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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.

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

Recent Publications

Journal Article:
Lianhao Yin et al: Model Predictive Control of an Advanced Multiple Cylinder Engine with Partially Premixed Combustion Concept. 2020.

Journal Article:
Bjorn Olofsson, Lars Nielsen: Using Crash Databases to Predict Effectiveness of New Autonomous Vehicle Maneuvers for Lane-Departure Injury Reduction. 2020.

Journal Article:
Per-Anders Fransson et al: Exploring the effects of deep brain stimulation and vision on tremor in Parkinson's disease - benefits from objective methods. 2020.

Conference Contribution:
Nikolai Matni et al: From self-tuning regulators to reinforcement learning and back again. December 2020.

Conference Contribution:
Raik Suttner, Zhiyong Sun: Exponential and practical exponential stability of second-order formation control systems. December 2020.

Conference Contribution:
Di Zhao et al: A Convex Approach to Frisch-Kalman Problem. December 2020.

Conference Contribution:
Richard Pates et al: On the Optimal Control of Relaxation Systems. December 2020.

Conference Contribution:
Nils Vreman, Claudio Mandrioli: Evaluation of burst failure robustness of control systems in the fog. April 2020.

Journal Article:
Carolina Bergeling et al: Closed-form H-infinity optimal control for a class of infinite-dimensional systems. 2020.

Conference Contribution:
Ylva Wahlquist et al: Individualized closed-loop anesthesia through patient model partitioning. July 2020.