

2020/1/1

See List of Professors in Matteo Scandella University(Imperial College London)

Co-Authors

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