Institutt for teknisk kybernetikk
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Machine learning used in industrial safety systems
(Master thesis, 2024)Den nylige eksponentielle utviklingen og spredningen av kunstig intelligens (KI) og KI-teknologier åpner for mange muligheter til å bruke KI i scenarier som tidligere ble ansett som urealistiske. KI er allerede i bruk i ... -
State Estimation of Dissolved Oxygen Levels in a Multi-Cage Commercial Fish Farm
(Master thesis, 2024)Oppdrett av atlantisk laks er en av Norges største eksportindustrier og utgjør også landets største husdyrproduksjon, med nærmere 500 millioner oppdretts- og rensefisk hovedsakelig satt til åpne merder langs kysten til ... -
Performance comparison of COTS-based hyperspectral imagers using detailed point spread function measurements
(Journal article; Peer reviewed, 2024)Hyperspectral imaging is a rapidly growing field that utilizes a diverse range of camera designs. It has been demonstrated that hyperspectral cameras can be constructed from commercial off-the-shelf (COTS) components, ... -
Meal-Related Glycemic Trend Information to Assist Bolus Decision-Making in People with Type 1 Diabetes
(Journal article, 2024)Carbohydrate counting is an essential skill of type 1 diabetes therapy. However, this method is based on individual estimates and is prone to errors. Moderate-to-large estimate errors may lead to postprandial hyperglycemia ... -
Data driven modelling of electrode resistance in submerged arc furnaces
(Chapter, 2024)We consider the problem of finding control-oriented models for the electrode resistance of submerged arc furnaces (SAF) to aid the metallurgical process control of ferrosilicon production. To accomplish this goal, we analyze ... -
Improved Closed-Loop Reservoir Management (CLRM): System-Theoretic Approaches
(Doctoral theses at NTNU;2025:88, Doctoral thesis, 2025) -
Black-boxing of Converter State-Space Models for Power System Eigenvalue Analysis
(Chapter, 2024)State-space models are useful for a wide range of power system analyses relying on eigenvalue-based small-signal stability assessment. However, state-space models for detailed analysis of power converter dynamics are ... -
Modelling Dust Generation and Dust Distribution in Aluminium Production
(Master thesis, 2025)Denne oppgaven undersøker metoder for utslippsmodellering med mål om å øke forståelsen av fluor- og støvutslipp i aluminiumproduksjon og legge til rette for sanntidsovervåking. Arbeidet er knyttet til SU4-anlegget ved Hydro ... -
Multiple Extended Object Tracking in Confined Waterways
(Doctoral theses at NTNU;2025:109, Doctoral thesis, 2025)There is a growing interest in the development of autonomous systems for maritime vessels. One reason for this interest is the potential of maritime autonomy to revitalize the use of inland waterways as a sustainable and ... -
Power system instability prediction from the solution pattern of differential Riccati equations
(Journal article; Peer reviewed, 2024)Power system stability characteristics are typically evaluated in terms of small- and large-signal (transient) stability. Access to the time-varying A-matrix of a state-space-based power systems model during transient ... -
Application of Koopman Operator Theory for Control of an Autonomous Formula Student Race Car
(Master thesis, 2025)Denne oppgaven undersøker anvendelse av Koopman operator-teori for modellering og prediktiv styring av en autonom Formula Student-racerbil. Med Koopman operator-teori er det mulig å transformere ulineære dynamiske systemer ... -
Useful properties of phenomenological-based models
(Journal article; Peer reviewed, 2024)This work compiles the conceptual and practical proposals of various research groups regarding interesting properties of mathematical models. Although different types of mathematical models are mentioned, phenomenological-based ... -
Interpretability in the modeling spectrum: A conceptual framework and a quantification index
(Journal article; Peer reviewed, 2024)This paper addresses the challenge of enhancing interpretability in the construction of mathematical models, which are essential for understanding and optimizing complex systems. The primary motivation lies in the need to ... -
Comparison of time-invariant and adaptive linear grey-box models for model predictive control of residential buildings
(Journal article; Peer reviewed, 2024)Model predictive control (MPC) is a promising optimal control technique for activating building energy flexibility using its thermal mass. The performance of the MPC controller is directly related to the accuracy of the ... -
On-board Deep Learning for Optimizing Satellite Operations in Hyperspectral Earth Observation Satellites
(Doctoral theses at NTNU;2025:120, Doctoral thesis, 2025)For decades, remote sensing has provided invaluable Earth observation data, with numerous satellites using optical sensors to study the planet. Hyperspectral imaging, a powerful optical technique for detailed target ... -
A Perspective on Harmonizing Diabetes Management Datasets
(Journal article; Peer reviewed, 2025)Diabetes management datasets are often compiled from various sensors and devices, including diabetes technology, activity trackers, and other health-related equipment, resulting in heterogeneous data formats. Despite the ... -
Depth use of wild Atlantic salmon post-smolts migrating through fjords
(Journal article; Peer reviewed, 2024)Juvenile Atlantic salmon (Salmo salar), known as post-smolt as they enter the sea, undergo an arduous migration from their natal rivers to their feeding grounds in the North Atlantic Ocean. It has become increasingly ... -
Modeling and identification of a small fixed-wing UAV using estimated aerodynamic angles
(Journal article; Peer reviewed, 2025)This paper presents an experimental study on developing and validating a simulation-ready aerodynamic model for the Skywalker X8 unmanned aerial vehicle (UAV) using a hybrid output error method (OEM). Building on previous ...
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