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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:
Manu Upadhyaya et al: Automated tight Lyapunov analysis for first-order methods. 2024.

Conference Contribution:
Maik Pfefferkorn et al: Regret and Conservatism of Constrained Stochastic Model Predictive Control. 2024.

Journal Article:
Richard Pates: Lyapunov Equations : A (Fixed) Point of View [Lecture Notes]. 2024.

PhD Thesis:
Harry Pigot: Afterload system design for functional donor heart assessment. February 2024.

Conference Contribution:
Johan Oxenstierna et al: Optimization of the Storage Location Assignment Problem Using Nested Annealing. February 2024.

Journal Article:
Matthias Mayr, Julian Salt Ducaju: A C++ Implementation of a Cartesian Impedance Controller for Robotic Manipulators. 2024.

Journal Article:
Ángeles Hoyo et al: Double feedforward compensation for cascade control schemes. 2024.

Journal Article:
J. L. Guzmán, T. Hägglund: Tuning rules for feedforward control from measurable disturbances combined with PID control : a review. 2024.

Conference Contribution:
Erjen Lefeber et al: A Robust Observer with Gyroscopic Bias Correction for Rotational Dynamics. July 2023.

Conference Contribution:
Johan Grönqvist, Anders Rantzer: Verification of Low-Dimensional Neural Network Control. December 2023.