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Alessandro Chiuso

Alessandro Chiuso

D-Index & Metrics

Engineering and Technology

D-Index
40
Citations
8327
World Ranking
7209
National Ranking
250

Overview

Alessandro Chiuso is affiliated with the University of Padua in Italy and specializes in engineering with a focus on control and systems engineering. Their research spans several subfields, including cognitive neuroscience, artificial intelligence, radiology, nuclear medicine and imaging, and computational mechanics.

Their work encompasses multiple main topics such as control systems and identification, fault detection and control systems, functional brain connectivity studies, advanced control systems optimization, neural dynamics and brain function, model reduction and neural networks, and probabilistic and robust engineering design.

Chiuso has contributed a variety of publications with a strong presence in several prominent venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • Automatica
  • IFAC-PapersOnLine
  • bioRxiv (Cold Spring Harbor Laboratory)
  • 2022 IEEE 61st Conference on Decision and Control (CDC)

Recent papers authored or co-authored by Chiuso feature topics in data-driven predictive control, linear system identification, adaptive optics control, and learning-based control strategies. Notable examples include:

  • Data-driven predictive control in a stochastic setting: a unified framework, 2023, Automatica
  • Control-oriented regularization for linear system identification, 2021, Automatica
  • PI-shaped LQG control design for adaptive optics systems, 2020, Control Engineering Practice
  • Uncertainty-aware data-driven predictive control in a stochastic setting, 2023, IFAC-PapersOnLine
  • Data-Enabled Policy Optimization for Direct Adaptive Learning of the LQR, 2025, IEEE Transactions on Automatic Control

Chiuso frequently collaborates with several researchers, including Alessandra Bertoldo, Tianshi Chen, Giuseppe De Nicolao, Lennart Ljung, and Simone Formentin.

In addition to journal articles and conference papers, Chiuso has contributed to book publications. One such work is Regularized System Identification published in 2022 under the Communications and Control Engineering series.

Best Publications

  • Dynamic Textures

    Gianfranco Doretto;Alessandro Chiuso;Ying Nian Wu;Stefano Soatto

  • Distributed Kalman filtering based on consensus strategies

    R. Carli;A. Chiuso;L. Schenato;S. Zampieri

  • Structure from motion causally integrated over time

    A. Chiuso;P. Favaro;Hailin Jin;S. Soatto

  • The role of vector autoregressive modeling in predictor-based subspace identification

    Alessandro Chiuso

  • Observability of linear hybrid systems

    René Vidal;Alessandro Chiuso;Stefano Soatto;Shankar Sastry

  • Consistency analysis of some closed-loop subspace identification methods

    Alessandro Chiuso;Giorgio Picci

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

    Gianluigi Pillonetto;Alessandro Chiuso;Giuseppe De Nicolao

  • Observability and identifiability of jump linear systems

    R. Vidal;A. Chiuso;S. Soatto

  • Recognition of human gaits

    A. Bissacco;A. Chiuso;Yi Ma;S. Soatto

  • 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

  • Optimal structure from motion: local ambiguities and global estimates

    S. Soatto;R. Brockett

  • Optimal Structure from Motion: Local Ambiguities and Global Estimates

    Alessandro Chiuso;Roger Brockett;Stefano Soatto

  • On the Relation Between CCA and Predictor-Based Subspace Identification

    A. Chiuso

  • A New Kernel-Based Approach for NonlinearSystem Identification

    G. Pillonetto;Minh Ha Quang;A. Chiuso

  • 3-D Motion and Structure from 2-D Motion Causally Integrated over Time: Implementation

    Alessandro Chiuso;Alessandro Chiuso;Paolo Favaro;Hailin Jin;Stefano Soatto

  • 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

  • A PI Consensus Controller for Networked Clocks Synchronization

    Ruggero Carli;Alessandro Chiuso;Luca Schenato;Sandro Zampieri

  • The asymptotic variance of subspace estimates

    Alessandro Chiuso;Giorgio Picci

  • Optimal Synchronization for Networks of Noisy Double Integrators

    R Carli;A Chiuso;L Schenato;S Zampieri

Frequent Co-Authors

Gianluigi Pillonetto
Gianluigi Pillonetto University of Padua
Stefano Soatto
Stefano Soatto University of California, Los Angeles
Luca Schenato
Luca Schenato University of Padua
Lennart Ljung
Lennart Ljung Linköping University
Sandro Zampieri
Sandro Zampieri University of Padua
Andrea Zanella
Andrea Zanella University of Padua
James V. Burke
James V. Burke University of Washington
Subhrakanti Dey
Subhrakanti Dey Uppsala University
Giuseppe De Nicolao
Giuseppe De Nicolao University of Pavia
Ruggero Carli
Ruggero Carli University of Padua

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