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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.

Recent Publications

Conference Contribution:
Björn Olofsson et al: Continuous-Time Gray-Box Identification of Mechanical Systems Using Subspace-Based Identification Methods. July 2014.

Conference Contribution:
Daria Madjidian, Leonid Mirkin: Distributed Control with Low-Rank Coordination. July 2014.

Conference Contribution:
Henry Hoffmann, Martina Maggio: PCP: A Generalized Approach to Optimizing Performance Under Power Constraints through Resource Management. June 2014.

PhD Thesis:
Daria Madjidian: Low-Rank Distributed Control with Application to Wind Energy. June 2014.

PhD Thesis:
Mikael Lindberg: From Competitive to Cooperative Resource Management for Cyber-Physical Systems. June 2014.

Conference Contribution:
Anders Mannesson et al: Optimal Virtual Array Length Under Position Imperfections. June 2014.

Conference Contribution:
Jonathan P. Epperlein et al: Control Laboratory Experiments in ThermoAcoustics Using the Rijke Tube. June 2014.

Conference Contribution:
Muhammad Atif Yaqoob et al: On the Performance of Random Antenna Arrays for Direction of Arrival Estimation. June 2014.

Conference Contribution:
Karl Berntorp et al: Path Tracking with Obstacle Avoidance for Pseudo-Omnidirectional Mobile Robots Using Convex Optimization. June 2014.

PhD Thesis:
Karl Berntorp: Particle Filtering and Optimal Control for Vehicles and Robots. May 2014.