Department of Electrical Engineering

Control Systems

The research field of CS is the area of dynamic modelling and model-based control of complex dynamic systems.

Enabling smart, high-performance operation of technical systems across technology domains

The mission of the group is to be an internationally recognized centre of research in systems and control, where contributions to fundamental theory are combined with advancing innovative technological applications in a selected number of domains, in cooperation with relevant industrial partners. The fundamental research of CS is directed towards the following research lines:

• Data-driven modelling in dynamic networks
• Modelling and control of linear parameter varying systems
• Spatial-temporal multi-physics systems and model reduction
• Data analytics and machine learning
• Constrained and interconnected systems
• Model-based control and optimization
• Control of cyber-physical systems

Our Labs

Sofie Haesaert

Autonomous Motion Control Lab

The Autonomous Motion Control (AMC) Lab is a testbed for new solutions of autonomous motion problems. 

Mircea Lazar

Constrained Control of Complex Systems

The C3S Lab focuses on stability and control of complex dynamical systems subject to constraints. Complex dynamical systems typically...

Hans Butler

Control of high-precision mechatronic systems

This Lab focusses on control techniques in lithographic scanners, in particular related to high-accuracy positioning systems.

Paul Van den Hof

Dynamic Networks: Data-Driven Modeling and Control

We develop methods and tools for the modeling of dynamic networks on the basis of operational data, to be used as a basis for model-based...

Tijs Donkers

Dynamics and Control for Electrified Automotive Systems

The research covers several aspects of optimization and control for automotive systems.

Sofie Haesaert

Formal methods for control of cyber-physical systems

In our lab, we develop theory and engineering methods for the design and formal verification of control in cyber-physical systems (CPS).

Roland Toth

Machine Learning for Modelling and Control

Focus on data-driven modelling (identification) and control of complex physical/chemical systems, in particular in the high-tech and process...

Leyla Özkan

Smart Process Operations and Control Lab

SPROC Lab focuses on challenges critical for the dynamic and flexible operation of chemical processes.

Siep Weiland

Spatial-Temporal Systems for Control

This research focuses on the modeling of multi-physics dynamic systems.

Meet some of our Researchers

Assistant Professor

Zhiyong Sun

Doctoral Candidate

Chris Verhoek

Full Professor

Henk jan Bergveld

Assistant Professor

Sofie Haesaert

Doctoral Candidate

Tom Bloemers

Associate Professor

Mircea Lazar

Doctoral Candidate-TA

Yannick Heuts

Former Doctoral Candidate

Dhruv Khandelwal

Doctoral Candidate

Duo Xu

Doctoral Candidate

Maico Engelaar

Doctoral Candidate

Lizan Kivits

Doctoral Candidate

Cristi Iacob

University Researcher

Paul Padilla Cazar

Doctoral Candidate

Amritam Das

Associate Professor

Leyla Özkan

Doctoral Candidate

Yorick Broens

Associate Professor

Tijs Donkers

Full Professor

Siep Weiland

University Researcher

Zuan Khalik

Doctoral Candidate

Gerben Beintema

Doctoral Candidate

Alrianes Bachnas

Doctoral Candidate

Karthik Ramaswamy

Doctoral Candidate

Ilja van Oort

Education/Research Officer

John Kessels

Associate Professor

Roland Toth

Doctoral Candidate

Francis Le Roux

Doctoral Candidate

Sarvin Moradi

Doctoral Candidate

Max Bolderman

University Researcher

Alejandro Marquez Ruiz

Administrative Secretary

Diana Heijnerman-Douma

Full Professor

Hans Butler

Assistant Professor

Maarten Schoukens

Postdoc

Yuhan Liu

Doctoral Candidate

Ming Li

Former Doctoral Candidate

Daming Lou

Research Fellow

Xiaodong Cheng

Full Professor

Paul Van den Hof

Doctoral Candidate

Carlos Gonzalez Rojas

Postdoc

Dmitri Danilov

University Researcher

Mannes Dreef

Doctoral Candidate

Victor Reyes Dreke

Doctoral Candidate

Tolga Akan

University Researcher

Feye Hoekstra

Doctoral Candidate

Clarisse Bosman Barros

Doctoral Candidate

Birgit van Huijgevoort

Doctoral Candidate

Patrick Koelewijn

Doctoral Candidate

Stefanie Fonken

Innovation

Control Systems has four main application domains: High Tech Systems, Automotive, Process industry and Energy. In each of these domains CS collaborates with leading companies contributing our fundamental knowledge to their innovation roadmaps. Often these companies are dominant market players, sometimes world leaders. With most of them CS has already built up a relationship over many years.

Below you can find the listing of most of our industry partners, a description of the innovation topics and a link to project details.  

Some of our projects

News

Student Opportunities

The Control Systems group teaches courses in the BSc and MSc programs of Electrical Engineering and Automotive Engineering, in the MSc program Systems and Control of Mechanical Engineering, and in the PhD program of the Dutch Institute of Systems and Control (DISC).

In practically all our research projects there are ample opportunities to do your Bachelor's or Master's projects. For a current overview, please have a look at the links to the TU/e marketplace.

Contact