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Practical application of potential fields path planning on robot manipulator
(Master thesis, 2022)Lakseoppdrett er en av Norges største industrier, med landbasert produksjon basert på innovasjon fra 1980-tallet. Mange teknologiske fremskritt er gjort siden konstruksjonen av de tidligste produksjonsfasilitetene, er ... -
Practical Artifact Cancellation for Myoelectric Prosthesis Control
(Master thesis, 2008)Prostheses are artificial body parts that can be used by amputees. Myoelectric prostheses are controlled by so-called surface electromyograms (sEMG) that are acquired on the skin surface of the residual limb. A well-known ... -
Practical Experiments on the Efficiency of the Remote Presence: Remote Inspection in an Offshore Wind Turbine
(Master thesis, 2012)Offshore wind power has become a growing interest in the worldwide society. New research and investigation in this kind of technology is increasing year after year. Thus, the inspection on the offshore wind turbines is ... -
Practical extremum-seeking control for gas-lifted oil production
(Chapter, 2017)We present a distributed extremum seeking algorithm for the problem of production optimization of multiple gas lifted wells. The algorithm is based on “synchronization” of production performance gradients for all individual ... -
Practical NMPC of Electrical Submersible Pumps based on Echo State Networks
(Master thesis, 2020)Dette prosjektet går ut på å kontrollere en ESP (electric submersible pump) ved bruk av ESN-PNMPC (Echo state network- practical nonlinear model predictive control) . Å kontrollere en ikke lineær dynamisk prosess kan ... -
Practical relevance of the Petri nets model language for a real-time multi-processor system
(Master thesis, 2014)This is a master thesis that studies the practical applications of the Petri nets a graphical and mathematical modelling tool [1] - for concurrent, real-time systems. Petri nets are a powerful tool for creating and analysing ... -
Pre-Launch Assembly, Integration, and Testing Strategy of a Hyperspectral Imaging CubeSat, HYPSO-1
(Peer reviewed; Journal article, 2022)Assembly, Integration, and Verification/Testing (AIV or AIT) is a standardized guideline for projects to ensure consistency throughout spacecraft development phases. The goal of establishing such a guideline is to assist ... -
Pre-Launch Calibration of the HYPSO-1 Cubesat Hyperspectral Payload
(Journal article; Peer reviewed, 2022) -
Precision Airdrop from a Fixed-Wing Unmanned Aerial Vehicle
(Master thesis, 2014)Accurate mapping of the polar regions requires reliable placement ofwireless transmitting sensors, also known as beacons, on icebergs anddrift ice. This thesis considers the use of a specific fixed-wing unmannedaerial ... -
Precision control of fixed-wing UAV and robust navigation in GNSSdenied environments
(Doctoral theses at NTNU;2020:198, Doctoral thesis, 2020)Unmanned aerial vehicles (UAVs) have been adopted to a wide range of applications, but fully autonomous flight is still utopian, especially for safety-critical applications. This thesis seeks to close this gap by mainly ... -
Precision Deep-Stall Landing of Fixed-Wing UAVs using Nonlinear Model Predictive Control
(Peer reviewed; Journal article, 2020)To be able to recover a fixed-wing unmanned aerial vehicle (UAV) on a small space like a boat deck or a glade in the forest, a steep and precise descent is needed. One way to reduce the speed of the UAV during landing is ... -
Precision fish farming: A new framework to improve production in aquaculture
(Journal article; Peer reviewed, 2017)Aquaculture production of finfish has seen rapid growth in production volume and economic yield over the last decades, and is today a key provider of seafood. As the scale of production increases, so does the likelihood ... -
Predictable computing for cyber-physical systems
(Doctoral theses at NTNU;2024:49, Doctoral thesis, 2024)Cyber-physical systems encompass a vast category of systems where computers operate in feedback with physical systems. Cyber-physical systems hold the potential for enormous societal impact, comparable to that of the ... -
Predicting oxygen levels in Atlantic salmon (Salmo salar) sea cages
(Peer reviewed; Journal article, 2022)Dissolved oxygen (DO) concentration is an important factor affecting fish welfare and growth in Atlantic salmon sea cages. As an operational prediction tool, and to aid our understanding of how DO concentrations are affected ... -
Predicting the Speed of a Wave-Propelled Autonomous Surface Vehicle Using Metocean Forecasts
(Chapter, 2022)Wave-propelled autonomous surface vehicles are becoming increasingly popular in oceanographic research due to their ability to provide persistent observations of the ocean environment. This type of vehicles are propelled ... -
Prediction Algorithms for the NUTS Attitude Estimator and Robust Spacecraft Attitude Stabilization using Magnetorquers
(Master thesis, 2015)Prediction Algorithms for the Attitude Estimator The attitude estimator is an extended Kalman filter, a recursive algorithm to treat noisy inputs to a dynamical system. The filter is optimal to compute the system s states. ... -
Predictive Control of a District Heating System
(Master thesis, 2017)In this thesis, a model predictive controller has been developed for the district heating network of Stjørdal. A model of the network and a model for the load prediction have also been developed for the MPC controller. The ... -
Predictive Control of Residue on Evaporation: Control Structure Design
(Master thesis, 2007)Summary -
Predictive feedback boundary control of semilinear and quasilinear 2 × 2 hyperbolic PDE–ODE systems
(Peer reviewed; Journal article, 2022)We present a control design for semilinear and quasilinear 2 × 2 hyperbolic partial differential equations with the control input at one boundary and a nonlinear ordinary differential equation coupled to the other. The ... -
Predictive Machine Learning in Semiconductor Production
(Master thesis, 2022)Når Microchip Technology produserer halvledere, produseres store mengder data. Dette prosjektet konstruerer flere datasett som inneholder denne dataen, og finner at maskinlæringsalgoritmer kan brukes med wafer-baserte ...