Institutt for teknisk kybernetikk
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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 ... -
GluPredKit: Development and User Evaluation of a Standardization Software for Blood Glucose Prediction
(Peer reviewed; Journal article, 2024)Blood glucose prediction is an important component of biomedical technology for managing diabetes with automated insulin delivery systems. Machine learning algorithms hold the potential to advance this technology. However, ... -
Depth use of wild Atlantic salmon post-smolts migrating through fjords
(Peer reviewed; Journal article, 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 ... -
Learning Optimal Guidance Schemes with Safety Guarantees for Underactuated Marine Vehicles
(Peer reviewed; Journal article, 2024) -
Line-of-Sight Guidance: Learning to Look Ahead
(Peer reviewed; Journal article, 2024) -
Distributed Hybrid Model Predictive Secondary Control of DC Microgrids with Random Communication Disorders
(Peer reviewed; Journal article, 2024)A reliable and robust communication network is essential to exchange information between distributed generators (DGs) and accurately calculate their control actions in microgrids (MGs). However, the integration of the ... -
A Competitive Framework for the Participation of Multi-Microgrids in the Community Energy Trading Market: A Case Study
(Peer reviewed; Journal article, 2024)An increase in the deployment of Distributed Energy Resources (DERs) and Renewable Energy (RE) resources is a promising paradigm in the decentralized energy era. It has motivated multi-Microgrids (MGs) to trade energy ... -
A Distributed NSB Algorithm for Formation Path Following
(Journal article; Peer reviewed, 2025)This article presents a distributed null-space-based behavioral (NSB) algorithm for the formation path-following problem of vehicles moving in three dimensions. The algorithm is applied to fleets of underactuated autonomous ... -
Semantic Segmentation in Satellite Hyperspectral Imagery by Deep Learning
(Peer reviewed; Journal article, 2024)Satellites are increasingly adopting onboard AI to optimize operations and increase autonomy through in-orbit inference. The use of deep learning (DL) models for segmentation in hyperspectral imagery offers advantages for ... -
Tracking Control of Cooperative Marine Vehicles Under Hard and Soft Constraints
(Peer reviewed; Journal article, 2024)
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