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Gain Scheduled Controller with Bumpless Transfer for an Unmanned Surface Vehicle
(Master thesis, 2019)Denne masteroppgaven er basert på prosjektoppgaven “Systemidentifikajson av et ubemannet overflatefartøy med to faste propeller”. Prosjektoppgaven legger frem en metode for å finne modellparameterne til en autopilotmodell ... -
Gain-scheduled steering control for a wave-propelled unmanned surface vehicle
(Peer reviewed; Journal article, 2022)The persistent observation of oceanographic phenomena is nowadays hampered by technological limitations, that prevent marine robotic platforms to autonomously execute scientific surveys for extended periods of time. The ... -
GANs enabled super-resolution reconstruction of wind field
(Peer reviewed; Journal article, 2020)Atmospheric flows are governed by a broad variety of spatio-temporal scales, thus making real-time numerical modeling of such turbulent flows in complex terrain at high resolution computationally unmanageable. In this ... -
GANs enabled super-resolution reconstruction of wind field
(Peer reviewed; Journal article, 2020)Atmospheric flows are governed by a broad variety of spatio-temporal scales, thus making real-time numerical modeling of such turbulent flows in complex terrain at high resolution computationally unmanageable. In this ... -
Gas Lift Optimization Using Python and Prosper Well Models
(Master thesis, 2022)Arbeidet utført i denne masteroppgaven har hatt som mål å maksimere produksjon av olje innenfor begresninger på trykk, gassløftrate og andre prosessbegrensninger. Brønn-modellen, som beskriver oppførselen til en brønn når ... -
Gate controlling MPCs as Part of a cascaded MPC Structure, used for harmonic Mitigation in a Ship Power System
(Master thesis, 2018)This thesis studies the effect of controlling gate switches in an APF using FCS-MPC. This gave a cascaded MPC structure. Where internal states and a calculated reference from the first MPC is used by a second MPC. The ... -
Gaussian Field Current Estimation from Drift Sea Ice Tracking with the Labeled Multi-Bernoulli Filter
(Chapter, 2017)In polar region operations, drift sea ice positioning and tracking is useful for both scientific and safety reasons. Modeling ice movements has proven difficult, not least due to the lack of information of currents and ... -
Gaussian Processes for long-term trajectory prediction using historical AIS data
(Master thesis, 2021)For at autonome overflate-fartøyer (ASVer) skal kunne operere trygt er det essensielt med robuste antikollisjonssystemer. Slike systemer innebærer ikke bare at et fartøy må kunne reagere i det det oppstår farlige situasjoner, ... -
General Utilisation System for Timed Application and Fast Scheduling Over Network
(Master thesis, 2012)In this thesis, an experimental runtime system for utilizingthe computational power of a multi-computer environment is presented.Through simple benchmark tests it is shown how some taskswill have a considerate speed-up ... -
A Generalization of Synergistic Hybrid Feedback Control with Application to Maneuvering Control of Ships
(Chapter, 2022)This paper generalizes results on synergistic hybrid feedback control. Specifically, we propose a generalized definition of synergistic Lyapunov functions and feedbacks which allows the logic variable in traditional ... -
Generalized Lyapunov Demodulator for Amplitude and Phase Estimation by the Internal Model Principle
(Journal article; Peer reviewed, 2019)Effective demodulation of amplitude and phase is a requirement in a wide array of applications. Recent efforts have increased the demodulation performance, in particular, the Lyapunov demodulator allows bandwidths up to ... -
The Generalized Lyapunov Demodulator: High-Bandwidth, Low-Noise Amplitude and Phase Estimation
(Journal article, 2022)Effective demodulation of amplitude and phase is a requirement in a wide array of applications. Recent efforts have increased the demodulation performance, in particular, the Lyapunov demodulator allows bandwidths up to ... -
Generalized MIMO Sequence Impedance Modeling and Stability Analysis of MMC-HVDC With Wind Farm Considering Frequency Couplings
(Peer reviewed; Journal article, 2020)Recently, small-signal stability of the modular multilevel converter (MMC) based high-voltage direct current (HVDC) transmission for wind farm integration has attracted great attentions. The impedance-based frequency-domain ... -
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 ...