Institutt for teknisk kybernetikk: Nye registreringer
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DNN-based anomaly prediction for the uncertainty in visual SLAM
(Chapter, 2023)The method described in this paper proposes a supervised Deep Neural Network (DNN) approach for the prediction of anomalies in camera-based navigation. The method is inspired by the unsolved issues of Integrity Monitors ... -
Sparse neural networks with skip-connections for nonlinear system identification
(Peer reviewed; Journal article, 2023) -
Limitations in Impedance Reshaping of Grid Forming Converters for Instability Prevention
(Chapter, 2023)Under a weak grid scenario, Grid Forming (GFM) converters have superior impedance-based small-signal stability compared to Grid Following (GFL) converters. The underlying assumption in defining a weak grid has traditionally ... -
Experimental assessment of a JANUS-based consensus protocol
(Journal article; Peer reviewed, 2024)This paper proposes a distributed, JANUS-based protocol that enables an underwater acoustic network to reach consensus on arbitrary local opinions as numeric state variables. An envisioned scenario where nodes shall agree ... -
Uniform Practical Asymptotic Stability for Position Control of Underwater Snake Robots
(Journal article; Peer reviewed, 2023)In this article, the Lyapunov theory for uniform practical asymptotic stability (UPAS) is presented and utilized to solve the problem of position control of a planar underwater snake robot (USR). First sufficient conditions ... -
Spatial Resolution Enhancement of Hyperspectral Images from Miniaturized Sensors
(Peer reviewed; Journal article, 2023)Here we describe and mitigate issues of optical aberrations related to wavelength-dependent blur caused by miniaturization in hyperspectral pushbroom image sensors, which degrade spatial resolution and limit their usefulness. ... -
Weather optimal dynamic positioning of underactuated AUVs using output feedback control
(Journal article, 2006)In this paper we present an output feedback control system for dynamic positioning of underactuated AUVs. The control objective is to maintain a desired distance to the target while orienting the vehicle towards the target ... -
Observer design for underwater vehicles with position and angle measurement
(Journal article, 2006)In this paper we propose a new observer system for underwater vehicles. The main design objective behind this strategy is to reduce the destabilizing effect of the Coriolis and centripetal forces and moments in the observer. ... -
Model Predictive Control of Induced Draft Cooling Towers in a Large Scale Cooling Plant
(Peer reviewed; Journal article, 2022)We study the problem of designing a model predictive control strategy for multiple induced draft cooling towers. The common objective of the cooling towers is to regulate the outlet water temperature of the common collection ... -
Maximum Hands-Off Attitude Control of a Spacecraft Actuated by Thrusters
(Journal article; Peer reviewed, 2023)In this paper we investigate the use of maximum hands-of control for spacecraft attitude control of a spacecraft equipped with thrusters. Other than a more natural choice of actuators than in our previous paper, the ... -
Onboard Hyperspectral Classification Enables Georeferencing
(Journal article; Peer reviewed, 2023)The Norwegian University of Science and Technology (NTNU) has been building a system composed of multiple remote sensing agents for ocean observations. NTNU launched the first HYPerspectral Smallsat for Ocean observation ... -
LOS Path Following for Underactuated Underwater Vehicle
(Journal article, 2006)In this paper, we propose a control scheme for path following of underactuated underwater vehicles. In particular, we propose a guidance law based on the the well-known principle of Line of Sight (LOS) guidance that is ... -
Mobile Software Development Kit for Real Time Multivariate Blood Glucose Prediction
(Journal article; Peer reviewed, 2024)In the field of blood glucose prediction, the literature is abounded with algorithms that demonstrate potential in glucose management. However, these propositions face an issue common to many machine learning algorithms: ... -
Enhancing elasticity models with deep learning: A novel corrective source term approach for accurate predictions
(Peer reviewed; Journal article, 2024)With the recent wave of digitalization, specifically in the context of safety–critical applications, there has been a growing need for computationally efficient, accurate, generalizable, and trustworthy models. Physics-based ... -
Formation Control of Underactuated Marine Vehicles with Communication Constraints
(Journal article, 2006)In this paper, we propose a nonlinear coordination control scheme for formation control of a group of underactuated marine vehicles with communication topology constraints. In particular, we propose decentralized control ... -
Frequency-Adaptive Energy Control for Grid-Forming MMCs Under Unbalanced Conditions
(Peer reviewed; Journal article, 2023)This paper presents a frequency-adaptive energy control strategy for a Modular Multilevel Converter (MMC) which is suitable for grid-forming operation under unbalanced conditions. The average components of the energy sum ... -
Probabilistic Economic Assessment of an Offshore Energy Hub Supplying Electrical Power to a Floating Production Storage and Offloading Unit
(Chapter, 2023)This paper analyzes the viability of an offshore energy hub consisting of wind turbines, batteries, fuel cells and electrolyzers connected to, and powering, an oil producing floating production storage and offloading unit. ... -
Lightweight UAV payload for image spectroscopy and atmospheric irradiance measurements
(Peer reviewed; Journal article, 2023)This paper presents a low-cost lightweight UAV payload for remote sensing purposes using a small imaging spectrometer made from COTS components. The novel design with an additional upward-facing spectrometer allows for ... -
A retrospective look at cross model validation and its applicability in vibrational spectroscopy
(Peer reviewed; Journal article, 2021)In this paper, it is presented how Cross Model Validation (CMV), also known as double cross validation, efficiently can be applied for variable selection in spectroscopic applications. The chosen applications are FT-IR ... -
Psychological stress detection with optimally selected EEG channel using Machine Learning techniques
(Peer reviewed; Journal article, 2023)Psychological stress buildup can lead to mental disorders, early mortality, stroke and sudden cardiac arrest and therefore, timely stress detection is important for reducing human suffering. This study aims to present a ...