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D-Index & Metrics

Electronics and Electrical Engineering

D-Index
53
Citations
12910
World Ranking
2368
National Ranking
57

Overview

Riccardo Scattolini is affiliated with the Polytechnic University of Milan in Italy. Their research primarily focuses on engineering, with a strong emphasis on control and systems engineering. The subfields of their work include electrical and electronic engineering, artificial intelligence, statistical and nonlinear physics, and building and construction.

The main topics covered in their publications encompass advanced control systems optimization, fault detection and control systems, neural networks and applications, control systems and identification, microgrid control and optimization, smart grid energy management, and optimal power flow distribution.

Recent scholarly contributions by Riccardo Scattolini include the following papers:

  • Robust tube-based model predictive control with Koopman operators, 2022, Automatica
  • On Recurrent Neural Networks for learning-based control: Recent results and ideas for future developments, 2022, Journal of Process Control
  • Learning model predictive control with long short-term memory networks, 2021, International Journal of Robust and Nonlinear Control
  • Hierarchical Control in Islanded DC Microgrids with Flexible Structures, 2021, Virtual Community of Pathological Anatomy (University of Castilla La Mancha)
  • On the stability properties of Gated Recurrent Units neural networks, 2021, Systems & Control Letters

Frequent co-authors collaborating with Riccardo Scattolini include Fabio Bonassi, Marcello Farina, Alessio La Bella, Enrico Terzi, and Lorenzo Fagiano.

The main venues where Scattolini's research is published are:

  • arXiv (Cornell University)
  • IFAC-PapersOnLine
  • Zenodo (CERN European Organization for Nuclear Research)
  • Automatica
  • IEEE Transactions on Control Systems Technology

Best Publications

  • Architectures for distributed and hierarchical Model Predictive Control - A review

    Riccardo Scattolini

  • Distributed model predictive control: A tutorial review and future research directions

    Panagiotis D. Christofides;Riccardo Scattolini;David Muñoz de la Peña;Jinfeng Liu

  • Constrained receding-horizon predictive control

    D.W. Clarke;R. Scattolini

  • A stabilizing model-based predictive control algorithm for nonlinear systems

    L. Magni;G.De Nicolao;L. Magnani;R. Scattolini

  • Stochastic linear Model Predictive Control with chance constraints – A review

    Marcello Farina;Luca Giulioni;Riccardo Scattolini

  • Distributed predictive control: A non-cooperative algorithm with neighbor-to-neighbor communication for linear systems

    Marcello Farina;Riccardo Scattolini

  • Stabilizing receding-horizon control of nonlinear time-varying systems

    G. De Nicolao;L. Magni;R. Scattolini

  • Robust model predictive control for nonlinear discrete-time systems

    L. Magni;G. De Nicolao;R. Scattolini;F. Allgöwer

  • Model Predictive Control Schemes for Consensus in Multi-Agent Systems with Single- and Double-Integrator Dynamics

    G. Ferrari-Trecate;L. Galbusera;M.P.E. Marciandi;R. Scattolini

  • Technical communique: Stabilizing decentralized model predictive control of nonlinear systems

    L. Magni;R. Scattolini

  • Distributed Moving Horizon Estimation for Linear Constrained Systems

    Marcello Farina;Giancarlo Ferrari-Trecate;Riccardo Scattolini

  • Stability and Robustness of Nonlinear Receding Horizon Control

    G. De Nicolao;L. Magni;R. Scattolini

  • Robustness and robust design of MPC for nonlinear discrete-time systems

    Lalo Magni;Riccardo Scattolini

  • Regional Input-to-State Stability for Nonlinear Model Predictive Control

    L. Magni;D.M. Raimondo;R. Scattolini

  • Fondamenti di Controlli Automatici

    Paolo Giuseppe Emilio Bolzern;Riccardo Scattolini;Nicola Luigi Schiavoni

  • Robust Tube-based Model Predictive Control with Koopman Operators-Extended Version

    Unknown

  • A Two-Layer Stochastic Model Predictive Control Scheme for Microgrids

    Stefano Raimondi Cominesi;Marcello Farina;Luca Giulioni;Bruno Picasso

  • Decentralized MPC of nonlinear systems: An input-to-state stability approach

    D.M. Raimondo;L. Magni;R. Scattolini

  • Brief paper: Moving-horizon partition-based state estimation of large-scale systems

    Marcello Farina;Giancarlo Ferrari-Trecate;Riccardo Scattolini

  • Model predictive control of continuous-time nonlinear systems with piecewise constant control

    L. Magni;R. Scattolini

  • Distributed Moving Horizon Estimation for Nonlinear Constrained Systems

    Marcello Farina;Giancarlo Ferrari-Trecate;Riccardo Scattolini

Frequent Co-Authors

Lalo Magni
Lalo Magni University of Pavia
Patrizio Colaneri
Patrizio Colaneri Polytechnic University of Milan
Antonella Ferrara
Antonella Ferrara University of Pavia
Matteo Corno
Matteo Corno Polytechnic University of Milan
Sergio M. Savaresi
Sergio M. Savaresi Polytechnic University of Milan
Moritz Diehl
Moritz Diehl University of Freiburg
Frank Allgöwer
Frank Allgöwer University of Stuttgart
Paolo Rocco
Paolo Rocco Polytechnic University of Milan
Jinfeng Liu
Jinfeng Liu University of Alberta
Karl Johan Åström
Karl Johan Åström Lund University

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