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Automatic control is a classic engineering subject that has become increasingly important over the last centuries because of its use in almost all industrial fields. Simultaneously, a lot of research efforts have been put into the development of control design methods and theoretical approaches to analysis of control systems. Today, automatic control is a highly active research field, ranging from investigation of theoretical aspects in a mathematical framework to recent industrial challenges and new applications. Over the years, the control field has come to include also some related topics that are relevant in the development of a controller, e.g., sensor fusion and system identification.


The research at the Division of Automatic Control illustrates the wide scope of the control field with projects ranging from theory development to industrial applications covering both core control design and system analysis approaches as well as control-related estimation problems. Besides the obvious relation between control and mathematics, there are also strong links between the research at the division and the fields of mathematical statistics and optimization, with many tools and techniques in common. Furthermore, the division is actively cooperating with researchers in several other fields. Some examples of applications studied at the division are aircraft, industrial robots, heavy-duty vehicles, cars, ships, underwater vessels, medical imaging systems, and power amplifiers.

Research areas

Most of the research projects at the division concern one or several of the following areas:

Optimization for Control
The research in optimization for control is currently focused on efficient optimization algorithms for model predictive control and for robustness analysis of control systems.
Robotics and Autonomous Systems
Improved diagnosis and control of industrial robots and autonomous features in aeronautical or automotive systems are topics studied in cooperation with industry partners.
Sensor Fusion
The research in sensor fusion covers both theoretical and practical aspects of how to merge information from signals of different kinds. The applications concern navigation, collision avoidance as well as target tracking.
System Identification
System identification deals with estimation of mathematical models of dynamical systems from data and both theoretical convergence aspects, software development, and industrial applications are investigated here.

Research Projects

Wallenberg Autonomous Systems Program (WASP)

Wallenberg Autonomous Systems Program (WASP) is one of Sweden's largest ever research programs. The program addresses research on autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems.

Strategic Research Area Environments

The division is participating in the following two environments funded within the Swedish Department of Education's increased support for strategic research areas.

ELLIIT, Excellence Center at Linköping-Lund in Information Technology.
Security Link: A research environment in the area of Security and Crisis Management. (Professor Fredrik Gustafsson is director).

Competence Center

LINK-SIC, LINKöping center for Sensor Informatics and Control: A VINNOVA Competence Center. (VINNOVA is the Swedish Governmental Agency for Innovation Systems).

Individual Grants

Scalable Kalman Filters, (Fredrik Gustafsson): Council professor grant from the Swedish Research Council (VR).
Decision making on networked systems in presence of antagonistic interactions (Claudio Altafini): Funded by the Swedish Research Council (VR).
Distributed optimization for scalable computations in control, (Anders Hansson): Funded by the Swedish Research Council (VR).
Adaptive Linearization of Electronic Devices, (Martin Enqvist): Funded by the Center for Industrial Information Technology (CENIIT) at Linköping University.
Applied Research Platform for Sensor Fusion, (Gustaf Hendeby): Funded by the Center for Industrial Information Technology (CENIIT) at Linköping University.

Previous Research Projects

In the past, the division has participated in the following research centers and major projects:

Previous Excellence Centers

ISIS, Information Systems for Industrial Control and Supervision: A VINNOVA Center of Excellence. (Professor Lennart Ljung was director). (VINNOVA is the Swedish Governmental Agency for Innovation Systems).
MOVIII, Modeling, Visualization and Information Integration: A Strategic Research Center funded by the Swedish Foundation for Strategic Research (SSF). (Professor Lennart Ljung was project manager).
CADICS, Control, Autonomy and Decision-making In Complex Systems: A Linnaeus Center funded by the Swedish Research Council (VR). (Professor Fredrik Gustafsson was coordinator).

Previous Research Networks

LEARN: A European Union Advanced Grant for research about Limitations, Estimation, Adaptivity, Reinforcement and Networks in System Identification (to Professor Lennart Ljung and Professor Håkan Hjalmarsson (KTH)).
ERNSI, European Research Network on System Identification: Funded by the European Union during 1992-2004, but with an ongoing sequence of annual workshops.
MATRIS, Markerless real-time Tracking for Augmented Reality Image: A European Union FP6 project.
MC Impulse, Monte Carlo based Innovative Management and Processing for an Unrivalled Leap in Sensor Exploitation: A European Union FP7 Marie Curie Initial Training Network.
TRAX, Tracking in Complex Sensor Systems: A European Union FP7 Marie Curie Initial Training Network.
MarineUAS, Autonomous Unmanned Aerial Systems for Marine and Coastal Monitoring: A European Union Horizon 2020 Marie Sklodowska-Curie Innovative Training Network.
Smart Savannahs: A Vinnova-funded project 2015-2016 which was a part of the initiative Wildlife Security to support Project Ngulia.
VISIMOD, Visualisation, Simulation, System Identification and Modeling: Funded by the Swedish Foundation for Strategic Research (SSF).
PIC-LI, Process Industry Center, Linköping: A research center for process industry applications funded by the Swedish Foundation for Strategic Research (SSF).
COOP-LOC, Cooperative Localization: Funded by the Swedish Foundation for Strategic Research (SSF). (Professor Fredrik Gustafsson is project leader).
VPS, Virtual Photo Set - Data-driven Scene Characterization for Realistic Rendering: Funded by the Swedish Foundation for Strategic Research (SSF).
SEFS, Sensor Fusion for Safety Systems: Funded by the Intelligent Vehicle Safety Systems (IVSS) program.
COFCLUO, Clearance of Flight Control Laws using Optimisation: A European Union FP6 project. (Professor Anders Hansson was coordinator).

Informationsansvarig: Martin Enqvist
Senast uppdaterad: 2022-06-23