Blar i Institutt for teknisk kybernetikk på tittel
Viser treff 1221-1240 av 3663
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Energy harvesting and practical stabilization of underwater snake robots
(Doctoral theses at NTNU;2023:429, Doctoral thesis, 2023)Energy efficiency is crucial for the operational time and reach of autonomous underwater vehicles (AUVs). A new class of AUVs, underwater snake robots (USRs), has an articulated body that may be utilized to enhance propulsion ... -
Energy Optimal Attitude Control and Task Execution for a Solar-Powered Spacecraft
(Peer reviewed; Journal article, 2024)In this article, we aim to maximize the net energy a solar-powered spacecraft gains when performing a sequence of tasks leading to attitude maneuvers over the spacecraft’s orbit, including an eclipse. The net energy can ... -
Energy-Optimized Path Planning for Autonomous Ferries
(Journal article, 2018)The topic of energy-optimized path planning using pseudospectral optimal control is considered. An optimal control problem (OCP) is formulated to produce an energy-optimized path between two points among static obstacles. ... -
Engineering Cybernetics Education Through Cybernetic Principles : A Case Study of the Engineering Cybernetics Education at NTNU
(Master thesis, 2021)Kybernetiske prinsipper skjærer over tradisjonelle faglige grenser og spiller en viktig rolle i dagens høyteknologiske samfunn. Dyktige kybernetikkingeniører er verdifulle for Norge, men utdannelsen innen teknisk kybernetikk ... -
Enhanced analysis of ultrasonic impedance logs: Improved imaging and fluid channel detection
(Master thesis, 2020)Abstract: The aim of this thesis is to detect vertical features in the the casing cement of oil and gas wells by using pattern recognition techniques based on machine learning on ultrasonic log data. Detecting channels is ... -
Enhanced analysis of ultrasonic impedance logs: Improved imaging and fluid channel detection
(Master thesis, 2020)Målet med denne oppgaven er å detektere vertikale trekk i sementen rundt foringsrøret i olje- og gassbrønner ved å bruke mønstergjenkjenningsteknikker basert på maskinlæring på ultralydloggdata. Å oppdage kanaler er en ... -
Enhanced communication support between control room and field operation: Human communication and interaction
(Master thesis, 2007)Communication between the field operator and the control room operator is vital for successful operation in the process industry. By reviewing models for human cognition and interpersonal communication and collaboration ... -
Enhanced Hydroacoustic Range Robustness of Three-Stage Position Filter based on Long Baseline Measurements with Unknown Wave Speed
(Journal article; Peer reviewed, 2016)This paper considers the problem of constructing a globally convergent position-and velocity estimator with close-to-optimal noise properties using hydroacoustic long baseline measurements. Three ways of improving the range ... -
Enhanced Model Predictive Control:Dual Control Approach and State Estimation Issues
(Doktoravhandlinger ved NTNU, 1503-8181; 2010:235, Doctoral thesis, 2010)The main contribution of this thesis is the advancement of Model Predictive Control (MPC). MPC is a well known and widely used advanced control technique, which is model-based and capable of handling both input and ... -
Enhancement of Noisy Speech Using Deep Learning
(Master thesis, 2021)Abstract will be available on 2024-01-11 -
Enhancing Autonomous Systems’ Awareness: Conceptual Categorization of Anomalies by Temporal Change During Real-Time Operations
(Chapter, 2022)The Unmanned Autonomous Systems (UAS) are anticipated to have a permanent role in offshore operations, enhancing personnel, environmental, and asset safety. These systems can alert onshore operators of hazardous occurrences ... -
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 ... -
Enhancing Model Predictive Control for Non-Continuous Actuators in the Oil and Gas Industry: A Mixed Integer MPC Approach
(Master thesis, 2023)Effektive kontrollsystemer er avgjørende for å oppnå høy produktivitet og økte inntekter innen olje- og gassindustrien. Modellbasert prediktiv kontroll (Model Predictive Control, MPC) har blitt en mye brukt teknikk for ... -
Enhancing Sleep-Wake Detection Using Deep Learning and Optimal Channel Selection from High-Density EEG
(Master thesis, 2023)Denne masteroppgaven utforsker den utfordrende men viktige oppgaven med å klassifisere våkenhet fra søvn ved bruk av elektroencefalografi (EEG) data, som er viktig i både kliniske og hjemmemiljøer. Ettersom søvnforstyrrelser ... -
Enhancing Teaching Methods on Embedded Systems with Project-Based Learning
(Chapter, 2018)Automation engineering departments must continuously develop their laboratories and pedagogical tools to provide their students with effective study plans. While acquiring state-of-the-art equipment can be financially ... -
Enhancing the robustness of meal onset detection by sensor fusion
(Master thesis, 2020)Abstract will be available on 2023-06-01 -
Enhetlig visjonsbasert autonom navigasjon for roboter
(Master thesis, 2015)Motivasjonen til denne avhandlinga er å undersøke bruken av eit kamera som sensor for autonome bakkerobotar. Noverande autonome system nyttar som regel optisk fjernmålingsteknikkar som lidar, i tillegg til GPS-posisjonering. ... -
Ensemble Kalman Filtering for State and Parameter Estimation on a Reservoir Model
(Master thesis, 2007)In reservoir management it is important with reservoir models that have good predictive abilities. Since the models initially are based on measurements with high uncertainties it is important to utilize new available data. ... -
An ensemble modelling approach for spatiotemporally explicit estimation of fish distributions using data assimilation
(Journal article; Peer reviewed, 2023)This article presents a novel method for estimating large scale spatiotemporal distribution patterns of fish populations modelled at the individual level. A single realization of an individual-based model calibrated on ... -
An environmental disturbance observer framework for autonomous surface vessels
(Peer reviewed; Journal article, 2023)This paper proposes a robust disturbance observer framework for maritime autonomous surface vessels considering model and measurement uncertainties. The core contribution lies in a nonlinear disturbance observer, reconstructing ...