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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

2017-09-08
PhD position within the WASP project is announced. Last date to apply is October 20. Application is made online. Link to announcement in English and Swedish.

Recent Publications

Journal Article:
Sina Khoshfetrat Pakazad et al: Distributed Semidefinite Programming with Application to Large-scale System Analysis. 2017.

Conference Contribution:
Lianhao Yin et al: Nonlinear air-path control of a heavy-duty diesel engine - A Receding Horizon Sliding Control approach. 2017.

Conference Contribution:
Mattias Fält, Pontus Giselsson: Line search for generalized alternating projections. 2017.

Conference Contribution:
Olof Troeng, Bo Bernhardsson: Energy Optimal Excitation of Radio-Frequency Cavity. 2017.

Conference Contribution:
Olof Troeng et al: Complex-coefficient systems in control. 2017.

Conference Contribution:
Franco Blanchini et al: Aggregates of Positive Impulse Response systems: a decomposition approach for complex networks. 2017.

Conference Contribution:
Franco Blanchini et al: Model-free tuning of plants with parasitic dynamics. 2017.

Conference Contribution:
Giulia Giordano, Claudio Altafini: Interaction sign patterns in biological networks: from qualitative to quantitative criteria. 2017.

Journal Article:
Franco Blanchini et al: A bounded complementary sensitivity function ensures topology-independent stability of homogeneous dynamical networks. 2017.

Journal Article:
Franco Blanchini, Giulia Giordano: Polyhedral Lyapunov functions structurally ensure global asymptotic stability of dynamical networks iff the Jacobian is non-singular. 2017.