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Learning and Model Predictive Control Applied to Energy Optimization of Chiller Plants for Data Centers

Buildings are responsible for approximately 30% of global energy use, with HVAC systems accounting for 40% of that demand. Among these, data centers have become significant energy consumers, requiring highly efficient and stable cooling solutions. This project aims to explore data-driven control methods to improve the energy efficiency of data center cooling systems as well as reduce the effort an

Microclimatic Refugia and Pollinator Resilience: The Role of Fine-Scale Climatic Variation in Semi-Natural Grasslands

Små klimatfickor – stor betydelse Bin, fjärilar och blomflugor är inte bara vackra att titta på – de gör också ett av naturens viktigaste jobb. Genom att flytta pollen mellan blommor ser de till att många växter kan föröka sig. Det gäller både vilda arter och en stor del av de grödor som vi människor äter. Utan dessa pollinatörer skulle vår biologiska mångfald minska kraftigt, och även vår livsmePollinators are essential for biodiversity and ecosystem services but face growing threats from climate change. Microclimates may buffer these impacts by providing localized climatic refugia. I assessed community-level and body size-dependent responses of bees, butterflies, and hoverflies to microclimatic temperature, humidity, wind, and structural shelter in semi-natural grasslands in southern Sw

Variable Resonance Frequency Identification in a Magnetic Track System

Identifying resonance frequencies caused by liquid sloshing in modular transport systems is essential for effective vibration suppression and minimising mechanical wear. An example of such a system is the ACOPOStrak by B&R, which utilises a Zero Vibration Filter (ZVF) to mitigate these effects. Accurate tuning of this filter requires knowledge of the system’s resonance frequencies. Obtaining t

Robot Force/Motion Tracking and Estimation of Contact Geometric Parameters

This thesis investigates the implementation and experimental evaluation of velocity controllers for force and motion control. It also explores how adaptive estimators and velocity control can be integrated cooperatively to improve the accuracy and efficiency of such control systems. Additionally, the thesis addresses how uncertainties affect position tracking performance, offering insights and sol

Residential Load Disaggregation Using Deep Learning Methods

The electrical energy landscape is changing rapidly with increasing electrification and renewable energy expansion. Smart meters deployed in households create opportunities for understanding energy consumption patterns through load disaggregation, the task of identifying individual appliances directly from aggregate electrical power data. Load disaggregation could be used for better understanding

Comparing Gradient-Based and Sampling-Based Model Predictive Control for Autonomous Racing

This thesis investigates the performance of two model predictive control (MPC) variants for autonomous racing, using a 1:10-scale vehicle as a testbed for reference path-tracking experiments. The platform is equipped with a single inertial navigation system (INS) sensor, providing highly accurate odometry measurements. The controllers under study are the standard gradient-based MPC and a sampling-

Deviation Detection in Dual Motor-Driven Industrial Doors

This thesis investigates sensorless methods for detecting collisions and added weight in dual motor-driven industrial doors, to enhance safety without additional hardware. The study is grounded in the safety requirements outlined in EN 12453:2017 and conducted in collaboration with ASSA ABLOY. By monitoring deviations in the torque-producing current (IQ) from the motors, the developed methods iden

Vision-Based Feedback Control for High-Precision Beam Alignment using a Robotic Arm at ESS

This master thesis presents the development of a vision-based feedback control system for automating sample placement in a virtual neutron beam emulated using a laser. The thesis was carried out on behalf of the European Spallation Source (ESS) to investigate the feasibility, possibilities and limitations of using a robotic automation system for sample alignment. Due to the radioactive research en

Novel Applications of Machine Learning to Guide Diagnosis of Endocarditis

Infective endocarditis (IE) is a severe disease affecting the inner lining of the heart. Its diverse symptoms complicate diagnosis and the current main diagnostic tool is the Duke criteria which classifies suspected cases as definite, possible or rejected IE. A substantial portion of cases falls into the ambiguous “possible” category and there is a need for a more precise diagnostic system. This t

Applying and Proving Suitable Planning Principles on RRT* for Autonomous Trucks

This thesis investigates how high-level planning principles can be deterministically and algorithmically incorporated into a sampling-based motion planner by modifying the structure of the RRT* algorithm. In particular, the requirement to always end a planned route by a reversing maneuver can be directly imposed through the expansion and connection logic of bidirectional search-trees, rather than

Shaped by Isolation: Genetic Load and Purging in NonNative Populations of Wall Lizards (Podarcis muralis)

Small populations are prone to inbreeding depression due to the increased likelihood of mating between close relatives, resulting in the expression of deleterious recessive mutations. While this increases the risk of population extinction, high levels of inbreeding can initiate a purging process, where natural selection gradually eliminates strongly deleterious mutations. This purging effect has b

SPATIOTEMPORAL RESPONSES OF BROWN BEARS TO DOG-ASSISTED WILD BOAR HUNTS IN THE CATALAN PYRENEES

Understanding how human activities influence wildlife behavior and habitat use is crucial for the conservation of large carnivores, such as the brown bear (Ursus arctos), in human-dominated landscapes. This thesis investigates the effects of dog-assisted wild boar hunts on the strictly protected Pyrenean brown bear population in Catalonia (hereafter named as “non-targeted hunting”). I examined the

Projects in Automatic Control 2023

The Department of Automatic Control at Lund University bi-annually gives a project course in Systems, Control and Learning (FRTN70). The course is given at the advanced level (7.5 ECTS credits), and the studentswork in small teams to achieve a common goal. The projects typically involve a real-world estimation or control problem with relevance to industrial or other applications. In this course, t

Projects in Automatic Control 2024

The Department of Automatic Control at Lund University gives a project course in Systems, Control and Learning (FRTN70) twice per year. The course is given at the advanced level (7.5 ECTS credits), and the students work in small teams to achieve a common goal. The projects typically involve a real-world estimation or control problem with relevance to industrial or other applications. In this cours

Projects in Automatic Control Spring 2025

The Department of Automatic Control at Lund University gives a project course in Systems, Control and Learning (FRTN70) twice per year. The course is given at the advanced level (7.5 ECTS credits), and the students work in small teams to achieve a common goal. The projects typically involve a real-world estimation or control problem with relevance to industrial or other applications. In this cours

Education, occupation and income inequalities in obesity among Portuguese women and men : Evidence from national health surveys (1998-2019)

INTRODUCTION: This study examined trends in socioeconomic inequalities in obesity among Portuguese women and men using data from National Health Surveys (NHSs).METHODS: We analysed weighted data from adults aged 20-64 years from the 1998/1999 (n = 20,581), 2005/2006 (n = 13,088), 2014 (n = 7284), and 2019 (n = 5959) NHSs. Obesity was defined as body mass index (BMI) ≥30 kg/m 2, based on self-repor

More Than Function: A Qualitative Exploration of Tanzanian Women’s Perceptions and Values of Menstrual Products

Critical scholarship has increasingly questioned the effectiveness of external menstrual health interventions in the Global South, often highlighting their lack of cultural sensitivity and potential to reinforce menstrual stigma. These critiques raise concerns not only about individual well-being, but also about broader questions of gendered inequality. Although such initiatives frequently center

Mindful Institution

Mindfulness har under de senaste åren blivit allt mer populärt i Sverige. Från att främst ha använts inom psykologin för att hantera stress och ohälsa, har det idag spridit sig till arbetsplatser och blivit en del av olika institutioner. I den här uppsatsen undersöks mindfulness ur ett sociologiskt perspektiv: hur praktiken påverkar människors värderingar, identiteter och föreställningar om sig sjMindfulness has increasingly become a popularized phenomenon in Sweden. From being integrated at workplaces and used for therapeutic purposes in psychology, the phenomenon has been institutionalized. This study is a sociological inquiry on mindfulness-related practices and how it shapes values, identities, and beliefs. Using the lens of Pierre Bourdieu’s relational sociology and the methodology of

Att tro allt är enfaldigt, tro intet är dåraktigt : en diskursanalytisk studie av ”avförtrollning som upplysningens program” i komminister Jöns Hornæus Sannfärdig berättelse (1740/1771)

Denna kandidatuppsats undersöker ”avförtrollning som upplysningens program” utifrån Max Horkheimer och Theodor W. Adornos tes (1944), med fokus på hur detta kommer till uttryck i den ångermanländske prästen Jöns Hornæus Sannfärdig berättelse (1740/1771). Genom en kvalitativ diskursanalys, kompletterad med en enklare kvantitativ kartläggning, analyseras Hornæus framställningar av övernaturliga väseThis bachelor’s thesis examines “disenchantment as the program of Enlightenment” through Max Horkheimer and Theodor W. Adorno’s thesis (1944), focusing on how it appears in the Swedish (Ångermanland) priest Jöns Hornæus’ Sannfärdig berättelse (1740/1771). Using qualitative discourse analysis, supported by a simple quantitative survey, the study analyzes Hornæus’ depictions of supernatural beings a