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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.

NEWS FLASH  We currently have up to 3 open positions for PhD students at the department, related to the WASP Autonomous Systems program. Apply at https://lu.mynetworkglobal.com/en/what:job/jobID:148561 no later than June 1 2017.

News

2017-05-19

On Motion Control and Machine Learning for Robotic Assembly
Martin Karlsson, Dept. of Automatic Control, Lund University
Reviewer: Mikael Norrlöf, ABB
Examiner: Bo Bernhardsson, Dept. of Automatic Control, Lund University

The seminar will be held June 8, 2017 at 10:15 in M:E.

2017-05-19

Cavity Field Control for High-Intensity Linear Proton Accelerators
Olof Troeng, Dept. of Automatic Control, Lund University
Reviewer: Thomas Schilcher, Paul Scherrer Institute
Examiner: Anders Rantzer, Dept. of Automatic Control, Lund University

The seminar will be held June 7, 2017 at 10:15 in E:1406.

Recent Publications

Conference Contribution:
Franco Blanchini et al: Topology-independent robust stability of homogeneous dynamic networks. 2017.

Conference Contribution:
Franco Blanchini et al: Discrete-time plant tuning without a model. 2017.

Journal Article:
Giulia Giordano, Franco Blanchini: Flow-Inducing Networks. 2017.

Journal Article:
Franco Blanchini et al: Active Fault Isolation: A Duality-Based Approach via Convex Programming. 2017.

Journal Article:
Richard Pates, Glenn Vinnicombe: Scalable Design of Heterogeneous Networks. 2017.

journalArticle:
Antonio Filieri et al: Control strategies for self-adaptive software systems. 2017.

Conference Contribution:
Yang Xu et al: LQG-Based Control and Scheduling Co-Design. 2017.

Conference Contribution:
Marcus Thelander Andrén et al: On Event-Based Sampling for H2-Optimal Control. 2017.

Conference Contribution:
Josefin Berner et al: Autotuner identification of TITO systems using a single relay feedback experiment. 2017.

Journal Article:
Pontus Giselsson: Tight global linear convergence rate bounds for Douglas–Rachford splitting. 2017.