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This study focuses on estimating the state of health (SoH) of a lithium iron phosphate (LFP) battery system, which is crucial for assessing the value and lifespan of new or used batteries in energy storage, grid support, and electric vehicle applications. A proposed method for determining SoH based on comparing useful and nominal useful capacities in Ah and Wh, as well as total and nominal capacit
A major challenge for a person with diabetes is to adapt insulin dosage regimens and food intake to keep blood glucose within tolerable limits during daily life activities. The accurate prediction of blood glucose levels in response to inputs would support the patients with invaluable information for appropriate on-the-spot decision making concerning the management of the disease. Against this bac
Cross-linguistic Syntactic Priming Evidence for shared syntax? Robert J. Hartsuiker, Martin. J. Pickering and Eline Veltkamp Neocerebellar Emulation in Language Processing Giorgos P. Argyropoulos Language Evolution and Computation Research Unit, University of Edinburgh giorgos@ling.ed.ac.uk 2.2. Involvement in language and cognitive processing Language comprehension in the cerebellum 3.3. The neoc
https://konferens.ht.lu.se/fileadmin/user_upload/sol/ovrigt/konferens_BrainTalk/Argyropoulos.ppt - 2026-10-05
A new approach to the problem of estimating parameter in material models is presented. The approach is based on a state space representation of the constitutive equations and one step predictions. The differences between one-step predictions and the corresponding measurements are used to design generic one-step prediction error estimators, and in particular, the maximum likelihood method is presen
The master thesis seeks to develop a control system for the Crazyflie 2.0 unmanned aerial vehicle to enable aggressive and autonomous flight. For this purpose, different rigid-body models are considered, differing primarily in their parametrisation of rotation. The property of differential flatness is explored and several means of parametrising trajectories in at output space are implemented. A ne
This paper is concerned with the estimation of unknown drift functions of stochastic differential equations (SDEs) from observations of their sample paths. We propose to formulate this as a non-parametric Gaussian process regression problem and use an Ito-Taylor expansion for approximating the SDE. To address the computational complexity problem of Gaussian process regression, we cast the model in
Camera Calibration and 2D-3D Mapping for Safer Traffic and Saving Lives and Stuff Martin Ahrnbom 31/03/2022 Data driven traffic safety research has previously been difficult due to a lack of an efficient way of collecting large amounts of accurate, non-biased 3D road user statistics. Computer Vision is a promising approach for solving this problem. This seminar will explore how camera calibration
https://www.maths.lu.se/fileadmin/maths/personal_staff/PhD_seminar/martinahrnbom-phdseminar.pdf - 2026-10-05
CTR B57 Required Reading Litteraturlistan gäller ett (1) år efter avslutat kurstillfälle Humaniora och teo log i Centrum fö r teo log i och re l ig ionsvetenskap Required reading for CTR B57 Antisemitism, Islamophobia, and Constructing the Enemy, 7,5 ECTS credits, Spring Semester 2026 as approved by the Director of Studies on 8 December 2025 Goldberg, Sol, Scott Ury, and Kalman Weiser (eds.). Key
https://www.ctr.lu.se/media/utbildning/dokument/kurser/CTRB57/20261/CTR_B57_Required_Reading.pdf - 2026-09-14
Enabling resilient autonomous motion planning requires robust predictions of surrounding road users' future behavior. In response to this need and the associated challenges, we introduce our model titled MTP-GO. The model encodes the scene using temporal graph neural networks to produce the inputs to an underlying motion model. The motion model is implemented using neural ordinary differential equ
Hydro power stations are normally controlled by PID-controllers. One example is the Torsebro hydro power plant in Helge river. The Southern Sweden Power Supply (Sydkraft SB) initiated a research project addressing the water level control problem of hydro power plants.
The goal of this master thesis was to investigate the level-control problem. Different control structures were analyzed li
Probabilistic numerical solvers for ordinary differential equations (ODEs) treat the numerical simulation of dynamical systems as problems of Bayesian state estimation. Aside from producing posterior distributions over ODE solutions and thereby quantifying the numerical approximation error of the method itself, one less-often noted advantage of this formalism is the algorithmic flexibility gained
Standard TDOA (time-difference of arrival) estimation techniques are modified and applied to locate networked enemy radars using a cooperative team of unmanned electronic combat air vehicles (ECAVs). The team is engaged in deceiving the radars, which limits where the ECAVs can fly and requires accurate radar positions to be known. Two TDOA measurements of radar pulses taken by two ECAV pairs are u
A new chemical reactor, the Open Plate Reactor, is being developed by Alfa Laval AB. It combines good mixing with high heat transfer capacity. With the new concept, highly exothermic reactions can be produced using more concentrated reactants. In the paper, the reactor type is presented and a process control system is developed.A utility system to provide the reactor with cooling water is designed
Motivated by the potential of nondiffraction limited, real-time computational image sharpening with neural networks in astronomical telescopes, we studied wavefront sensing with convolutional neural networks based on a pair of in-focus and out-of-focus point spread functions. By simulation, we generated a large dataset for training and validation of neural networks and trained several networks to
This paper presents an algorithm for Model Predictive Control of SISO systems. Based on a quadratic objective in addition to (hard) input constraints it features soft upper as well as lower constraints on the output and an input rate-of-change penalty term. It keeps the deterministic and stochastic model parts separate. The controller is designed based on the deterministic model, while the Kalman
We study an image-based visual servoing system implemented on a non-dedicated network with non-deterministic computational nodes. A problem is that time delays are typically non-deterministic and variable and may cause significant degradation of control system performance, stability and robustness if not compensated for. Another problem is the presence of noise due to information loss and measurem
