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
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:
Felix Agner et al:
A data-based comparison of methods for reducing the peak flow rate in a district heating system.
2025.
journalArticle:
José Luis Guzmán et al:
An International Overview of Teaching Control Systems During COVID-19 Pandemic.
2024.
Journal Article:
Jesper Sundell et al:
Concentration–QT modeling demonstrates that the selective mineralocorticoid receptor modulator, balcinrenone (AZD9977), does not prolong QT interval.
2024.
Conference Contribution:
Faseeh Ahmad et al:
Adaptable Recovery Behaviors in Robotics : A Behavior Trees and Motion Generators (BTMG) Approach for Failure Management.
August 2024.
Conference Contribution:
Adrian Murphy et al:
Automated Log Message Embeddings.
September 2024.
Journal Article:
David Ohlin et al:
Optimal control of linear cost networks.
2024.
Conference Contribution:
Bruce D. Lee et al:
Nonasymptotic Regret Analysis of Adaptive Linear Quadratic Control with Model Misspecification.
July 2024.
Conference Contribution:
Anders Rantzer:
A Data-driven Riccati Equation.
July 2024.