Tijs Donkers is an Associate Professor in the Control Systems group of the Department of Electrical Engineering at Eindhoven University of Technology (TU/e). His current research focusses on developing control theory specifically for automotive applications, with an emphasis on the computational aspects of the control algorithms.
His recent research has led to using distributed optimization and (model predictive) control for (complete) vehicle energy management. Besides this, his research covers several aspects of modeling and control of batteries (such as optimal charging, cell balancing and state estimation) and combustion engines.
Besides these automotive applications, Tijs is interested in the role of sampling in control and identification, with an emphasis on event-triggered and networked control systems.
Tijs Donkers received his MSc and PhD (both summa cum laude) in Systems and Control in 2008 and 2011, respectively, from the Department of Mechanical Engineering at TU/e. In 2010, Tijs visited the Cyber-Physical Systems laboratory of the University of California at Los Angeles, CA, USA, and, from 2012 until 2013, he was a researcher at the Dutch Institute for Applied Scientific Research (TNO) in Helmond, Netherlands. He was an assistant professor from 2013-2021 and received tenure in 2016. He is currently involved in the European projects EVERLASTING, LONGRUN and SENSIBAT.
Model simplifications and their impact on computational complexity for an electrochemistry-based battery modeling toolboxJournal of Power Sources (2021)
H ∞ and H 2 optimal sampled-data controller synthesisAutomatica (2021)
A global optimal solution to the eco-driving problemIEEE Control Systems Letters (2018)
A comparison and accuracy analysis of impedance-based temperature estimation methods for Li-ion batteriesApplied Energy (2016)
Output-based event-triggered control with guaranteed cal L∞ -gain and improved and decentralised event-triggeringIEEE Transactions on Automatic Control (2012)