Now showing items 557-576 of 3640

    • Calculation of Critical Fault Recovery Time for Nonlinear Systems Based on Region of Attraction Analysis 

      Tabatabaeipour, S. Mojtaba; Blanke, Mogens (Journal article; Peer reviewed, 2014)
      In safety critical systems, the control system is composed of a core control system with a fault detection and isolation scheme together with a repair or a recovery strategy. The time that it takes to detect, isolate, and ...
    • Calibrating range measurements of lidars using fixed landmarks in unknown positions 

      Alhashimi, Anas; Magnusson, Martin; Knorn, Steffi; Varagnolo, Damiano (Peer reviewed; Journal article, 2021)
      We consider the problem of calibrating range measurements of a Light Detection and Ranging (lidar) sensor that is dealing with the sensor nonlinearity and heteroskedastic, range-dependent, measurement error. We solved the ...
    • Calibrating range measurements of lidars using fixed landmarks in unknown positions 

      Alhashimi, Anas; Magnusson, Martin; Knorn, Steffi; Varagnolo, Damiano (Journal article; Peer reviewed, 2020)
      We consider the problem of calibrating range measurements of a Light Detection and Ranging (lidar) sensor that is dealing with the sensor nonlinearity and heteroskedastic, range-dependent, measurement error. We solved the ...
    • Calibrating Robotic Systems: The Case Study Of The Butterfly Robot 

      Tønnessen, Tor Arve (Master thesis, 2021)
      "Sommerfugl" - roboten er et referansesystem for uttesting av unlineære reguleringsmetoder og algoritmer for bevegelsesplanlegging, og dens dynamikk er komplisert. Grunnet dynamikkens kompleksitet, er det nødvendig med ...
    • Camera-aided Inertial Navigation for Unmanned Aerial Vehicles using Non-linear Observers 

      Fusini, Lorenzo (Doctoral theses at NTNU;2017:225, Doctoral thesis, 2017)
      The objective of this thesis is to investigate solutions for a robust autonomous navigation system for a fixed-wing UAV. Robustness requires the ability to detect faults in the system and to compensate for the consequent ...
    • Camera-assisted AUV navigation in fish cages 

      Strand, Eirik (Master thesis, 2017)
      The usage of Remotely Operated Vehicles (ROVs) for inspection of marine structures such as fish nets is today an essential part of the growing offshore industry. In fish farms, the ROV operator has to spend most of the ...
    • Camera-Based Integrated Indoor Positioning 

      Vintervold, Ylva Stokke (Master thesis, 2013)
      This thesis is motivated by the use of unmanned aerial vehicles for obtaining measurements of the scene in a system for estimation of ice properties. Such systems are needed to ensure safety when conducting marine operations ...
    • Camera-Based Perception System for Autonomous Drones in Search-and-Rescue Missions at Sea 

      Allum, Simen Stensrød (Master thesis, 2023)
      En av de største utfordringene i søk og rednings-operasjoner til sjøs er å lokalisere mennesker i mulige store områder. Mens helikoptre tradisjonelt sett har blitt brukt for å få et fugleperspektiv under søk i sjøen, har ...
    • Campaign For Hyperspectral Data Validation In North Atlantic Coastal Waters 

      Oudijk, Esmée; Hasler, Oliver Kevin; Overaas, H; Marty, Sabine; Williamson, David; Svendsen, T; Berg, Simen; Birkeland, Roger; Halvorsen, D; Bakken, S; Henriksen, Marie Bøe; Alver, Morten; Johnsen, Geir; Johansen, Tor Arne; Stahl, Annette; Kvaløy, Pål; Dallolio, Alberto; Majaneva, Sanna; Fragoso, Glaucia Moreira; Garrett, Joseph (Peer reviewed; Journal article, 2022)
      The high photosynthetic productivity of the Mausund bank on the coast of mid-Norway has given the area important economic and ecologic value. Monitoring chlorophyll-a (chl-a) production can assist in managing the local ...
    • Campaign-based modeling for degradation evolution in batch processes using a multiway partial least squares approach 

      Wu, Ouyang; Bouaswaig, Ala; Imsland, Lars Struen; Schneider, Stefan; Roth, Matthias; Moreno Leira, Fernando (Journal article; Peer reviewed, 2019)
      In the process industry, various types of degradation occur in processing plants, resulting in significant economic losses. Modeling of degradation is important because it provides quantitative insights for consideration ...
    • Cancellation of Movement Artifacts in GlucoseSensor Data 

      Nøstbakken, Roar Tordahl (Master thesis, 2017)
      The BioMKR wearable device developed by Prediktor Medical is aiming to be the first non-invasive continuous glucose monitoring device on the consumer market. The data gathered by the device, however, contains movement ...
    • Capturing big fisheries data: Integrating fishers’ knowledge in a web-based decision support tool 

      Kelly, Cian; Michelsen, Finn Are; Reite, Karl Johan; Kolding, Jeppe; Varpe, Øystein; Prytz Berset, Are; Alver, Morten (Peer reviewed; Journal article, 2022)
      There is increasing interest in utilizing fishers’ knowledge to better understand the marine environment, given the spatial extent and temporal resolution of fishing vessel operations. Furthermore, fishers’ knowledge is ...
    • Carbon Nanomaterial-Based Wing Temperature Control System for In-Flight Anti-Icing and De-Icing of Unmanned Aerial Vehicles 

      Sørensen, Kim Lynge; Strand Helland, Andreas; Johansen, Tor Arne (Journal article, 2015-03)
      Structural changes due to ice accretion are common causes for unmanned aerial vehicle incidents in Arctic regions. For fixed wing unmanned aerial vehicles (UAVs) the leading edge of airfoil surfaces is one of the primary ...
    • A Carrier-Based Discontinuous PWM for Single and Parallel Three-Level T-Type Converters with Neutral-Point Potential Balancing 

      Zhou, Jiayu; Ojo, Joseph Olorunfemi; Tang, Fen; Haruna, Josiah; Loh, Poh Chiang (Peer reviewed; Journal article, 2021)
      The three-level converters have an inherent problem of the neutral-point (NP) voltage unbalance due to the split dc-link capacitors. This NP voltage unbalance degrades the output voltage/current waveform quality. A ...
    • Cartesian thrust allocation algorithm with variable direction thrusters, turn rate limits and singularity avoidance 

      Veksler, Aleksander Vladimirovitsj; Johansen, Tor Arne; Borrelli, Francesco; Realfsen, Bjørnar (Proceedings of the IEEE Conference on Control Applications;2014, Journal article, 2014)
      The literature on thrust allocation algorithms that is currently available usually focuses on solving only a few of the many facets of the thrust allocation problem at a time. This paper presents a unified thrust allocation ...
    • Cascade Attitude Observer for the SLAM filtering problem 

      Bjørne, Elias; Johansen, Tor Arne; Brekke, Edmund Førland (Journal article; Peer reviewed, 2017)
      This article presents an attitude observer that exploits both bearing and range measurements from landmarks, in addition to reference vectors such as magnetometer and accelerometer. It is a gyro bias observer in cascade ...
    • Case study research: the Butterfly Robot 

      Lund, Oskar Rømyhr (Master thesis, 2018)
      Robots that can only manipulate objects by grasping are very restricted and limited in their actions. Nevertheless, manipulation by grasping remains a common feature for robots, as it is the easiest way to always maintain ...
    • Case study research: the ”Butterfly” robot 

      Edlund, Mikal (Master thesis, 2019)
      For at roboter skal ha en sjanse til a komme nær mennesket når det gjelder manipulering av objekter, ma de benytte seg av mer enn bare å gripe for å manipulere objekter. Dette er der utvikling av ikke-gripende manipulering ...
    • Causal connections between socioeconomic disparities and COVID-19 in the USA 

      Banerjee, Tannista; Paul, Ayan; Srikanth, Vishak; Strumke, Inga (Peer reviewed; Journal article, 2022)
      With the increasing use of machine learning models in computational socioeconomics, the development of methods for explaining these models and understanding the causal connections is gradually gaining importance. In this ...
    • Causal Episode Explanations for Reinforcement Learning Applications 

      Kinn, David Aleksander (Master thesis, 2023)
      Denne master oppgaven presenterer en ny metode for omfattende forklaring av hvordan en forsterkningslærende agent handler i en episode. Metoden forklarer hvorfor agenten tar sine handlinger og hvordan disse handlingene ...