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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:
Sei Zhen Khong et al: Robust stability conditions for feedback interconnections of distributed-parameter negative imaginary systems. 2018.

Journal Article:
Josefin Berner et al: An experimental comparison of PID autotuners. 2018.

Journal Article:
Mahdi Ghazaei Ardakani, Fredrik Magnusson: Ball-and-finger system: modeling and optimal trajectories. 2018.

Journal Article:
Kristian Soltesz: Robust computation of pulse pressure variations. 2018.

Journal Article:
Fredrik Magnusson, Johan Åkesson: Symbolic elimination in dynamic optimization based on block-triangular ordering. 2018.

Conference Contribution:
Kaoru Yamamoto et al: Signal reconstruction with generalized sampling. 2017.

Conference Contribution:
Yan Jiang et al: Performance tradeoffs of dynamically controlled grid-connected inverters in low inertia power systems. 2017.

Conference Contribution:
Richard Pates et al: Control Using Local Distance Measurements Cannot Prevent Incoherence in Platoons. 2017.

Conference Contribution:
Mattias Fält, Pontus Giselsson: Optimal convergence rates for generalized alternating projections. 2017.

Journal Article:
Kerstin Johnsson et al: What is a “unimodal” cell population? Using statistical tests as criteria for unimodality in automated gating and quality control. 2017.