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:
Ylva Wahlquist et al:
Kalman filter soft sensor to handle signal quality loss in closed-loop controlled anesthesia.
2025.
Journal Article:
Mahsa Raeiszadeh et al:
Asynchronous Real-Time Federated Learning for Anomaly Detection in Microservice Cloud Applications.
2025.
Journal Article:
Jonas Hansson, Emma Tegling:
Closed-loop design for scalable performance of vehicular formations.
2025.
PhD Thesis:
Felix Agner:
Control of Capacity-Constrained Networks.
December 2025.
Journal Article:
Rolf Johansson:
Model-Based State Estimation for Euler–Lagrange Systems and Rigid-Body Robot Control.
2025.
Journal Article:
Albin Dahlin, Yiannis Karayiannidis:
Autonomous navigation with convergence guarantees in complex dynamic environments.
2025.
Conference Contribution:
Ylva Wahlquist, Kristian Soltesz:
Seamless integration of target-controlled infusion and closed-loop anesthesia.
2025.
Journal Article:
Felix Agner et al:
A data-based comparison of methods for reducing the peak flow rate in a district heating system.
2025.
Journal Article:
Manu Upadhyaya et al:
Automated tight Lyapunov analysis for first-order methods.
2025.
Licentiate Thesis:
David Ohlin:
Positive Network Systems : Heuristic Methods and Opinion Dynamics.
February 2024.