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Public defence in the field of Automation, Systems and Control Engineering, M.Sc. (Tech.) Filip Tronarp

Title of the thesis is “Iterative and Geometric Methods for State Estimation in Non-linear Models”

Keeping Track of Things

In this dissertation advanced methods for state estimation are developed. State estimation involves inferring the state of some particular system from measurements and it has a wide range of applications, such as tracking, navigation, processing of audio signals and finance. For example, in neuroscience it is interesting to track changes in brain activity, which can be done by measuring the electromagnetic field induced by the brain via, for exampe, MEG.    

The contribution of this study is new algorithms for state estimation, which comprises of methods that utilise iterations and geometry. For instance, in many smartphone applications it is important to know in the direction of the gravity vector from the point of view of the smartphone, which is a purely geometric quantity. One application of this thesis is explicitly incorporating this geometry in state estimation.

Opponent: Professor Gustaf Hendeby, Linköping University, Sweden

Custos: Professor Simo Särkkä, Aalto University School of Electrical Engineering, Department of Electrical Engineering and Automation.

Electronic thesis

Contact information: Filip Tronarp,Department of  Electrical Engineering and Automation, [email protected]

The dissertation is publicly displayed 10 days before the defence at the noticeboard of the School of Electrical Engineering in Maarintie 8, Espoo

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