Roland Tóth Principal Investigator r.toth@tue.nl

Roland Tóth received the B.Sc. degree in Electrical Engineering and the M.Sc. degree in Information Technology in parallel with distinction at the University of Pannonia, Veszprém, Hungary, in 2004, and the Ph.D. degree (cum laude) from the Delft Center for Systems and Control (DCSC), Delft University of Technology (TUDelft), Delft, The Netherlands, in 2008. He was a Post-Doctoral Research Fellow at DCSC, TUDelft, in 2009 and at the Berkeley Center for Control and Identification, University of California Berkeley, in 2010. He held a position at DCSC, TUDelft, in 2011–2012. Currently, He is Associate Professor at the Control Systems Group, Eindhoven University of Technology (TU/e).

Tóth received the TUDelft Young Researcher Fellowship Award in 2010, the Rubicon research grant in 2010, the VENI research grant in 2011 from the Netherlands Organization for Scientific Research (NWO) and the Starting Grant from the European Research Council (ERC) in 2016.

He is an Associate Editor of the IEEE Transactions on Control Systems Technology and the International Journal of Robust and Nonlinear Control.

Maarten Schoukens Assistant Professor

Maarten Schoukens is an Assistant Professor in the Control Systems group of the Department of Electrical Engineering at the Eindhoven University of Technology (TU/e). He received a masterʼs degree in electrical engineering and a 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 as a Post-Doctoral Researcher and in 2018 he became an Assistant Professor in the same group. Maarten was awarded an FWO Ph.D. Fellowship in 2011, and a Marie Skłodowska-Curie Individual Fellowship in 2018.

His main research interests include the measurement and data-driven modelling of linear parameter-varying and nonlinear dynamical systems using system identification and machine learning techniques.

Arash Sadeghzadeh Postdoc a.sadeghzadeh@tue.nl

Arash Sadeghzadeh received the B.Sc. degree in biomedical engineering from Amirkabir University of Technology (Tehran Polytechnic) and the M.Sc. degree in control engineering from Tehran University in 2001 and 2004, respectively. He obtained the Ph.D. degree in automatic control from Tarbiat Modares University, Tehran, Iran in 2010. He was a visiting Research Fellow at École polytechnique fédérale de Lausanne (EPFL) University, Lausanne, Switzerland in 2009. Thereafter, from 2010 to 2019, he held academic positions at Razi University and Shahid Beheshti University both in Iran. In September 2019, he joined the Control Systems group, TU/e as a Post-Doctoral Research Fellow.

His main research interests include modeling, filtering, and control for linear parameter-varying systems, application of linear matrix inequalities in system and control theory, and machine learning techniques.

L. Cristian Iacob Phd Student l.c.iacob@tue.nl

Lucian Cristian Iacob is a PhD candidate in the Control Systems Group of the Department of Electrical Engineering at Eindhoven University of Technology (TU/e). He received his Bachelor’s degree in Automation and Applied Informatics from the Technical University of Cluj-Napoca, Romania, in 2017. He obtained his Master’s degree in Systems and Control (with Great Appreciation) at Eindhoven University of Technology (TU/e), The Netherlands, in 2019.  For his Master’s thesis, he worked under the supervision of Prof.dr. Siep Weiland, and focused on the topic of composition of thermodynamic systems. During his studies, he has been an intern at the Institute for Artificial Intelligence Bremen (IAI Bremen) and the Dutch Institute for Fundamental Energy Research (DIFFER). His current research is on data-driven learning of Linear Parameter-Varying (LPV) models, under the supervision of dr.ir. Roland Tóth and dr.ir. Maarten Schoukens. His main research interests include first-principle and data-driven modelling of LPV systems, system identification and machine learning techniques.

Patrick Koelewijn Phd Student p.j.w.koelewijn@tue.nl

Patrick Koelewijn received his Master’s and Ph.D. degrees at the Control Systems Group, Department of Electrical Engineering, Eindhoven University of Technology, both cum laude, in 2018 and 2023, respectively. During his Master’s degree, he spent three months at the Institute of Control Systems at the Hamburg University of Technology (TUHH) working on the topic of LPV control of a gyroscope with inverted pendulum under the supervision of Prof. Dr.-Ing. Herbert Werner. During his Ph.D., he worked on the topic of analysis and control of nonlinear systems using the LPV framework under the supervision of dr. ir. Roland Tóth and prof. Siep Weiland. His main research interests include the analysis and control of nonlinear and linear parameter-varying (LPV) systems, optimal and nonlinear control, and machine learning techniques.