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

Picture of award ceremony.

PhD Workshop 2024 – A Successful Initiative

For the second time, the Department of Electrical Engineering (ISY) organized a full-day conference for its PhD students – PhD Workshop 2024. A successful initiative with a focus on presenting the department's research.

Demo of autonomous vehicle in Visionen.

ISY Day 2024 – AI in Society, Education, and Research

This year’s edition of ISY Day offered lectures, discussions, and demonstrations within this year's theme "AI in Society, Education, and Research". A theme that is both current and highly relevant at the Department of Electrical Engineering.

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.

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. The center's operational period was between 2017 and 2023.

WASP at LiU

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

2025

Gianluigi Pillonetto, Aleksandr Aravkin, Daniel Gedon, Lennart Ljung, Antonio H. Ribeiro, Thomas B. Schon (2025) Deep networks for system identification: A survey Automatica, Vol. 171, Article 111907 (Article in journal) Continue to DOI

2024

Oskar Keding, Emina Alickovic, Martin Skoglund, Maria Sandsten (2024) Novel bias-reduced coherence measure for EEG-based speech tracking in listeners with hearing impairment Frontiers in Neuroscience, Vol. 18, Article 1415397 (Article in journal) Continue to DOI
Jakob Åslund (2024) Some unexpected behaviors of the particle filter
Rajiv Singh, Tianyu Dai, Mario Sznaier, Lennart Ljung (2024) Rational Maps for System Identification IFAC PAPERSONLINE, p. 480-485 (Conference paper) Continue to DOI
Tianyu Dai, Khaled Aljanaideh, Rong Chen, Rajiv Singh, Alec Stothert, Lennart Ljung (2024) Deep Learning of Dynamic Systems using System Identification Toolbox™ IFAC PAPERSONLINE, p. 580-585 (Conference paper) Continue to DOI

Staff

About the Department