Article

Licensed

Unlicensed Requires Authentication

Cite this

Data-driven and learning-based control – perspectives and prospects

• Timm Faulwasser

  Timm Faulwasser is a Full Professor in the School of Electrical Engineering, Computer Science and Mathematics at Hamburg University of Technology, while before he held a professorship at TU Dortmund University. He has studied Engineering Cybernetics with minor in philosophy at the University of Stuttgart. After doctoral studies in the International Max Planck Research School for Analysis, Design and Optimization in Chemical and Biochemical Process Engineering Magdeburg he obtained his PhD from the Otto-von-Guericke-University Magdeburg, Germany in 2012. He was a postdoctoral researcher at École Polytechnique Fédérale de Lausanne (2013–2016) and senior researcher at Karlsruhe Institute of Technology (2015–2019). Previously, he was a member of the IEEE-CSS Conference Editorial Board and associate editor of the European Journal of Control. Currently, he serves as associate editor for the IEEE Transactions on Automatic Control, the IEEE Control System Letters, and Mathematics of Control Systems and Signals. He received the 2021–2023 Automatica Paper Prize and the 2025 European Control Award. His current research interests are optimization-based and data-driven control of stochastic, nonlinear and interconnected systems as well as systems and control approaches to learning.

  , Annika Eichler

  Annika Eichler is a Full Professor in the School of Electrical Engineering, Computer Science and Mathematics at Hamburg University of Technology, in collaboration with the Deutsches Elektronen-Synchrotron, DESY. She studied General Engineering Science at the Hamburg University of Technology and received her Diploma in Mechatronics with major in Control in 2010. She was joining the Institute of Control at the Hamburg University of Technology as research assistant and obtained her PhD in 2015. From 2015 to 2019 she was with the Institute of Control at the ETH Zurich, Switzerland, starting as Postdoc and then as senior scientist. In 2019 she joined the Deutsches Elektronen-Synchrotron DESY in Hamburg to build up a research group in intelligent process control. Her research interests include distributed, data-driven and robust control and optimization as well as fault diagnosis with application mainly in particle accelerators.

  and Julian Berberich

  Julian Berberich is a Lecturer (Akademischer Rat) at the Institute for Systems Theory and Automatic Control at the University of Stuttgart, Germany. He received his Ph.D. in Mechanical Engineering in 2022, and a Master’s degree in Engineering Cybernetics in 2018, both from the University of Stuttgart, Germany. In 2022, he was a visiting researcher at ETH Zürich, Switzerland. For his Ph.D. thesis, he received the Dr.-Klaus-Körper Prize by the International Association of Applied Mathematics and Mechanics, as well as the Bürkert University Prize by the Foundation of the University of Stuttgart. Furthermore, he is a recipient of the 2022 George S. Axelby Outstanding Paper Award as well as the Outstanding Student Paper Award at the 59th IEEE Conference on Decision and Control in 2020. His research interests include data-driven analysis and control as well as quantum computing.