Core competences
Sensor fusion and sensor systems
This competence includes areas such as state inference in nonlinear systems, estimation and detection theory, Bayesian optimization and decision-making for sensor management, as well as localization and target tracking for situational awareness.
Key contact persons
Fredrik Gustafsson
fredrik.gustafsson@liu.se
Gustaf Hendeby
gustaf.hendeby@liu.se
Roland Hostettler
roland.hostettler@uu.se
Data-driven modeling and diagnostics
The area encompasses topics such as closed-loop system identification, gray-box modeling, experiment design, computer-aided design of diagnosis systems for large-scale complex systems using structural methods, fault isolation, and data-driven prognostics.
Key contact persons
Martin Enqvist
martin.enqvist@liu.se
Daniel Jung
daniel.jung@liu.se
Learning methods for control
This competence deals with various approaches for how to learn feedback mechanisms from data, with an emphasis on reinforcement learning and iterative learning control.
Key contact persons
Farnaz Adib Yaghmaie
farnaz.adib.yaghmaie@liu.se
Svante Gunnarsson
svante.gunnarsson@liu.se
Control-oriented physics-based modeling
Within this competence the researchers in the center develop models relying on physical foundations, describing and predicting the reaction to control inputs.
Key contact persons
Lars Eriksson
lars.eriksson@liu.se
Erik Höckerdal
erik.hockerdal@liu.se
Optimization and planning for control and autonomy
Here the focus is on motion planning, optimal control, model predictive control, optimization modeling, and optimization algorithms for systems affected by uncertainty and real-time requirements.
Key contact persons
Daniel Axehill
daniel.axehill@liu.se
Johan Löfberg
johan.lofberg@liu.se
Erik Frisk
erik.frisk@liu.se