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Engineering and Technology
Netherlands
2026

D-Index & Metrics

Engineering and Technology

D-Index
81
Citations
30972
World Ranking
482
National Ranking
12

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in Netherlands Leader Award
  • 2025 - Research.com Engineering and Technology in Netherlands Leader Award
  • 2019 - IEEE Fellow For contributions to optimal control of discrete-event and hybrid systems

Overview

Bart De Schutter is affiliated with Delft University of Technology in the Netherlands. Their research primarily focuses on the field of Engineering, with significant contributions to areas such as Control and Systems Engineering, Electrical and Electronic Engineering, and Automotive Engineering. Their work also spans Computational Theory and Mathematics, as well as Computer Networks and Communications.

The main topics addressed in their research include:

  • Advanced Control Systems Optimization
  • Traffic control and management
  • Transportation Planning and Optimization
  • Traffic Prediction and Management Techniques
  • Control Systems and Identification
  • Fault Detection and Control Systems
  • Railway Systems and Energy Efficiency

Bart De Schutter has participated in numerous publications, frequently contributing to venues including:

  • IEEE Transactions on Intelligent Transportation Systems
  • arXiv (Cornell University)
  • IFAC-PapersOnLine
  • IEEE Transactions on Automatic Control
  • Automatica

A selection of notable recent papers includes:

  • "Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark," 2020, arXiv (Cornell University)
  • "Adaptive Prescribed Performance Asymptotic Tracking for High-Order Odd-Rational-Power Nonlinear Systems," 2022, IEEE Transactions on Automatic Control
  • "Nonrecursive Control for Formation-Containment of HFV Swarms With Dynamic Event-Triggered Communication," 2022, IEEE Transactions on Industrial Informatics
  • "Robust Optimal Control for Demand Side Management of Multi-Carrier Microgrids," 2022, IEEE Transactions on Automation Science and Engineering
  • "Logic-based distributed switching control for agents in power-chained form with multiple unknown control directions," 2022, Automatica

Collaboration has been a significant aspect of their career, with frequent coauthors including Cristina Olaverri-Monreal, Silvia Siri, Simona Sacone, Matthew Barth, and Yaobin Chen.

Bart De Schutter was recognized as an IEEE Fellow in 2019 for contributions to optimal control of discrete-event and hybrid systems.

Best Publications

  • A Comprehensive Survey of Multiagent Reinforcement Learning

    L. Busoniu;R. Babuska;B. De Schutter

  • Reinforcement Learning and Dynamic Programming Using Function Approximators

    Lucian Busoniu;Robert Babuska;Bart De Schutter;Damien Ernst

  • Brief Equivalence of hybrid dynamical models

    W. P. M. H. Heemels;B. De Schutter;A. Bemporad

  • Multi-agent Reinforcement Learning: An Overview

    Lucian Buşoniu;Robert Babuška;Bart De Schutter

  • Model predictive control for optimal coordination of ramp metering and variable speed limits

    Andreas Hegyi;Bart De Schutter;Hans Hellendoorn

  • Forecasting spot electricity prices: Deep learning approaches and empirical comparison of traditional algorithms

    Jesus Lago;Fjo De Ridder;Bart De Schutter

  • Optimal coordination of variable speed limits to suppress shock waves

    A. Hegyi;Bart De Schutter;J. Hellendoorn

  • Brief Model predictive control for max-plus-linear discrete event systems

    Bart De Schutter;Ton Van Den Boom

  • Stability Analysis and Nonlinear Observer Design using Takagi-Sugeno Fuzzy Models

    Robert Babuska;Bart De Schutter;Zsfia Lendek;T. M. Guerra

  • Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark

    Jesus Lago;Grzegorz Marcjasz;Bart De Schutter;Rafał Weron

  • DAISY : A database for identification of systems

    Bart De Moor;P De Gersem;Bart De Schutter;W Favoreel

  • Deep convolutional neural networks for detection of rail surface defects

    Shahrzad Faghih-Roohi;Siamak Hajizadeh;Alfredo Nunez;Robert Babuska

  • Residential Demand Response of Thermostatically Controlled Loads Using Batch Reinforcement Learning

    Frederik Ruelens;Bert J. Claessens;Stijn Vandael;Bart De Schutter

  • Multi-agent model predictive control for transportation networks: Serial versus parallel schemes

    R. R. Negenborn;B. De Schutter;J. Hellendoorn

  • Demand Response With Micro-CHP Systems

    Michiel Houwing;Rudy R Negenborn;Bart De Schutter

  • Optimal traffic light control for a single intersection

    B. De Schutter;B. De Moor

  • Accelerated gradient methods and dual decomposition in distributed model predictive control

    Pontus Giselsson;Minh Dang Doan;TamáS Keviczky;Bart De Schutter

  • Distributed model predictive control of irrigation canals

    Rudy R. Negenborn;Peter-Jules van Overloop;Tamás Keviczky;Bart De Schutter

  • Model predictive control for ramp metering of motorway traffic: A case study

    T. Bellemans;B. De Schutter;B. De Moor

  • Proceedings of Thirtieth AAAI Conference on Artificial Intelligence

    Lukáš Chrpa;Bart De Schutter;Daniele Magazzeni;Thomas L. McCluskey

  • Model predictive control for perturbed continuous piecewise affine systems with bounded disturbances

    I. Necoara;B. De Schutter;T.J.J. van den Boom;J. Hellendoorn

  • Multi-agent model predictive control for transportation networks: serial versus parallel schemes

    Rudy R. Negenborn;Bart De Schutter;Hans Hellendoorn

Frequent Co-Authors

Hans Hellendoorn
Hans Hellendoorn Delft University of Technology
Robert Babuska
Robert Babuska Delft University of Technology
Bart De Moor
Bart De Moor KU Leuven
Bin Ning
Bin Ning Beijing Jiaotong University
Damien Ernst
Damien Ernst University of Liège
Rudy R. Negenborn
Rudy R. Negenborn Delft University of Technology
Shu Lin
Shu Lin University of California, Davis
Andreas Hegyi
Andreas Hegyi Delft University of Technology
Simone Baldi
Simone Baldi Southeast University
Alessandro Abate
Alessandro Abate University of Oxford

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