Automatic Control (RT)

Automatic control is the art of making technical systems behave as we want.

  Photo credit David BrohedeThe activities within the division include a broad spectrum of problems in sensor fusion, system identification, robotics and autonomous systems, optimization for control applications and complex networks, and they aim at a good and productive balance between theoretical developments and industrial applications.

Sensor fusion deals with how to combine information from different sensors in the best way, and system identification concerns data driven modelling of dynamical systems. Within robotics and autonomous systems the focus is on planning and controlling the position and orientation of a system with a minimum of manual interaction. The activities within optimization include algorithm development for model predictive control, and the complex networks area deals with different types of interactions in dynamic networks.

Examples of application areas of industrial importance are modelling and control of industrial robots, sensor fusion and decision support in cars, ships and aerial vehicles, and planning and control of autonomous vehicles.

Reglerteknik

News

ELLIIT Joint Autonomous Systems Lab in Linköping and Lund showcasing autonomous robot.

The University Board on Study Visit to Visionen

In December 2023, the university board visited the Department of Electrical Engineering (ISY). In the research arena Visionen, examples were presented highlighting Linköping University's crucial role in technological and societal development.

Portrait picture of Anastasia Bizyaeva, postdoc.

Ambitious guest researcher program enhances the interdisciplinary dialogue

"The focus period was a unique and valuable experience. I would absolutely come back for another focus period, and I recommend the opportunity to other researchers who may be considering it in the future", says Anastasia Bizyaeva, visiting scholar.

Audience members at a lecture during the ELLIIT Symposium 2023.

Leading researchers gathered for symposium on Network Dynamics and Control

In the autumn of 2023 Linköping University hosts the ELLIIT Focus Period. An ambitious guest researcher program aimed at stimulating interaction among researchers and to favor cross-talk within the research field.

Research and collaborations in Automatic Control

Research areas

Research projects and collaborations

SEDDIT

SEDDIT is a competence center funded within the framework of Vinnova's initiative in Advanced Digitalization, where universities and companies collaborate to conduct research and education in digital societal transformation.

LINK-SIC is a Vinnova Competence Center

LINK-SIC - Linköping Center for Sensor Informatics and Control

LINK-SIC is a Vinnova Competence Center for industry-academia cooperation in the general area of control systems and signal processing.

Wallenberg Autonomous Systems Program

WASP - Wallenberg Autonomy and Software Program

LiU is home to WASP – Sweden’s largest ever individual research program. The research is financed by the Knut and Alice Wallenberg Foundation, and focusses on autonomous systems and software development.


WASP - Wallenberg Autonomy and Software Program

Education in Automatic Control

Contact

Publications

2024

Hyowon Kim, Angel F. Garcia-Fernandez, Yu Ge, Yuxuan Xia, Lennart Svensson, Henk Wymeersch (2024) Set-Type Belief Propagation With Applications to Poisson Multi-Bernoulli SLAM IEEE Transactions on Signal Processing, Vol. 72, p. 1989-2005 Continue to DOI
Chuan Huang, Gustaf Hendeby, Hassen Fourati, Christophe Prieur, Isaac Skog (2024) MAINS: A Magnetic-Field-Aided Inertial Navigation System for Indoor Positioning IEEE Sensors Journal, Vol. 24, p. 15156-15166 Continue to DOI
Anton Kullberg (2024) Dynamic rEvolution: Adaptive state estimation via Gaussian processes and iterative filtering
Amirhossein Ahmadian, Yifan Ding, Gabriel Eilertsen, Fredrik Lindsten (2024) Unsupervised Novelty Detection in Pretrained Representation Space with Locally Adapted Likelihood Ratio International Conference on Artificial Intelligence and Statistics 2024, Proceedings of Machine Learning Research
Isaac Skog, Magnus Lundberg Nordenvaad, Gustaf Hendeby (2024) Signals-of-Opportunity-Based Hydrophone Array Shape and Orientation Estimation IEEE Journal of Oceanic Engineering Continue to DOI

Staff

About the Department