LTH-image

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

2017-11-17

LQG-Based Real-Time Scheduling and Control Codesign
Yang Xu
Opponent: Prof. Arben Cela, Université Paris-Est, ESIEE Paris, France

The defence will be held in M:B, December 15, 10.15–12.00.

Recent Publications

Journal Article:
Kristian Soltesz: Robust computation of pulse pressure variations. 2018.

Journal Article:
Gabriel Ingesson et al: An investigation on ignition-delay modelling for control. 2017.

PhD Thesis:
Yang Xu: LQG-Based Real-Time Scheduling and Control Codesign. November 2017.

Journal Article:
Lianhao Yin et al: Partially premixed combustion multi-cylinder engine cycle-to-cycle-oriented temperature estimation and control. 2017.

Licentiate Thesis:
Olof Troeng: Cavity Field Control for High-Intensity Linear Proton Accelerators. November 2017.

Journal Article:
Amir Aminifar et al: Control-Quality Driven Design of Embedded Control Systems with Stability Guarantees. 2017.

Journal Article:
Franco Blanchini et al: Discrete-Time Trials for Tuning without a Model. 2017.

Journal Article:
Kaoru Yamamoto et al: A Renewed Look at Zeros of Sampled-Data Systems—From the Lifting Viewpoint. 2017.

Journal Article:
Morten Hagdrup et al: A Riccati-Based Interior Point Method for Efficient Model Predictive Control of SISO Systems. 2017.

Journal Article:
Richard Pates, Enrique Mallada: Decentralised Robust Inverter-based Control in Power Systems. 2017.