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
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Quickest physical watermarking-based detection of measurement replacement attacks in networked control systems
. In European Journal of Control, volume 71, Elsevier, 2023. (DOI, Fulltext, fulltext:print
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Sequential Monte Carlo: A Unified Review. In ANNUAL REVIEW OF CONTROL ROBOTICS AND AUTONOMOUS SYSTEMS, volume 6, pp 159-182, ANNUAL REVIEWS, 2023. (DOI, Fulltext, fulltext:print).
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Regularized Linear Regression via Covariance Fitting. In IEEE Transactions on Signal Processing, volume 71, pp 1175-1183, IEEE, 2023. (DOI).
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Probabilistic Estimation of Instantaneous Frequencies of Chirp Signals. In IEEE Transactions on Signal Processing, volume 71, pp 461-476, Institute of Electrical and Electronics Engineers (IEEE), 2023. (DOI).
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Recursive identification of a nonlinear state space model. In International journal of adaptive control and signal processing (Print), volume 37, number 2, pp 447-473, John Wiley & Sons, 2023. (DOI, Fulltext, fulltext:print).
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To calibrate or not to calibrate, that is the question. In Water Research, volume 229, Elsevier, 2023. (DOI, Fulltext, fulltext:print).
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Sequential detection of Replay attacks. In IEEE Transactions on Automatic Control, volume 68, number 3, pp 1941-1948, IEEE, 2023. (DOI).
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Development of an integrated decision support system (IDSS). In Designing Sustainable and Resilient Cities: Small Interventions for Stronger Urban Food-Water-Energy Management, pp 119-138, Routledge, New York, 2023. (Designing Sustainable and Resilient Cities).
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Continuous and discrete Volterra-Laguerre models with delay for modeling of smooth pursuit eye movements. In IEEE Transactions on Biomedical Engineering, volume 70, number 1, pp 97-104, IEEE, 2023. (DOI, Fulltext, fulltext:print).
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Neuromuscular controller models for quantifying standing balance in older people: A systematic review. In IEEE Reviews in Biomedical Engineering, volume 16, pp 560-578, Institute of Electrical and Electronics Engineers (IEEE), 2023. (DOI).