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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:
Olof Troeng: Five-Full-Block Structured Singular Values of Real Matrices Equal Their Upper Bounds. 2021.

Journal Article:
Taouba Jouini, Zhiyong Sun: Performance analysis and optimization of power systems with spatially correlated noise. 2021.

Conference Contribution:
Richard Pates: A Damping Ratio Bound for Networks of Masses and Springs. May 2020.

Conference Contribution:
Fredrik Gustafsson et al: Identifiability of non-pharmaceutical intervention effectson Covid-19 Spread in Europe. December 2020.

Conference Contribution:
Per Skarin et al: A Cloud-Enabled Rate-Switching MPC Architecture. December 2020.

Conference Contribution:
Per Skarin et al: Cloud-Based Model Predictive Control with Variable Horizon. July 2020.

Journal Article:
Carolina Bergeling et al: H-infinity Optimal Control for Systems with a Bottleneck Frequency. 2020.

Conference Contribution:
Marcus Greiff, Karl Berntorp: Optimal Measurement Projections with Adaptive Mixture Kalman Filtering for GNSS Positioning. July 2020.

Journal Article:
Taouba Jouini, Zhiyong Sun: Steady state characterization and frequency synchronization of a multi-converter power system on high-order manifolds. 2020.

Journal Article:
Zahra Shahriari et al: Convergence analysis of iterative learning control using pseudospectra. 2020.