Institutt for teknisk kybernetikk
Recent Submissions
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Systems-Based Safety Analysis for Hydrogen-Driven Autonomous Ships
(Journal article; Peer reviewed, 2024)Abstract In the maritime domain, hydrogen fuel cell propulsion and autonomous vessels are two important issues that are yet to be implemented together because of a few challenges. It is obvious that there are several ... -
Multi-Modal fusion for estimation in perceptually degraded conditions
(Doctoral theses at NTNU;2025:177, Doctoral thesis, 2025)For autonomous robots to transition from controlled laboratory settings to unpredictable real-world environments, an essential component is resiliency against perceptual degradations [1]. These degradations manifest in ... -
EEG source imaging of hand movement-related areas: an evaluation of the reconstruction and classification accuracy with optimized channels
(Journal article; Peer reviewed, 2024)The hand motor activity can be identified and converted into commands for controlling machines through a brain-computer interface (BCI) system. Electroencephalography (EEG) based BCI systems employ electrodes to measure ... -
On the Quantification of the GNSS Signals’ Quality for RFI Assessment †
(Journal article; Peer reviewed, 2023)The performance of radio-frequency interference (RFI) detection and localization could be improved if they are applied on good quality inputs. RFI assessment is an important aspect of evaluating overall signal quality. The ... -
On the Necessity of Inflow Dynamics
(Journal article; Peer reviewed, 2024)This work explores the importance of dynamic inflow for wind turbines of varying rotor radius and also includes various coplanar multirotor setups. A parametrized model including the rotor and inflow dynamics is formulated. ... -
Continuous Localization-Assisted Collaborative RFI Detection Using the COTS GNSS Receivers †
(Journal article; Peer reviewed, 2023)Radiofrequency Interference (RFI) is a growing concern for many navigation-reliant applications. The dual benefits of RFI localization are considered: first, it can help with situational awareness by estimating the location ... -
Enchancing Diagnosis: Classification and Analysis of Attention-Deficit / Hyperactivity Disorder using Electroencephalography
(Master thesis, 2025)Oppmerksomhet spiller en kritisk rolle i hvordan vi fokuserer på viktige oppgaver og filtrerer bort distraksjoner. For personer med Attention Deficit Hyperactivity Disorder (ADHD) kan det være utfordrende å regulere ... -
Morphy: a Compliant and Morphologically-Aware Flying Robot
(Journal article; Peer reviewed, 2024)This study introduces a novel compliant and morphologically aware aerial robot called Morphy. The system is small (primary dimension 25.2 cm), lightweight (260 g), and agile (thrust-to-weight ratio of 3.3) while simultaneously ... -
A Learning-Based Model Predictive Control Strategy for Home Energy Management Systems
(Journal article; Peer reviewed, 2023)This paper presents a model predictive control (MPC)-based reinforcement learning (RL) approach for a home energy management system (HEMS). The house consists of an air-to-water heat pump connected to a hot water tank that ... -
Data-Efficient Reinforcement Learning for Variable Impedance Control
(Journal article; Peer reviewed, 2024)One of the most crucial steps toward achieving human-like manipulation skills in robots is to incorporate compliance into the robot controller. Compliance not only makes the robot’s behaviour safe but also makes it more ... -
Modeling and stability prediction for the static-power-converters interfaced flexible AC traction power supply system with power sharing scheme
(Journal article; Peer reviewed, 2023)The flexible traction power supply system (FTPSS) is a promising solution to solve the electric phase break and power quality problems existing in traditional traction power supply systems. To promote the balance of train ... -
Digital Twin for Situational Awareness and Optimal Control of Autonomous Surface Vessels
(Doctoral theses at NTNU;2025:178, Doctoral thesis, 2025)The introduction of autonomy in the maritime environment encompasses immense potential to improve the safety, efficiency, and sustainability of open-sea operations. Achieving these benefits requires advanced tools that ... -
Stereo Camera-based Free Space Estimation for Docking in Urban Waters
(Peer reviewed; Journal article, 2024)Operating in urban waters with an autonomous vessel can be challenging. The autonomous vessel must be able to react quickly and detect obstacles to avoid collisions and risky maneuvers. Exteroceptive sensors such as LiDAR ... -
Cascade Nonlinear Model Predictive Control for Multifield Energy Optimization
(Master thesis, 2024)Produksjon av olje og gass er store kilder til klimagassutslipp. For å redusere disse utslippene har bruken av fornybar energi på oljeplattformene, som havvind, de siste årene begynt å bli implementert. I et oljefelt med ... -
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 ... -
Improved Closed-Loop Reservoir Management (CLRM): System-Theoretic Approaches
(Doctoral theses at NTNU;2025:88, Doctoral thesis, 2025)This doctoral thesis explores innovative approaches in the field of reservoir management and production optimization by integrating advanced data assimilation methodologies with control and systems theory. The research ...
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