Blar i Institutt for teknisk kybernetikk på tittel
Viser treff 858-877 av 3665
-
Data-driven Current Model as Part of a Digital Twin for Submarine Drones
(Master thesis, 2022)Undervannsdroner har historisk sett ikke vært i stand til å bruke fulle havsimuleringer på grunn av at de krever omfattende prosessorkraft. Dette prosjektet utvikler en enkel datadrevet havmodell som simulerer data fra ... -
Data-driven degradation model for batch processes: a case study on heat exchanger fouling
(Journal article; Peer reviewed, 2018) -
Data-Driven Dynamical Modeling in the Face of Data Limitations
(Doctoral theses at NTNU;2023:206, Doctoral thesis, 2023)Data-driven modeling has experienced an enormous increase in popularity recent years due to the ever-growing data abundance, access to cheap computational resources and great advances in algorithms and methodology. This ... -
Data-driven energy management of isolated power systems under rapidly varying operating conditions
(Peer reviewed; Journal article, 2022)We propose an energy management algorithm for isolated industrial power systems that integrate uncertain renewable generation and energy storage. The proposed strategy is designed to ensure sustainable and cost-effective ... -
Data-Driven Model Predictive Control of Micro-Grid Operation
(Master thesis, 2021)I 2015 underskrev 196 land klimaavtalen i Paris, med intensjonen om å holde den globale temperaturøkningen under 2 grader. To hovedtiltak som må tas for å nå dette målet er: mer energi produsert fra fornybare kilder og ... -
Data-Driven Model PredictiveControl of Micro-Grid Operation
(Master thesis, 2021)I 2015 underskrev 196 land klimaavtalen i Paris, med intensjonen om å holde den globale temperaturøkningen under 2 grader. To hovedtiltak som må tas for å nå dette målet er: mer energi produsert fra fornybare kilder og ... -
Data-driven modeling of fatigue effects following repeated muscular contractions
(Chapter, 2022)We propose a novel dynamical model for describing muscular fatigue and cramping following repeated muscular contractions in the case of female Kegel exercising. The proposed compartmental model adds opportune parameters ... -
Data-driven modeling of fatigue effects following repeated muscular contractions
(Chapter, 2022)We propose a novel dynamical model for describing muscular fatigue and cramping following repeated muscular contractions in the case of female Kegel exercising. The proposed compartmental model adds opportune parameters ... -
Data-driven models of pelvic floor muscles dynamics subject to psychological and physiological stimuli
(Journal article; Peer reviewed, 2019)This paper proposes individualized, dynamical and data-driven models to describe pelvic floor muscle responses in women undergoing vaginal dilation. Specifically, the models describe how the aggregated pressure exerted by ... -
Data-driven MPC
(Master thesis, 2021)Hovedmålet med denne oppgaven er å implementere en data-drevet metode i Equinors interne programvare for MPC, SEPTIC. Data-drevet kontroll består av direkte bruk av online data fra en prosess underlagt regulering, for å ... -
Data-driven recovery of hidden hysics in reduced order modeling of fluid flows
(Peer reviewed; Journal article, 2020)In this article, we introduce a modular hybrid analysis and modeling (HAM) approach to account for hidden physics in reduced order modeling (ROM) of parameterized systems relevant to fluid dynamics. The hybrid ROM framework ... -
Data-driven recovery of hidden physics in reduced order modeling of fluid flows
(Peer reviewed; Journal article, 2020)In this article, we introduce a modular hybrid analysis and modeling (HAM) approach to account for hidden physics in reduced order modeling (ROM) of parameterized systems relevant to fluid dynamics. The hybrid ROM framework ... -
Data-Driven Stochastic Model Predictive Control of an Isolated Microgrid
(Master thesis, 2021)Denne avhandlingen demonstrerer benyttelsen av en stokastisk modell-prediktiv kontroll-algoritme for å oppnå stabil optimal regulering av et øydrevet mikronett. Den demonstrerer muligheten av en slik metode, diskuterer ... -
Data-Efficient Deep Reinforcement Learning for Attitude Control of Fixed-Wing UAVs: Field Experiments
(Peer reviewed; Journal article, 2023)Attitude control of fixed-wing unmanned aerial vehicles (UAVs) is a difficult control problem in part due to uncertain nonlinear dynamics, actuator constraints, and coupled longitudinal and lateral motions. Current ... -
Data-informed scenario generation for statistically stable energy storage sizing in isolated power systems
(Peer reviewed; Journal article, 2022)We consider the problem of how to generate uncertainty scenarios to be used in energy storage sizing problems in isolated power systems. More precisely, we consider storage sizing formulations where both loads and generation ... -
Data-oriented Design approach for processor intensive games
(Master thesis, 2018)The gap between processor and memory speeds have motivated for an alternative method for software development with focus on data and efficient use of memory, data-oriented design. The primary objective of this design is ... -
Datakvalitet ved digitalisering i petroleumssektoren
(Research report, 2021)Formålet med denne rapporten er å undersøke hvilke datakilder og data som benyttes i industrielle IKT-systemer og hvordan data behandles og prosesseres før de gjøres tilgjengelig i kontornettet. Styrker og sårbarheter ... -
Datasikkerhet i sikkerhetsinstrumenterte systemer
(Master thesis, 2016)Instrumenteringssystemer har tradisjonelt vært separate systemer og har krevd lite fokus på datasikkerhet. I senere tid har økende bruk av standard kommunikasjonsprotokoller, kommunikasjon over lange avstander, samt utstyr ... -
Dataspill som læringsverktøy - Utvikling av et matematikkspill
(Master thesis, 2017)I et samfunn hvor teknologien er allestedsnærværende vil det være naturlig og også utnytte den for læring. Teknologien kan konkretisere abstrakte emner, muliggjøre forståelse og legge til rette for læring. I denne oppgaven ... -
Dead Reckoning of a Fixed-Wing UAV with Inertial Navigation Aided by Optical Flow
(Chapter; Peer reviewed, 2017)This paper provides experimental results for dead reckoning of a fixed-wing UAV using a nonlinear observer (NLO) and a more recent tool called eXogenous Kalman Filter (XKF), which uses the NLO itself as a first-stage filter. ...