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.


PhD position in Automatic Control is announced. Last day for application is October 24. The application is made online, in Swedish or English.

Recent Publications

Journal Article:
Björn Olofsson et al: Sensor Fusion for Robotic Workspace State Estimation. 2016.

PhD Thesis:
Fredrik Magnusson: Numerical and Symbolic Methods for Dynamic Optimization. October 2016.

Conference Contribution:
Gabriel Ingesson: Control of the low-load region in partially premixed combustion. 2016.

Journal Article:
Sei Zhen Khong et al: A Unifying Framework for Robust Synchronization of Heterogeneous Networks via Integral Quadratic Constraints. 2016.

Conference Contribution:
Gabriel Ingesson et al: A Double-Injection Control Strategy For Partially Premixed Combustion. 2016.

Conference Contribution:
Fredrik Bagge Carlson et al: Particle Filter Framework for 6D Seam Tracking Under Large External Forces Using 2D Laser Sensors. 2016.

Conference Contribution:
Jonas Dürango et al: A control theoretical approach to non-intrusive geo-replication for cloud services. 2016.

Conference Contribution:
Connor Imes et al: Portable Multicore Resource Management for Applications with Performance Constraints. 2016.

Conference Contribution:
Martina Maggio et al: A Tool for Measuring Supply Functions of Execution Platforms. 2016.

Journal Article:
Anders Holmqvist, Fredrik Magnusson: Open-loop optimal control of batch chromatographic separation processes using direct collocation. 2016.