Blar i Institutt for teknisk kybernetikk på tittel
Viser treff 1367-1386 av 3665
-
Fault-tolerant control allocation: an Unknown Input Observer based approach with constrained output fault directions
(Journal article; Peer reviewed, 2013)This paper focuses on the use of unknown input observers for detection and isolation of actuator and effector faults with control reconfiguration in overactuated systems. The control allocation actively uses input redundancy ... -
Fault-tolerant input allocation with actuator dynamics: finite-time control reconfiguration
(Journal article, 2014)This paper focuses on fault tolerant control allocation for overactuated systems with actuator dynamics. The proposed scheme for fault detection and isolation is based on unknown input observers and the main contribution ... -
Fault-tolerant Position-Mooring Control for Offshore Vessels
(Journal article; Peer reviewed, 2018)Fault-tolerance is crucial to maintain safety in offshore operations. The objective of this paper is to show how systematic analysis and design of fault-tolerance is conducted for a complex automation system, exemplified ... -
Fault-tolerant Sensor Fusion Based on Inertial Measurements and GNSS
(Master thesis, 2013)The standard observer for inertial navigation system (INS) have for many years been the extended Kalman filter. Due to extensive research, in recent years, on nonlinear observer applied with low-cost inertial sensors can ... -
Fault-Tolerant UAV Flight Control System
(Master thesis, 2013)The main focus of this master s thesis is fault-tolerant control systems (FTCSs) for unmanned aerial vehicles (UAVs). The goals are to develop an automatic-flight control system (AFCS) with fault detection and isolation ... -
Feasibility of early meal detection based on abdominal sound.
(Journal article; Peer reviewed, 2019)Background In classical approaches for an artificial pancreas, continuous glucose monitoring (CGM) is the only measured variable used for insulin dosing and additional control functions. The CGM values are subject to time ... -
Feasibility of the UR5 Industrial Robot for Robotic Rehabilitation of the Upper Limbs After Stroke
(Journal article; Peer reviewed, 2018)Robot-assisted therapy is an emerging form of rehabilitation treatment for motor recovery of the upper limbs after neurological injuries such as stroke or spinal cord injury. Robotic rehabilitation devices have the potential ... -
Feasibility of using wearable device bio-metric data for detection of symptoms of infection, related to COVID-19, using ML-methods
(Master thesis, 2021)I lys av nylige hendelser angående utbruddet av COVID-19, har det vært etterspurt bruk av maskinlæringsmetoder for å forsøke å diagnostisere infeksjonen ved hjelp av ikke-tradisjonelle midler. De kliniske testene som utføres ... -
Feature engineering and symbolic regression methods for detecting hidden physics from sparse sensor observation data
(Peer reviewed; Journal article, 2020)We put forth a modular approach for distilling hidden flow physics from discrete and sparse observations. To address functional expressiblity, a key limitation of the black-box machine learning methods, we have exploited ... -
Feature-Based Lidar SLAM for Autonomous Surface Vehicles Operating in Urban Environments
(Master thesis, 2020)I denne oppgaven har et feature-basert lokaliserings og kartleggings (SLAM) system som bruker iSAM2 rammeverket for autonome overflatefartøy (ASV)s i urbane miljø blitt utviklet. Dette systemet kan bli brukt som et back-up ... -
Feature-based pose estimation of ships in monocular camera images
(Master thesis, 2020)En metode for å beregne orienteringen til et fartøy basert på en sekvens av bilder blir presentert. Metoden blir demonstrert både på syntetiske bilder fra et simulert miljø og ekte bilder fra Trondheim havn. OpenCV blir ... -
Features for Movement based Prediction of Cerebral Palsy
(Master thesis, 2009)Shortly after birth, healthy infants exhibit so-called fidgety movements, while infants who later develop cerebral palsy (CP) lack these movements. General Movement Assessment (GMA) which is a clinical method, has proven ... -
Feed Distribution in Large Scale Sea Cage Aquaculture: Experiments, modelling and simulation
(Doctoral theses at NTNU;2017:14, Doctoral thesis, 2017)The objective of this thesis was to gain new insight into the process of feeding in large scale sea cage aquaculture and investigate novel methods of feeding in order to increase profitability, welfare and minimize ... -
Feed intake in Atlantic salmon fed with or without surface spreading of feed
(Journal article, 2020)In intensive salmon farming, it is common practice to spread the feed over a large surface area, assuming that spreading of the feed increases feed intake in the fish. However, the impact on the feed pellets during spreading ... -
Feed intake in Atlantic salmon fed with two different spreading patterns of feed
(Report;14, Research report, 2015)Atlantic salmon with initial body weight 0.6 kg kept in 3.3 m3 tanks was fed one meal daily, either by dropping the feed from one point, or by spreading the feed over the water surface, for one month. The relative feed ... -
Feed spreaders in sea cage aquaculture – Motion characterization and measurement of spatial pellet distribution using an unmanned aerial vehicle
(Journal article; Peer reviewed, 2016)Pneumatic rotary feed spreaders represent essential equipment in the feeding system of present day industrial-scale sea cage aquaculture. This study presents experimentally obtained attitude measurements and corresponding ... -
Feedback control and AI in closed loop: Stability and robustness
(Master thesis, 2019)Tradisjonelt ville man håndtert surge i kompressorsystemer ved å operere langt fra «the surge line». Ved å gjøre dette vil systemet være stabilt i åpen sløyfe og man unngår dermed at surge oppstår. Selv om dette vil sikre ... -
Feedback Error-state Kalman Filter with Time-delay Compensation for Hydroacoustic-aided Inertial Navigation of Underwater Vehicles
(Peer reviewed; Journal article, 2023)This article is intended as a tutorial to assist engineers who want to develop and implement low-cost underwater vehicle inertial navigation systems (INS) aided by time-delayed hydroacoustic position measurements. A ... -
Feedback Linearization Control for Systems with Mismatched Uncertainties via Disturbance Observers
(Peer reviewed; Journal article, 2018)This paper focuses on a novel feedback linearization control (FLC) law based on a self-learning disturbance observer (SLDO) to counteract mismatched uncertainties. The FLC based on BNDO (FLC-BNDO) demonstrates robust control ... -
Feedback linearizing neural network controllers
(Master thesis, 2019)Når reguleringssystemer anvendes i praksis er ukjent og umodellert dynamikk et tilbakevendende problem. Ved anvendelse av avanserte reguleringstekniske metoder, som modellbasert prediktiv og tilbakekoblingslineariserende ...