Research in Systems and Control
On this page, you'll find more information about our research at the division. Our research can be split into two broad categories: Automatic Control and Statistical Machine Learning.
Automatisk kontroll
Dynamical systems, physical and others, can be described by a variety of mathematical models.
We develop methods for modeling and estimation of dynamical systems based on measurements of input/output data. The models can be used for analysis, in order to better understand the properties of the system, or for control, to automatically regulate a process without human interaction. Contact person: Alexander Medvedev
Contact person: Alexander Medvedev
Statistical Machine Learning
Many interesting phenomena around us are complex, dynamical and stochastic in nature, and the available data are inherently uncertain.
We develop theory and tools for learning, reasoning and acting based on probabilistic models and measured data, methods that allow humans and machines to better understand the surrounding world.
Contact person: Thomas Schön
