Maarten Schoukens is Assistant Professor in the Control Systems (CS) Group at the Department of Electrical Engineering, Eindhoven University of Technology. His main research interests include the measurement and data-driven modelling of nonlinear dynamical and linear parameter-varying systems using system identification and machine learning techniques, experimental design, and frequency domain methods in identification. Maarten was awarded an FWO Ph.D. Fellowship in 2011, and a EU - Marie Skłodowska-Curie Individual Fellowship in 2018. Maarten is co-organizer of the nonlinearbenchmark.org initiative promoting the use of common datasets in data-driven nonlinear dynamical modelling research.
Maarten Schoukens received the master’s degree in electrical engineering and the Ph.D. degree in engineering from the Vrije Universiteit Brussel (VUB), Brussels, Belgium, in 2010 and 2015 respectively. From 2015 to 2017, he has been a Post-Doctoral Researcher with the ELEC Department, VUB. In October 2017 he joined the Control Systems research group, TU/e, Eindhoven, The Netherlands as a Post-Doctoral Researcher, since 2018 he is an Assistant Professor in the same group.
Cross-fertilising research in nonlinear system identification between the mechanical, control and machine learning fieldsMechanical Systems and Signal Processing (2019)
Sampled-data adaptive observer for state-affine systems with uncertain output equationAutomatica (2019)
Combining experiments for linear dynamic network identification in the presence of nonlinearitiesJournal of Physics: Conference Series (2018)
From nonlinear identification to Linear Parameter Varying modelsIFAC-PapersOnLine (2018)
Sampled-data based state and parameter estimation for state-affine systems with uncertain output equationIFAC-PapersOnLine (2018)
- Machine learning for Systems and Control
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