Blar i Institutt for teknisk kybernetikk på tittel
Viser treff 2861-2880 av 3674
-
Reducing power transients in diesel-electric dynamically positioned ships using re-positioning
(Journal article, 2014)A thrust allocation method with a functionality to assist power management systems by using the hull of the ship as a store of potential energy in the field of environmental forces has been recently proposed and demonstrated ... -
Redundant MEMS-based Inertial Navigation using Nonlinear Observers
(Journal article; Peer reviewed, 2017)We present two alternative methods for fault detection and isolation (FDI) with redundant Microelectromechanical system (MEMS) inertial measurement units (IMUs) in inertial navigation systems (INS) based on nonlinear ... -
Redundant System for Precision Landing of VTOL UAVs
(Master thesis, 2018)This thesis investigates how Vertical Take Off and Landing (VTOL) Unmanned Aerial Vehicles (UAVs) can be automatically landed with high precision in a robust way. Automatic precision landing can allow pilots to land in ... -
Reference optimisation of uncertain offshore hybrid power systems with multi-stage nonlinear model predictive control
(Chapter, 2023)This paper presents a modified multi-stage economic nonlinear model predictive controller (M-ENMPC) for reference optimisation of isolated, uncertain offshore hybrid power systems (OHPSs). These systems require control ... -
Refining Dynamics Identification for Co-Bots: Case Study on KUKA LWR4+
(Journal article; Peer reviewed, 2017)This paper presents an attempt to improve dynamic identification procedure for robotic manipulators, such that obtained models are appropriate for trajectory planning and motion control. In addition to algorithms development, ... -
Regularization when modeling with biased simulation data as a prior
(Chapter, 2023)Embedding physical knowledge in system identification increases the generalization capabilities of the identified models. For complex engineering systems, such as a process plant, the most complete and detailed quantitative ... -
A regularized Moving Horizon Estimator for combined state and parameter estimation in a bioprocess experimental application
(Peer reviewed; Journal article, 2023)Due to the lack or high costs of measurement devices to monitor and control metabolites in microbial cultivation processes, state estimators are often required. These estimators depend on available on-line measurements and ... -
Regularized Nonlinear Moving-Horizon Observer With Robustness to Delayed and Lost Data
(Journal article; Peer reviewed, 2013)This study evaluates the performance of a new shock tube facility used to produce blast loading in controlled laboratory environments. The facility was found to generate a planar shock wave over the tube cross section by ... -
Regulation of ICT security in the petroleum sector
(Research report, 2023)The purpose of this report is to clarify how the protection of information and communication technology (ICT security) in the petroleum industry is regulated under current regulations and to shed light on the expectations ... -
Regulering av IKT-sikkerhet i petroleumssektoren
(Research report, 2021)Formålet med denne rapporten er å klargjøre hvordan beskyttelse av informasjons‐ og kommunikasjonsteknologi (IKT‐sikkerhet) i petroleumsindustrien blir regulert i gjeldende regelverk og belyse forventninger fra myndighetene ... -
Regulering av oljebrønner med varierende aktive begrensninger
(Master thesis, 2008)I offshore produksjonsanlegg er vanligvis brønnene regulert manuelt, mens separasjonsanlegget er regulert ved hjelp av en desentralisert regulator. Det er tydelig at en slik kontroll struktur ikke er optimalt produksjonsmessig. ... -
Regulering av ubemannet farkoster for operasjoner på eksponerte havbrukslokaliteter
(Master thesis, 2021)Denne masteroppgaven foreslår to reguleringslover for hastighets- og retningsregulering av en remotely operated vehicle (ROV) for autonom traversering av en not for bruk i fiskeoppdrett. Hovedmålet til begge reguleringslovene ... -
Regulering og optimalisering av Shell Eco-maraton kjøretøy
(Master thesis, 2011)Å bygge en bil som kan kjøre tusen kilometer på energien i en eneste liter bensin; er ingeniørkunst. Når tusenvis av Europas ypperste studenter innen teknologi og ingeniørvitenskap hvert år møtes i konkurransen Shell ... -
Reinforcement Learning and Predictive Safety Filtering for Floating Offshore Wind Turbine Control
(Master thesis, 2021)Kunstig intelligens blir sett på som et av de mest betydningsfulle sprangene innen teknologi de siste årene. Underkategorien forsterkende læring har vist eksepsjonelle resultater for problemer som tidligere var antatt ... -
Reinforcement Learning and Predictive Safety Filtering for Floating Offshore Wind Turbine Control
(Master thesis, 2021)Kunstig intelligens blir sett på som et av de mest betydningsfulle sprangene innen teknologi de siste årene. Underkategorien forsterkende læring har vist eksepsjonelle resultater for problemer som tidligere var antatt ... -
Reinforcement Learning for Batch Bioprocess Optimization
(Peer reviewed; Journal article, 2020)Bioprocesses have received a lot of attention to produce clean and sustainable alternatives to fossil-based materials. However, they are generally difficult to optimize due to their unsteady-state operation modes and ... -
Reinforcement Learning for Batch-to-Batch Bioprocess Optimisation
(Chapter, 2019)Bioprocesses have received great attention from the scientific community as an alternative to fossil-based products by microorganisms-synthesised counterparts. However, bioprocesses are generally operated at unsteady-state ... -
Reinforcement Learning for Fast, Map-Free Navigation in Cluttered Environments Using Aerial Robots
(Master thesis, 2022)Autonom navigering i stadig mer komplekse domener byr på nye utfordringer og stiller spørsmål ved effektiviteten og kapasiteten til tradisjonelle modellbaserte metoder. Selv om tradisjonelle metoder har vært vellykkede for ... -
Reinforcement Learning for Optimization of Nonlinear and Predictive Control
(Doctoral theses at NTNU;2022:45, Doctoral thesis, 2022)Autonomous systems extend upon human capabilities and can be equipped with superhuman attributes in terms of durability, strength, and perception to name a few, and can provide numerous benefits such as superior efficiency, ... -
Reinforcement Learning for Robotic Ultrasound
(Master thesis, 2022)Denne masteroppgaven er et studie av “deep reinforcement learning” for robotisert ultralyd. Å bruke autonome roboter i helsesektoren er et komplekst bruksområde med mange faktorer å ta hensyn til. For eksempel, utfordingen ...