• Stereo Camera-based Free Space Estimation for Docking in Urban Waters 

  Nygård, Trym Anthonsen; Dalhaug, Nicholas; Mester, Rudolf; Brekke, Edmund Førland; Stahl, Annette (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 

  Haughom, Håvard S. (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 

  Eggen, Kristian Naeroe (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 

  Jacobsson, Terje Haugland (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 

  Selnesaunet, Gard Momrak; Henriksen, Marie Bøe; Skauli, Torbjørn (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 

  Lema Perez, Laura; Alvarez, Hernan; Builes-Montaño, Carlos E.; Garcia-Tirado, Jose (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 ...

• Real-Time Blood Glucose Prediction Reveals a Discrepancy Between Performance Metrics and Real-World Evaluations 

  Wolff, Miriam Kopperstad; Steinert, Martin; Fougner, Anders Lyngvi; Oh, Doyoung; Årsand, Eirik; Volden, Rune (Chapter, 2024)

• Improved Closed-Loop Reservoir Management (CLRM): System-Theoretic Approaches 

  Diaa-Eldeen, Tarek (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 ...

• Data driven modelling of electrode resistance in submerged arc furnaces 

  Biswas, Sinchan; Risinggård, Vetle Kjær; Sparta, Manuel; Varagnolo, Damiano (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 ...

• Black-boxing of Converter State-Space Models for Power System Eigenvalue Analysis 

  Smith, Andrew Macmillan; Tutturen, Trond Markus; D'Arco, Salvatore; Suul, Jon Are Wold (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 

  Mellemseter, Sigrid (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 

  Baerveldt, Martin Lukas (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 

  Khodaparast, Jalal; Fosso, Olav Bjarte; Molinas Cabrera, Maria Marta; Suul, Jon Are Wold (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 

  Kristensen, Peder Tinholt (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 

  Lema Perez, Laura; Aguirre-Zapata, Estefania; Gomez-Echavarria, Lina; Botero-Castro, Hector; Maya, Juan C.; Chejne, Farid; Alvarez, Hernan (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 

  Aguirre-Zapata, Estefania; Alvarez, Hernan; Lema Perez, Laura; di Sciascio, Fernando; Amicarelli, Adriana N. (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 

  Yu, Xingji; Ren, Zhengru; Liu, Peng; Imsland, Lars Struen; Georges, Laurent Francis Ghislain (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 

  Justo, Jon Alvarez (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 Coordinated Approach Using Hyperspectral Satellite, USV, and VTOL Drone Systems for Algae Bloom Monitoring in Norwegian Coastal Waters 

  Chiatante, Corrado; Berg, Simen; Garrett, Joseph Landon; Halvorsen, Daniel Ørnes; Birkeland, Roger; Orlandic, Milica (Journal article, 2024)

• A Perspective on Harmonizing Diabetes Management Datasets 

  Wolff, Miriam Kopperstad; Royston, Sam; Fougner, Anders Lyngvi; Schaathun, Hans Georg; Steinert, Martin; Volden, Rune (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 ...

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