Roland Tóth

Roland Tóth is a Full Professor in the Control Systems Group at the Department of Electrical Engineering, Eindhoven University of Technology (TU/e). He is affiliated with EAISI High Tech Systems, DISC National Graduate School, and industry partners ASML, ASMPT, ESA, and Avular.

Education:

• BSc in Electrical Engineering, University of Pannonia (Hungary), 2004
• MSc in Information Technology (cum laude), University of Pannonia, 2004
• PhD in Control Engineering (cum laude), Delft University of Technology, 2008

Tóth's research focuses on identification and control of physical/chemical systems using Linear Parameter-Varying (LPV) models. He develops methods that bridge Linear Time-Invariant (LTI) frameworks and nonlinear/time-varying phenomena, with applications in industrial sectors and chemical reactors. His work integrates system identification, control theory, and machine learning for automated data-driven modeling and controller synthesis.

His articles demonstrate trends in LPV modeling (47 citations), direct data-driven control learning (64 citations), and data-driven LPV reviews (106 citations). Key themes include kernelized ML, state-space identification, and grammar-based genetic programming.

Scientific Awards:

• ERC Starting Grant (2016) for Automated LPV Modeling and Control Synthesis

Tóth supervises research projects like DAMOCLES (data-augmented modeling) and CELLSYSTEMICS (human measurement models). He serves as Senior Editor for IEEE Transactions on Control Systems Technology and contributes to UN Sustainable Development Goals through high-tech systems engineering.