Blar i Institutt for teknisk kybernetikk på tittel
Viser treff 1476-1495 av 3663
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The generalized super-twisting algorithm with adaptive gains
(Chapter, 2020)In this paper a novel adaptive generalized super-twisting algorithm is proposed for a class of systems whose perturbations and uncertain control coefficients are time- and state-dependent. The proposed approach uses ... -
The generalized super-twisting algorithm with adaptive gains
(Peer reviewed; Journal article, 2022)In this article, a novel adaptive generalized super-twisting algorithm (GSTA) is proposed for a class of systems whose perturbations and uncertain control coefficients may depend on both time and state. The proposed approach ... -
Generalized Voltage-based State-Space Modelling of Modular Multilevel Converters with Constant Equilibrium in Steady-State
(Journal article; Peer reviewed, 2018)Abstract: This paper demonstrates that the sum and difference of the upper and lower arm voltages are suitable variables for deriving a generalized state-space model of an MMC which settles at a constant equilibrium in ... -
Generalized workflow with uncertainty quantification for detecting abnormalities in lung sounds
(Master thesis, 2021)Mål: Hovedmålet med denne masteroppgaven er å finne en generaliserbar prosedyre for å detektere unormale lungelyder. Den foreslåtte prosedyren bør være generell nok til å kunne bli benyttet til andre lydbaserte ... -
Generating rationally solvable instances of NP-hard logic puzzles
(Master thesis, 2022)Nurikabe, en form for logisk hjerntrim oppkalt etter en ånd fra japansk folklore, er et underholdende og enagsjerende tidsfordriv. I likhet med mange lignende spill er det dessuten NP-hardt i sin generelle form. I denne ... -
Generating scenarios from probabilistic short-term load forecasts via non-linear Bayesian regression
(Chapter, 2021)In this paper we present a simple and intuitive method for fitting a non-linear Bayesian regression model on short-term load forecasts. Such models have been implemented via Bayesian neural networks, which are known for ... -
Generative Adversarial Immitation Learning for Steering an Unmanned Surface Vehicle
(Peer reviewed; Journal article, 2020)The task of obstacle avoidance using maritime vessels, such as Unmanned Surface Vehicles (USV), has traditionally been solved using specialized modules that are designed and optimized separately. However, this approach ... -
Generering av enlinjeskjema
(Master thesis, 2020)I masteroppgaven er det lagd et dataprogram i Python som genererer enlinjeskjema av stasjoner i kraftnettet. Programmet leser inn data fra en XML-fil på CIM-standarden innenfor kraftnett, ved hjelp av biblioteket PyCIM. ... -
Generering av Forstyrrelse i et Eksperimentelt Lab-oppsett for Managed Pressure Drilling
(Master thesis, 2013)Dette er et prosjekt på 30 studiepoeng utført siste semesteret på et toårig masterprogram. Prosjektet er en videreføring av prosjektet utført høsten 2012, i faget TTK4551 Teknisk kybernetikk, fordypningsprosjekt. Oppgaven ... -
Genome-wide association mapping for milk fat composition and fine mapping of a QTL for de novo synthesis of milk fatty acids on bovine chromosome 13
(Journal article; Peer reviewed, 2017)Background Bovine milk is widely regarded as a nutritious food source for humans, although the effects of individual fatty acids on human health is a subject of debate. Based on the assumption that genomic selection offers ... -
Geometric Change Detection in Digital Twins using 3D Machine Learning
(Peer reviewed; Journal article, 2021)Digital twins are meant to bridge the gap between real-world physical systems and virtual representations. Both stand-alone and descriptive digital twins incorporate 3D geometric models, which are the physical representations ... -
Geometric change detection in the context of Digital Twin, leveraging Dynamic Mode Decomposition, Object Detection and innovations in 3D technology
(Master thesis, 2021)I takt med den økende digitaliseringen har Digital Tvilling-teknologi vist seg å bli en betydningsfull teknologi for industri. Ved simulering, prediksjon og optimering av fysiske produksjonssystemer og prosesser, frigjør ... -
Geometric Reduced-Attitude Control of Fixed-Wing UAVs
(Peer reviewed; Journal article, 2021)This paper presents nonlinear, singularity-free autopilot designs for multivariable reduced-attitude control of fixed-wing aircraft. To control roll and pitch angles, we employ vector coordinates constrained to the unit ... -
Gesture recognition using a sensor glove
(Master thesis, 2020)Dette prosjektet har utforska korleis maskinlæring kan brukast i menneske-maskin interaksjonssystemer ved å nytte ein sensorhanske. Det vart foreslått eit design av eit system for kontroll ved hjelp av gestar som er samansett ... -
Global Asymptotic Position and Heading Tracking for Multirotors Using Tuning Function-Based Adaptive Hybrid Feedback
(Journal article; Peer reviewed, 2022) -
Global Asymptotic Tracking for Marine Surface Vehicles using Hybrid Feedback in the Presence of Parametric Uncertainties
(Chapter, 2021)In this paper, we propose a hybrid adaptive feedback control law for global asymptotic tracking control for marine surface vehicles in the presence of parametric uncertainties. The hybrid feedback is derived from a family ... -
Global Asymptotic Tracking for Marine Vehicles using Adaptive Hybrid Feedback
(Peer reviewed; Journal article, 2023)This paper presents an adaptive hybrid feedback control law for global asymptotic tracking of a hybrid reference system for marine vehicles in the presence of parametric modeling errors. The reference system is constructed ... -
Global Optimisation of Multi-Plant Manganese Alloy Production
(Journal article; Peer reviewed, 2017)This paper studies the problem of multi-plant manganese alloy production. The problem consists of finding the optimal furnace feed of ores, fluxes, coke, and slag that yields output products which meet customer specifications, ... -
Global optimization of multiphase flow networks using spline surrogate models
(Journal article; Peer reviewed, 2016)A general modelling framework for optimization of multiphase flow networks with discrete decision variables is presented. The framework is expressed with the graph and special attention is given to the convexity properties ... -
Globally Exponentially Stable Aided Inertial Navigation with hydroacoustic Measurements from A Single Transponder
(Journal article; Peer reviewed, 2017)This paper provides a novel formulation relating underwater range measurements to body-fixed position when several acoustic transceivers are mounted on the vehicle and only one transponder is placed in the vehicle's ...