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Luca Schenato

Luca Schenato

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
54
Citations
16132
World Ranking
2239
National Ranking
51

Research.com Recognitions

  • 2017 - IEEE Fellow For contributions to networked and multi-agent control systems

Overview

Luca Schenato is affiliated with the University of Padua in Italy and has contributed extensively to research in computer science and engineering. Their work spans several subfields including computer networks and communications, electrical and electronic engineering, control and systems engineering, artificial intelligence, and statistical and nonlinear physics.

The research topics covered by Schenato include:

  • Distributed control multi-agent systems
  • Stability and control of uncertain systems
  • Stochastic gradient optimization techniques
  • Distributed sensor networks and detection algorithms
  • Age of information optimization
  • Energy efficient wireless sensor networks
  • Power system optimization and stability

Recent publications by Schenato feature a range of contributions focused on optimization, estimation, and energy-aware scheduling in networked systems. Selected papers include:

  • "Asynchronous Distributed Optimization Over Lossy Networks via Relaxed ADMM: Stability and Linear Convergence," published in 2020 in IEEE Transactions on Automatic Control
  • "Efficient spatio-temporal Gaussian regression via Kalman filtering," 2020, Automatica
  • "Transmission power allocation for remote estimation with multi-packet reception capabilities," 2022, Automatica
  • "EASE: Energy-Aware Job Scheduling for Vehicular Edge Networks With Renewable Energy Resources," 2022, IEEE Transactions on Green Communications and Networking
  • "Smart Grid State Estimation with PMUs Time Synchronization Errors," 2020, Energies

Schenato has frequently published in venues such as arXiv (Cornell University), Automatica, IFAC-PapersOnLine, IEEE Control Systems Letters, and IEEE Transactions on Automatic Control. The highest volume of publications appears in arXiv with 22 papers, followed by Automatica with 6 publications.

Collaboration is a notable aspect of Schenato's research profile, including frequent partnerships with Matthias Pezzutto, Ruggero Carli, Subhrakanti Dey, Luca Ballotta, and Michele Rossi, reflecting active engagement in multi-author research projects.

In recognition of their contributions to the field of networked and multi-agent control systems, Schenato was named IEEE Fellow in 2017.

Best Publications

  • Kalman filtering with intermittent observations

    B. Sinopoli;L. Schenato;M. Franceschetti;K. Poolla

  • Foundations of Control and Estimation Over Lossy Networks

    L. Schenato;B. Sinopoli;M. Franceschetti;K. Poolla

  • Distributed Kalman filtering based on consensus strategies

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

  • Optimal Estimation in Networked Control Systems Subject to Random Delay and Packet Drop

    L. Schenato

  • Distributed control applications within sensor networks

    B. Sinopoli;C. Sharp;L. Schenato;S. Schaffert

  • Average TimeSynch

    Luca Schenato;Federico Fiorentin

  • To Zero or to Hold Control Inputs With Lossy Links

    L. Schenato

  • A Survey on Distributed Estimation and Control Applications Using Linear Consensus Algorithms

    Federica Garin;Luca Schenato

  • Flapping flight for biomimetic robotic insects: part I-system modeling

    Xinyan Deng;L. Schenato;Wei Chung Wu;S.S. Sastry

  • Flapping flight for biomimetic robotic insects: part II-flight control design

    Xinyan Deng;L. Schenato;S.S. Sastry

  • A distributed consensus protocol for clock synchronization in wireless sensor network

    L. Schenato;G. Gamba

  • A Review of Distributed Fibre Optic Sensors for Geo-Hydrological Applications

    Luca Schenato

  • Optimal linear LQG control over lossy networks without packet acknowledgment

    Bruno Sinopoli;Luca Schenato;Massimo Franceschetti;Kameshwar Poolla

  • Newton-Raphson Consensus for Distributed Convex Optimization

    Damiano Varagnolo;Filippo Zanella;Angelo Cenedese;Gianluigi Pillonetto

  • Identification of power distribution network topology via voltage correlation analysis

    Saverio Bolognani;Nicoletta Bof;Davide Michelotti;Riccardo Muraro

  • Distributed Optical Fiber Sensing Based on Rayleigh Scattering

    Luca Palmieri;Luca Schenato

  • Tracking and Coordination of Multiple Agents Using Sensor Networks: System Design, Algorithms and Experiments

    Songhwai Oh;L. Schenato;P. Chen;S. Sastry

  • Subsurface Multi‐Physical Monitoring of a Reservoir Landslide With the Fiber‐Optic Nerve System

    Unknown

  • Distributed optical fibre sensing for early detection of shallow landslides triggering.

    Luca Schenato;Luca Palmieri;Matteo Camporese;Silvia Bersan

  • A Hierarchical Multiple-Target Tracking Algorithm for Sensor Networks

    Songhwai Oh;S. Sastry;L. Schenato

  • Tracking and Coordination of Multiple Agents Using Sensor Networks: System Design, Algorithms and Experiments Sensor networks that can rapidly locate, pursue and capture numerous moving targets can be used for surveillance of large areas.

    Songhwai Oh;Luca Schenato;Phoebus Chen;Shankar Sastry

Frequent Co-Authors

Luca Palmieri
Luca Palmieri University of Padua
Shankar Sastry
Shankar Sastry University of California, Berkeley
Bruno Sinopoli
Bruno Sinopoli Washington University in St. Louis
Kameshwar Poolla
Kameshwar Poolla University of California, Berkeley
Sandro Zampieri
Sandro Zampieri University of Padua
Subhrakanti Dey
Subhrakanti Dey Uppsala University
Ashish Pandharipande
Ashish Pandharipande Eindhoven University of Technology
Andrea Zanella
Andrea Zanella University of Padua
Karl Henrik Johansson
Karl Henrik Johansson Royal Institute of Technology
Yongmin Jung
Yongmin Jung University of Southampton

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