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Gianluigi Pillonetto

Gianluigi Pillonetto

D-Index & Metrics

Computer Science

D-Index
39
Citations
6599
World Ranking
9752
National Ranking
288

Research.com Recognitions

  • 2021 - IEEE Fellow For contributions to kernel-based linear system identification

Overview

Gianluigi Pillonetto is a researcher affiliated with the University of Padua in Italy. Their academic work primarily spans the field of Engineering, with a strong focus on Control and Systems Engineering. Other subfields of study include Artificial Intelligence, Civil and Structural Engineering, Applied Mathematics, and Statistical and Nonlinear Physics.

Their main research topics include Control Systems and Identification, Fault Detection and Control Systems, Structural Health Monitoring Techniques, Gaussian Processes and Bayesian Inference, Statistical and numerical algorithms, Advanced Control Systems Optimization, and Model Reduction and Neural Networks.

The researcher has contributed to multiple scientific publications across several well-known venues. Frequent publication venues include Automatica, arXiv (Cornell University), IFAC-PapersOnLine, Padua Research Archive (University of Padua), and IEEE Control Systems.

Recent papers by Gianluigi Pillonetto include:

  • Efficient spatio-temporal Gaussian regression via Kalman filtering, 2020, Automatica
  • On the mathematical foundations of stable RKHSs, 2020, Padua Research Archive (University of Padua)
  • Stable and robust LQR design via scenario approach, 2021, Padua Research Archive (University of Padua)
  • Kernel Methods and Gaussian Processes for System Identification and Control: A Road Map on Regularized Kernel-Based Learning for Control, 2023, IEEE Control Systems
  • Kernel Absolute Summability Is Sufficient but Not Necessary for RKHS Stability, 2020, SIAM Journal on Control and Optimization

Gianluigi Pillonetto frequently collaborates with several co-authors. Among the most common are Mauro Bisiacco, Anna Scampicchio, Alessandro Chiuso, Tianshi Chen, and Giuseppe De Nicolao.

In recognition of contributions to kernel-based linear system identification, Gianluigi Pillonetto was named IEEE Fellow in 2021.

Best Publications

  • Survey Kernel methods in system identification, machine learning and function estimation: A survey

    Gianluigi Pillonetto;Francesco Dinuzzo;Tianshi Chen;Giuseppe De Nicolao

  • A new kernel-based approach for linear system identification

    Gianluigi Pillonetto;Giuseppe De Nicolao

  • Prediction error identification of linear systems: A nonparametric Gaussian regression approach

    Gianluigi Pillonetto;Alessandro Chiuso;Giuseppe De Nicolao

  • Newton-Raphson Consensus for Distributed Convex Optimization

    Damiano Varagnolo;Filippo Zanella;Angelo Cenedese;Gianluigi Pillonetto

  • Sensing, Compression, and Recovery for WSNs: Sparse Signal Modeling and Monitoring Framework

    G. Quer;R. Masiero;G. Pillonetto;M. Rossi

  • A Bayesian approach to sparse dynamic network identification

    Alessandro Chiuso;Gianluigi Pillonetto

  • System Identification Via Sparse Multiple Kernel-Based Regularization Using Sequential Convex Optimization Techniques

    Tianshi Chen;Martin S. Andersen;Lennart Ljung;Alessandro Chiuso

  • Generalized Kalman smoothing: Modeling and algorithms

    Aleksandr Y. Aravkin;James V. Burke;Lennart Ljung;Aurelie C. Lozano

  • A New Kernel-Based Approach for NonlinearSystem Identification

    G. Pillonetto;Minh Ha Quang;A. Chiuso

  • System Identification: A Machine Learning Perspective

    A. Chiuso;G. Pillonetto

  • Tuning complexity in regularized kernel-based regression and linear system identification

    Gianluigi Pillonetto;Alessandro Chiuso

  • Newton-Raphson consensus for distributed convex optimization

    Filippo Zanella;Damiano Varagnolo;Angelo Cenedese;Gianluigi Pillonetto

  • An $ll _{1}$ -Laplace Robust Kalman Smoother

    A. Y. Aravkin;B. M. Bell;J. V. Burke;G. Pillonetto

  • Motion planning using adaptive random walks

    S. Carpin;G. Pillonetto

  • Numerical non-identifiability regions of the minimal model of glucose kinetics: superiority of Bayesian estimation.

    Gianluigi Pillonetto;Giovanni Sparacino;Claudio Cobelli

  • Learning Output Kernels with Block Coordinate Descent

    Francesco Dinuzzo;Cheng S. Ong;Gianluigi Pillonetto;Peter V. Gehler

  • Bayesian Online Multitask Learning of Gaussian Processes

    G. Pillonetto;F. Dinuzzo;G. De Nicolao

  • Regularized estimation of sums of exponentials in spaces generated by stable spline kernels

    Gianluigi Pillonetto;Alessandro Chiuso;Giuseppe De Nicolao

  • An inequality constrained nonlinear Kalman-Bucy smoother by interior point likelihood maximization

    Bradley M. Bell;James V. Burke;Gianluigi Pillonetto

  • Sparse/robust estimation and Kalman smoothing with nonsmooth log-concave densities: modeling, computation, and theory

    Aleksandr Y. Aravkin;James V. Burke;Gianluigi Pillonetto

Frequent Co-Authors

Alessandro Chiuso
Alessandro Chiuso University of Padua
James V. Burke
James V. Burke University of Washington
Luca Schenato
Luca Schenato University of Padua
Lennart Ljung
Lennart Ljung Linköping University
Giuseppe De Nicolao
Giuseppe De Nicolao University of Pavia
Giovanni Sparacino
Giovanni Sparacino University of Padua
Ruggero Carli
Ruggero Carli University of Padua
Håkan Hjalmarsson
Håkan Hjalmarsson Royal Institute of Technology
Giorgio Palù
Giorgio Palù University of Padua
Andrea Facchinetti
Andrea Facchinetti University of Padua

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