Blar i Institutt for teknisk kybernetikk på tittel
Viser treff 1195-1214 av 3740
-
Echo State Networks for Virtual Flow Metering in Gravity Separator
(Master thesis, 2019)Virtuell volumstrøm estimering (Virtual Flow Metering, VFM), er et begrep som innebærer å estimere volumraten for de ulike fasene i en fler-fase volumstrøm uten å måle de direkte. Istedenfor så brukes data som er relatert ... -
Economic and Multi-objective Model Predicitve Control
(Doktoravhandlinger ved NTNU, 1503-8181; 2014:179, Doctoral thesis, 2014) -
Economic model predictive control for snake robot locomotion
(Journal article; Peer reviewed, 2019)Abstract— In this work, the control of snake robot loco-motion via economic model predictive control (MPC) is studied.Only very few examples of applications of MPC to snake robotsexist and rigorous proofs for recursive ... -
Economic Stochastic Model Predictive Control Using the Unscented Kalman Filter
(Journal article; Peer reviewed, 2018)Economic model predictive control is a popular method to maximize the efficiency of a dynamic system. Often, however, uncertainties are present, which can lead to lower performance and constraint violations. In this paper, ... -
Economic stochastic nonlinear model predictive control of a semi-batch polymerization reaction
(Journal article; Peer reviewed, 2019)Batch processes are ubiquitous in the chemical industry and difficult to control, such that nonlinear model predictive control is one of the few promising control techniques. Many chemical process models however are affected ... -
EEG Channel-Selection Method for Epileptic-Seizure Classification Based on Multi-Objective Optimization
(Peer reviewed; Journal article, 2020)We present a multi-objective optimization method for electroencephalographic (EEG) channel selection based on the non-dominated sorting genetic algorithm (NSGA) for epileptic-seizure classification. We tested the method ... -
EEG source imaging of hand movement-related areas: An evaluation of the reconstruction accuracy with optimized channels
(Journal article; Peer reviewed, 2023)The hand motor activity can be identified and converted into commands for controlling machines through a brain-computer-interface (BCI) system. Electroencephalography (EEG) based BCI systems employ electrodes to measure ... -
EEG-Based Alcohol Detection System with AI Techniques: Towards the Design of BCI Systems for Driver Monitoring
(Master thesis, 2023)Denne masteroppgaven undersøker muligheten for å detektere tilstedeværelsen av alkohol i elektroencefalografi (EEG)-signaler. I dag er alkoholpåvirket kjøring et verdensomspennende problem. Målet med dette prosjektet er å ... -
EEG-Based Alcohol Detection System with AI Techniques: Towards the Design of BCI Systems for Driver Monitoring.
(Master thesis, 2023)Denne masteroppgaven undersøker muligheten for å detektere tilstedeværelsen av alkohol i elektroencefalografi (EEG)-signaler. I dag er alkoholpåvirket kjøring et verdensomspennende problem. Målet med dette prosjektet er å ... -
EEG-Based Emotion Experiment: Automatic Recognition with Machine Learning
(Master thesis, 2023)Følelser er en viktig del av livet og har en stor innvirkning i vårt daglige liv. Det å forstå og kunne kontrollere følelser kan for noen føre til bedre selvbevissthet, empati og livskvalitet. Tradisjonelle metoder for ... -
EEG-based Subjects Identification based on Biometrics of Imagined Speech using EMD
(Chapter, 2018)When brain activity ions, the potential for human capacities augmentation is promising. In this paper, EMD is used to decompose EEG signals during Imagined Speech in order to use it as a biometric marker for creating a ... -
Effect of cage size on oxygen levels in Atlantic salmon sea cages: A model study
(Peer reviewed; Journal article, 2022)The supply of dissolved oxygen (DO) to salmon in sea cages depends on many interacting factors including biomass density, temperature and current speed. With other factors being equal, hypoxic conditions are more likely ... -
Effect of non-ideal power take-off on the electric output power of a wave energy converter under suboptimal control
(Chapter, 2021)This work investigates how the physical limitations and losses of an electric power takeoff (PTO) system affect the production of power for a wave energy converter (WEC) under suboptimal control strategies. The damping of ... -
Effect of sensor location on continuous intraperitoneal glucose sensing in an animal model
(Journal article; Peer reviewed, 2018)In diabetes research, the development of the artificial pancreas has been a major topic since continuous glucose monitoring became available in the early 2000’s. A prerequisite for an artificial pancreas is fast and reliable ... -
Effektforbruk ved svømmeanlegg (Pirbadet)
(Master thesis, 2019)Elektrisk energi- og effektforbruk er ventet å øke i årene fremover. Kraftnettet må være dimensjonert for den høyeste tenkelige effekttoppen, det er derfor ønskelig å begrense topper i effektforbruket. Målet med denne ... -
Efficient Implementation of Dual First Order Algorithms - Application in Embedded MPC
(Master thesis, 2014)In this Thesis, numerical implementation of optimization algorithms for convex quadratic problems that appear in model predictive control for embedded linear systems, are examined. Different versions of dual first order ... -
Efficient Modelling Methodology for Reconfigurable Underwater Robots
(Journal article; Peer reviewed, 2016)This paper considers the challenge of applying reconfigurable robots in an underwater environment. The main result presented is the development of a model for a system comprised of N, possibly heterogeneous, robots dynamically ... -
Efficient multiobjective optimization employing Gaussian processes, spectral sampling and a genetic algorithm
(Journal article; Peer reviewed, 2018)Many engineering problems require the optimization of expensive, black-box functions involving multiple conflicting criteria, such that commonly used methods like multiobjective genetic algorithms are inadequate. To tackle ... -
Efficient optimization for Model Predictive Control in reservoir models
(Master thesis, 2009)The purpose of this thesis was to study the use of adjoint methods for gradient calculations in Model Predictive Control (MPC) applications. The goal was to find and test efficient optimization methods to use in MPC on oil ... -
Efficient optimization in Model Predictive Control
(Master thesis, 2009)Adjoint based gradient calculation for Nonlinear Model Predictive Control.