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System Identification and Spatio-Temporal Kalman Filtering for Muscular Pressure Data
(Master thesis, 2020)Denne masteroppgaven er et første skritt mot å oppnå ett glattet estimat av trykket som skapes av bekkenbunnsmuskulaturen. Metoden som presenteres kan deles inn i to skritt. Først gjøres system identifikasjon for å finne ... -
System Identification of Retardation Forces Using Frequency Domain Data
(Master thesis, 2007)The thesis includs how the I.R.Fx toolboxes are developed. Two system identification methods are used in this thesis, realization theory and frequency domain regression. The implementation aspects of the toolbox show that ... -
System Integration and Testing of On-Board Processing System for a Hyperspectral Imaging Payload in a CubeSat
(Master thesis, 2020)På NTNU jobber et tverrfaglig team som en del av NTNU SmallSatLab med å designe og utvikle nyttelast for en kubesatellitt. Nyttelasten skal integreres i en satellittbuss levert av NanoAvionics, med planlagt oppskytning i ... -
System Integration of Unmanned Aerial Vehicle with Thermal Camera
(Master thesis, 2016)This thesis describes the implementation of two systems, both relevant to the FLIR Tau 2 thermal camera, for use in a UAV payload with the aim of increasing the efficiency and cost-effectiveness of the existing system. The ... -
System Training and Assessment in Simultaneous Proportional Myoelectric Prosthesis Control
(Journal article; Peer reviewed, 2014)Background Pattern recognition control of prosthetic hands take inputs from one or more myoelectric sensors and controls one or more degrees of freedom. However, most systems created allow only sequential control of one ... -
System-Wide Harmonic Mitigation in a Diesel Electric Ship by Model Predictive Control
(Journal article; Peer reviewed, 2016)Email Print Request Permissions This paper proposes a system-oriented approach for mitigating harmonic distortions by utilizing a single Active Power Filter (APF) in an electrical grid with multiple buses. Common practice ... -
A systems approach to hazard identification for solar-powered and wave-propelled unmanned surface vehicle
(Peer reviewed; Journal article, 2024)Decarbonization is a trend in the maritime industry and may include the use of alternative energy sources on ships. At the same time, autonomous ships are under development. In the future, the two technologies may be ... -
Systems Integration and Communication in Autonomous Unmanned Vehicles in Marine Environments
(Doctoral theses at NTNU;2018:359, Doctoral thesis, 2018)This thesis highlights how unmanned vehicles can be utilised to boost selected maritime natural sciences research scenarios in remote locations, such as the Arctic The thesis is divided into two parts. In the first part ... -
Tablet User Interface Evaluation for a Portable Ultrasound System and Real time Doppler SpectrumProcessing
(Master thesis, 2013)In this thesis, real time Doppler spectrum processing and Tablet user interface evaluation for portable ultrasound system is done.In most ultrasound machines, fast fourier transform and other spectral processing requires ... -
Tag use to monitor fish behaviour in aquaculture: a review of benefits, problems and solutions
(Peer reviewed; Journal article, 2021)A variety of tagging techniques are now available to monitor fish behaviour, physiology and their environmental experience. Tagging is frequently used in aquaculture research to monitor free-swimming individuals within ... -
Taming an autonomous surface vehicle for path following and collision avoidance using deep reinforcement learning
(Peer reviewed; Journal article, 2020)In this article, we explore the feasibility of applying proximal policy optimization, a state-of-the-art deep reinforcement learning algorithm for continuous control tasks, on the dual-objective problem of controlling an ... -
Taming an autonomous surface vehicle for path following and collision avoidance using deep reinforcement learning
(Peer reviewed; Journal article, 2020)In this article, we explore the feasibility of applying proximal policy optimization, a state-of-the-art deep reinforcement learning algorithm for continuous control tasks, on the dual-objective problem of controlling an ... -
Task-driven Compression for Collision Encoding based on Depth Images
(Peer reviewed; Journal article, 2023)This paper contributes a novel learning-based method for aggressive task-driven compression of depth images and their encoding as images tailored to collision prediction for robotic systems. A novel 3D image processing ... -
Task-Priority Control of Redundant Robotic Systems using Control Lyapunov and Control Barrier Function based Quadratic Programs
(Peer reviewed; Journal article, 2020)This paper presents a novel task-priority control framework for redundant robotic systems based on a hierarchy of control Lyapunov function (CLF) and control barrier function (CBF) based quadratic programs (QPs). The ... -
Task-Priority Operational Space Control for Vehicle-Manipulator Systems with Modelling Errors
(Journal article; Peer reviewed, 2023)The dynamics of underwater vehicle-manipulator systems (UVMSs) are very hard to model, which reduces the feasibility of model-based control approaches. Even so, such strategies prove useful in redundancy resolution. In ... -
TDD and Machine Learning of SEPTIC MPC application
(Master thesis, 2022)Høsten 2021 fordypningsprosjektet implementerte med hell, funksjonalitet i Equi- nor’s MPC SEPTIC ved å ta i bruk TDD. Masteroppgaven tar dette funnet videre, og ser på hvordan kompleks funksjonalitet som involverer testing ... -
Teaching a Robot to Grasp Real Fish by Imitation Learning from a Human Supervisor in Virtual Reality
(Journal article, 2018)We teach a real robot to grasp real fish, by training a virtual robot exclusively in virtual reality. Our approach implements robot imitation learning from a human supervisor in virtual reality. A deep 3D convolutional ... -
Team Situation Awareness in Practice
(Master thesis, 2015)To work in a team of operators in a control room can be both stressful and \newline challenging. When a situation occurs that needs interaction, the basic \newline understanding of the current situation ought to be equal ... -
Techniques for efficient covariance propagation in the Extended/Unscented Kalman Filter based on model reduction
(Master thesis, 2013)Physical processes gives engineers and researchers challenging task, such as modeling, simulation and control. One of the most important steps in these procedures are the ability to predict the systems behavior, which due ... -
Techniques for signal reconstruction from sparsely compressed vibration measurements
(Master thesis, 2022)Verden er i stadig digitalisering og vi lener oss mer og mer på teknologi for å fortsette utviklingen av omverdenen. En stor del av dette innebærer å samle informasjon. Ettersom trådløse sensorer blir mindre plasseres de ...