Research at Systems and Control
Modeling, inference and control in complex dynamical systems
Current projects
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 MedvedevAutomatic control and System identification
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 SchönStatistical Machine Learning
The goal of signal processing is to extract information from measured quantities, or signals. This broad concept ranges from simple linear filtering of time series to reduce noise, to nonlinear parameter estimation based on high-dimensional data using statistical models. Estimation theory, optimization, and statistics, play central roles. Contact person: Thomas SchönSignal Processing
Important application areas
The theory and methods of dynamical systems, control, identification and signal processing have much to offer research and clinical practice in modern medicine. We develop methods used in the diagnosis, assessment, and treatment of medical conditions, based on dynamical models of physiological and biological systems. Currently we have projects on Parkinson's disease, breast cancer, diabetes and balance impairment. Contact person: Alexander MedvedevBiomedical systems
Water quality and treatment of water is a growing concern around the world. Demands on quality and increasing loads call for optimized operation of wastewater treatment plants. Applied research in automatic control is an important tool in improving the performance of treatment plants. We are developing control and estimation strategies for wastewater treatment plants that improve pollutant removal, reduce the chemicals consumption and yield energy savings. Contact person: Bengt Carlsson Read more: Modelling and automatic control of wastewater treatment plantsWastewater engineering
Recent publications
More comprehensive list of publications
- Fifteen minutes on averaging theory for recursive algorithms. Uppsala University, 2024. (fulltext).
- Quickest detection of bias injection attacks on the glucose sensor in the artificial pancreas under meal disturbances. In Journal of Process Control, volume 135, Elsevier, 2024. (DOI, Fulltext, fulltext:print).
- Two New Algorithms for Maximum Likelihood Estimation of Sparse Covariance Matrices With Applications to Graphical Modeling. In IEEE Transactions on Signal Processing, volume 72, pp 958-971, Institute of Electrical and Electronics Engineers (IEEE), 2024. (DOI).
- Spatio-temporal modelling of the effects of the COVID-19 pandemic on electricity consumption patterns in Stockholm, Sweden. In Science Talks, volume 9, pp 100300-100300, 2024. (DOI).
- Predicting COVID-19 hospitalizations: The importance of healthcare hotlines, test positivity rates and vaccination coverage. In Spatial and Spatio-temporal Epidemiology, volume 48, Elsevier, 2024. (DOI, Fulltext, fulltext:print).
- Closed-form expressions for the pure time delay in terms of the input and output Laguerre spectra. In Automatica, volume 159, Elsevier, 2024. (DOI, Fulltext, fulltext:print).
- Privacy and Security in Network Controlled Systems via Dynamic Masking. In IFAC-PapersOnLine, volume 56, number 2, pp 991-996, Elsevier, 2023. (DOI).
- Robust Sequential Detection of Non-stealthy Sensor Deception Attacks in an Artificial Pancreas System. In 2023 62nd IEEE Conference on Decision and Control (CDC), IEEE Conference on Decision and Control, pp 2827-2832, Institute of Electrical and Electronics Engineers (IEEE), 2023. (DOI).
- On the trade-offs between accuracy, privacy, and resilience in average consensus algorithms. In 2023 62nd IEEE Conference on Decision and Control, (CDC), IEEE Conference on Decision and Control, pp 8026-8031, Institute of Electrical and Electronics Engineers (IEEE), 2023. (DOI).
- Security Allocation in Networked Control Systems. Licentiate thesis, IT licentiate theses / Uppsala University, Department of Information Technology nr 2023-003, Uppsala universitet, Uppsala, 2023. (fulltext).