Browsing Institutt for teknisk kybernetikk by Title
Now showing items 1914-1933 of 3789
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Laying The Foundation For an Intelligence-Powered Extendable Digital Twin Framework For Autonomous Sea Vessels
(Master thesis, 2022)Mennesker er hovedårsaken til at det oppstår ulykker til sjøs. Det er derfor ønskelig i noen tilfeller å ta i bruk autonome kjøretøy som er i stand til å fungere uten at mennesker må blande seg inn. Et rammeverk for ... -
Leader-follower Dynamic Synchronization of Surface Vessels
(Journal article, 2006)This paper introduces a dynamic leader-follower synchronization scheme for surface vessels that specifies the behavior of the follower vessels as they approach their desired position in a formation, or in a docking operation. ... -
Leader-Follower Synchronisation for a Class of Underactuated Systems
(Lecture Notes in Control and Information Sciences;470, Chapter; Peer reviewed, 2017)In this work leader-follower synchronization is considered for underactuated followers in an inhomogeneous multi-agent system. The goal is to synchronise the motion of a leader and an underactuated follower. Measurements ... -
Leader-Follower Synchronization of Mechanical Systems
(Doktoravhandlinger ved NTNU, 1503-8181; 2010:58, Doctoral thesis, 2010)In this thesis a nonlinear output feedback scheme for leader-follower synchronization of rigid robot manipulators and ships is developed. The scheme is also applicable to other systems with Lagrangian dynamics in the same ... -
Leak Detection in Pipelines by the use of State and Parameter Estimation
(Master thesis, 2014)A model based estimation process is implemented in simulation of a transmissionline for the purpose of leak detection. The model has one inlet, one branch and twooutlets. The objective of this thesis is aimed at determining, ... -
Leak Detection in Two-Phase Oil and Gas Pipelines by Parameter- and State Estimation
(Master thesis, 2008)A two-fluid model is used to derive a set of boundary conditions. The conditions are produced numerically, and try to imitate the behavior of output injection by using a linearized version of the model. In order to ensure ... -
Leak detection, size estimation and localization in branched pipe flows
(Peer reviewed; Journal article, 2022)We design a leak detection, size estimation and localization algorithm for a branched pipe system, requiring flow and pressure measurements to be taken at the inlet and outlet boundaries, only. By showing that the pipe ... -
Leak detection, size estimation and localization in water distribution networks containing loops
(Journal article, 2022)We consider the problem of leak detection, size estimation and localization of leaks in a water distribution network with ring topology, with flow and pressure measurements taken at junctions only. The pipeline system is ... -
Learning an AUV docking maneuver with a convolutional neural network
(Chapter, 2017)This paper proposes and implements a convolutional neural network (CNN) that maps images from a camera to an error signal to guide and control an autonomous underwater vehicle into the entrance of a docking station. The ... -
Learning an End-to-End Steering Model for an Unmanned Surface Vehicle
(Master thesis, 2019)Hindringsunngåelse med maritime fartøy, slik som Ubemannede Overflatefartøy (UOF), har tradisjonelt sett blitt løst ved hjelp av spesialiserte moduler som er designet og optimalisert separat fra hverandre. Denne tilnærmelsen ... -
Learning and Penalty Methods for the Feasibility Pump in Mixed Integer Nonlinear Programming
(Master thesis, 2017). -
Learning app architecture and development in iOS
(Master thesis, 2023)Utforske og lære kjerne konsepter innen iOS app utvikling, som for exempel protocols og views, samt noen program arkitekturer som MVVM og avhengighetsinjeksjon. Lagring diskuteres også der hovedsaklig Firebase Firestore ... -
Learning by DIY - Exploring the Pedagogical Potential of the Serial Two-Tank System in a Control Theory Context
(Master thesis, 2017)With the aim of elevating the educational outcome of practical laboratory work in an engineering context, this thesis proposes a complete review of how to build, analyze, simulate and control a serial two-tank system (STTS). ... -
Learning Compliant Robotic Manipulation
(Master thesis, 2021)Medgjørlig robotmanipulering blir stadig viktigere innen robotstyring. For å utføre komplekse interaksjonsoppgaver i den virkelige verden, er det avgjørende. Automatisk ultralydundersøkelse utført av en robotarm er et ... -
Learning for Model Predictive Control
(Doctoral theses at NTNU;2023:261, Doctoral thesis, 2023)This thesis focuses on learning-based control, with an emphasis on control designs for which we can analyze stability and robustness properties. The topic is motivated by the lack of available controllers for complex, ... -
Learning-Based Collision Avoidance for Micro Aerial Vehicles in Confined Environments
(Master thesis, 2021)I denne mastergradsoppgaven presenterer vi en ny måte å navigere et ubemannet flygende fartøy i trange omgivelser ved hjelp av laserbaserte avstandsmålere. Vi bryter denne navigasjonsprosessen inn i to deler, persepsjon ... -
Learning-Based Collision Avoidance for Micro Aerial Vehicles in Confined Environments
(Master thesis, 2021)I denne mastergradsoppgaven presenterer vi en ny måte å navigere et ubemannet flygende fartøy i trange omgivelser ved hjelp av laserbaserte avstandsmålere. Vi bryter denne navigasjonsprosessen inn i to deler, persepsjon ... -
Learning-based Collision-free Navigation for Aerial Robots
(Master thesis, 2022)Læringsbaserte tilnærminger i UAV-er har fått økt oppmerksomhet de siste årene. Motivasjonen for den økende populariteten stammer fra tradisjonelle metoder, som SLAM, hvor dataassosiasjon er et aktivt og utfordrende ... -
Learning-Based Control Of Articulated Intervention Autonomous Underwater Vehicles
(Master thesis, 2021)Artikulerte intervensjons-autonome undervannsfarkoster (AIAUV) er redundante og overaktiverte undervannsmanipulatorer med kraftige thrustere og en slank kropp som er i stand til å utføre manipulasjonsoppgaver. Redundansen ... -
Learning-Based Navigation in Cluttered Environments Using A Deep Collision Prediction Network
(Master thesis, 2021)Trygg og pålitelig navigasjon med ubemannede luftfartøy har de siste årene fått økt oppmerksomhet, mye grunnet en betydelig prisreduksjon av ombord-sensorer, aktuatorer og innvevde datamaskiner kraftige nok til å kjøre ...