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Evaluation of Kalman filters for estimation of the annular bottomhole pressure during drilling
(Master thesis, 2008)Estimation of the annular pressure at critical locations in the well is crucial for high-precision pressure control. Certain parameters which are important in order to determine the pressure profile of the well (in particular ... -
Evaluation of Lyapunov-based adaptive observer using low-order lumped model for estimation of production index in Under-Balanced Drilling
(Journal article; Peer reviewed, 2015)A distributed drift-flux model and a low-order lumped model describing a multiphase (gas-liquid) flow in the well during Under-Balanced Drilling (UBD) has been presented. This paper presents a novel nonlinear adaptive ... -
Evaluation of Methods for Robust, Automatic Detection of Net Tear with Remotely Operated Vehicle and Remote Sensing
(Master thesis, 2014)Accompanying the continuous growth of the aquaculture fish farming industry in the recent years, the usage of Remotely Operated Vehicles (ROV) for regular inspections of net integrity has become increasingly common. For a ... -
Evaluation of the GlucoPred hardware for glucose measurements in a liquid medium
(Master thesis, 2015)The goal of this study is to assess the suitability of the GlucoPred hardware platform, designed for non-invasive glucose measurements through the skin, in terms of glucose detection in liquid samples. This evaluation is ... -
Evaluation of the plant growth regulator Primo®MAXX® (trinexapac-ethyl) on Nordic golf courses. Results from the first evaluation year 2007
(Bioforsk Rapport;, Research report, 2008)This report presents first year results from a two year project evaluating the plant growth regulator Primo MAXX® (trineexapac-ethyl) on Nordic golf courses. -
Evaluation of Variable Impedance-and Hybrid Force/MotionControllers for Learning Force Tracking Skills
(Chapter, 2022)For robots to perform real-world force interaction tasks with human level dexterity, it is crucial to develop adaptable and compliant force controllers. Learning techniques, especially reinforcement learning, provide a ... -
Evaluation of Virtual Inertia Control Strategies for MMC-based HVDC Terminals by P-HiL Experiments
(Chapter; Peer reviewed, 2019)This paper presents an experimental performance evaluation of different control strategies for providing virtual inertia from power electronic converters. The evaluation is based on a laboratory-scale prototype of a ... -
Event-related potential from EEG for a two-step Identity Authentication System
(Peer reviewed; Journal article, 2019)Current problems related to high-level security access are increasing, leaving organizations and persons unsafe. A recent good candidate to create a robust identity authentication system is based on brain signals recorded ... -
Evidence for a general stiffening motor control pattern in neck pain: A cross sectional study
(Journal article; Peer reviewed, 2015)Background: Neck pain is associated with several alterations in neck motion and motor control. Previous studies have investigated single constructs of neck motor control, while few have applied a comprehensive set of tests ... -
An evolve-then-correct reduced order model for hidden fluid dynamics
(Journal article; Peer reviewed, 2020)n this paper, we put forth an evolve-then-correct reduced order modeling approach that combines intrusive and nonintrusive models to take hidden physical processes into account. Specifically, we split the underlying dynamics ... -
Examining the Adverse Effects of Limb Position on PatternRecognition Based Myoelectric Control
(;5627638, Journal article; Peer reviewed, 2010)Pattern recognition of myoelectric signals for the control of prosthetic devices has been widely reported and debated. A large portion of the literature focuses on offline classification accuracy of pre-recorded signals. ... -
Excessive Transverse Coordinates for Orbital Stabilization of (Underactuated) Mechanical Systems
(Chapter, 2020)Transverse linearization-based approaches have become among the most prominent methods for orbitally stabilizing feedback design in regards to (periodic) motions of underactuated mechanical systems. Yet, in an n-dimensional ... -
Execution Time Control: A hardware accelerated Ada implementation with novel support for interrupt handling
(Doktoravhandlinger ved NTNU, 1503-8181; 2012:78, Doctoral thesis, 2012)Execution time control is a technique that allows execution time budgets to be set and overruns to be handled dynamically to prevent deadline misses. This removes the need for the worst-case execution time (WCET) of tasks ... -
Execution Time Management for AVR32 Ravenscar
(Master thesis, 2008)This report describes how the new Ada 2005 execution time features was implemented for the GNAT bare-board Ravenscar run-time environment on the Atmel AVR32 architecture. Efficient and cycle accurate execution time measurement ... -
Exergames for Kinect
(Master thesis, 2013)Denne oppgaven evaluerer nytteverdien av exergames (treningsspill) innen rehabilitering og eldreomsorg. Oppgaven ble gitt av Cyberlab i Trondheim; et selskap som spesialiserer seg på simulasjonsbaserte spill knyttet opp ... -
Exhaust Gas Recirculation Control for Large Diesel Engines - Achievable Performance with SISO Design
(Journal article; Peer reviewed, 2013)This paper investigates control possibilities for Exhaust Gas Recirculation (EGR) on large diesel engines. The goal is to reduce the amount of $NO_x$ in the exhaust gas by reducing the oxygen concentration available for ... -
eXogenous Kalman Filter (XKF) for Visualization and Motion Prediction of Ships using Live Automatic Identification Systems (AIS) Data
(Journal article; Peer reviewed, 2018)This paper addresses the problem of ship motion estimation using live data from Automatic Identification Systems (AIS). A globally exponentially stable observer for visualization and motion prediction of ships has been ... -
eXogenous Kalman Filter for State-of-Charge Estimation in Lithium-ion Batteries
(Journal article; Peer reviewed, 2018)This paper presents State-of-Charge (SoC) estimation of lithium-ion batteries using eXogenous Kalman filter (XKF). The state-space equation for the lithium-ion battery is obtained from the equivalent circuit model (ECM). ... -
Expectation constrained stochastic nonlinear model predictive control of a batch bioreactor
(Chapter, 2017)Nonlinear model predictive control is a popular control approach for highly nonlinear and unsteady state processes, which however can fail due to unaccounted uncertainties. This paper proposes to apply a sample-average ...