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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.

News

2015-03-19
A post doc position in Automatic Control is announced. Last day for application is April 19. The application is made online, in Swedish or English.

Recent Publications

Conference Contribution:
Alessandro Vittorio Papadopoulos: Design and Performance Guarantees in Cloud Computing: Challenges and Opportunities. April 2015.

Conference Contribution:
Connor Imes et al: POET: A Portable Approach to Minimizing Energy Under Soft Real-time Constraints. April 2015.

Conference Contribution:
Amardeep Mehta et al: Online Spike Detection in Cloud Workloads. March 2015.

Journal Article:
Enrico Bini: The Quadratic Utilization Upper Bound for Arbitrary Deadline Real-Time Tasks. 2015.

Journal Article:
Alessandro Vittorio Papadopoulos et al: A Dynamic Modelling Framework for Control-based Computing System Design. 2015.

Licentiate Thesis:
Mahdi Ghazaei: Topics in Trajectory Generation for Robots. 2015.

Journal Article:
Yuling Li et al: Acceleration feedback control for nonlinear teleoperation systems with time delays. 2015.

Journal Article:
José Luis Guzmán et al: Performance indices for feedforward control. 2015.

Journal Article:
Andre Teixeira et al: Secure control systems a quantitative risk management approach. 2015.

Journal Article:
Sang Hyoung Lee et al: Autonomous framework for segmenting robot trajectories of manipulation task. 2015.