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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

2017-01-11

Rank Reduction with Convex Constraints
Christian Grussler, Dept. of Automatic Control, Lund University
Opponent: Rodolphe Sepulchre, Cambridge University
Chairperson: Anton Cervin, Dept. of Automatic Control, Lund University

The seminar will be held February 3, 2017 at 13:15 in M:B.

Recent Publications

Journal Article:
Anton Sellberg et al: Discretized multi-level elution trajectory: A proof-of-concept demonstration. 2017.

PhD Thesis:
Christian Grussler: Rank Reduction with Convex Constraints. January 2017.

Journal Article:
Fredrik Magnusson, Johan Åkesson: Symbolic elimination in dynamic optimization based on block-triangular ordering. 2017.

Journal Article:
Christian Cuba Samaniego et al: Stability analysis of an artificial biomolecular oscillator with non-cooperative regulatory interactions. 2017.

Conference Contribution:
Vicent Rodrigo et al: Causal analysis for alarm flood reduction. 2016.

Conference Contribution:
Pedro Mercader et al: PID synthesis under probabilistic parametric uncertainty. 2016.

Conference Contribution:
Arne Wahrburg et al: Improving contact force estimation accuracy by optimal redundancy resolution. 2016.

Conference Contribution:
Giulia Giordano et al: A convex optimization approach to cancer treatment to address tumor heterogeneity and imperfect drug penetration in physiological compartments. 2016.

Conference Contribution:
Giulia Giordano et al: A saturated strategy robustly ensures stability of the cooperative equilibrium for Prisoner's dilemma. 2016.

Conference Contribution:
Giulia Giordano, Elisa Franco: Negative feedback enables structurally signed steady-state influences in artificial biomolecular networks. 2016.