Automatic Control

The Department of Automatic Control at Lund University was created in 1965 and has today grown to hosting about 60 people.

We give courses within the regular engineering program to students from different areas of engineering. We also have a PhD program where the students specialize in various theories and applications of automatic control.

Our research is concentrated to seven areas:
Modeling and Control of Complex Systems, Control and Real-Time Computing, Process Control, Robotics, Automotive Systems, Biomedical Projects and Tools.

The department is hosting several large research projects funded by the European Commission and Swedish funding agencies. There is also active collaboration with industry.

Positions for PhD students are announced here, usually around April 1 and October 1.


Open PhD positions in Automatic Control are available. Welcome to apply online. Last day to apply is August 20, 2018.

The subject area of this position is mainly concerned with theory and methodology for the use of machine learning in dynamic feedback systems. Examples of this are reinforcement learning and deep reinforcement learning. Also the use of control methodology, such as dynamic programming and optimization, for improved machine learning efficiency is of interest.

Welcome with your application! Link to application.

Recent Publications

Conference Contribution:
Viktor Edpalm et al: Camera networks dimensioning and scheduling with quasi worst-case transmission time. 2018.

Conference Poster:
Marcus Thelander Andrén et al: On Event-Based Sampling for LQG-Optimal Control. 2018.

Journal Article:
Pontus Giselsson, Mattias Fält: Envelope Functions : Unifications and Further Properties. 2018.

Journal Article:
Ángeles Hoyo et al: Robust QFT-based PID controller for a feedforward control scheme. 2018.

Journal Article:
Tore Hägglund, José Luis Guzmán: Development of basic process control structures. 2018.

Conference Contribution:
Anton Cervin: Event-Based Control and Estimation of Server Systems. 2018.

Conference Contribution:
Anders Rantzer: Concentration Bounds for Single Parameter Adaptive Control. 2018.

Conference Contribution:
Christian Grussler et al: Identification of externally positive systems. 2018.

Conference Contribution:
Marco Ojer de Andrés et al: Reinforcement Learning for 4-Finger-Gripper Manipulation. 2018.

Conference Contribution:
Irene Zorzan, Anders Rantzer: L1 and H-infinity optimal control of positive bilinear systems. 2018.