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P-HiL Evaluation of Virtual Inertia Support to the Nordic Power System by an HVDC Terminal
(Chapter, 2020)This paper provides an assessment of the effect from virtual inertia provided by an HVDC converter terminal on the Nordic power system. The analysis is based on results from Power-Hardware-in-the-Loop (P-HiL) tests with a ... -
A Painless Deterministic Policy Gradient Method for Learning-based MPC
(Chapter, 2023)The combination of Reinforcement Learning (RL) and Model Predictive Control (MPC) has gained a lot of interest in the recent literature as a way of computing the optimal policies from MPC schemes based on inaccurate models. ... -
Parallel distributed collision avoidance with intention consensus based on ADMM
(Journal article; Peer reviewed, 2024)This paper presents an approach to the problem of collaborative collision avoidance of autonomous inland ships. We propose a distributed model predictive control algorithm that allows ships to negotiate their intention to ... -
Parameter Estimation and Control of a Dual Gradient Managed Pressure Drilling System
(Master thesis, 2009)The increasing demand for oil and gas in the world, and the fact that most of the easily accessible reservoirs are in production or already abandoned, result in a need to develop new resources. These may be new reservoirs ... -
Parameter estimation for estimation of bottom hole pressure during drilling.
(Master thesis, 2009)In this thesis we examine four bottom hole pressure estimators based on adaptive estimation of the friction pressure for the drill string and the annulus. Knowledge about the bottom hole pressure is crucial to achieve ... -
Parameter Estimation in Atomic Force Microscopy: Nanomechanical Properties and High-speed Demodulation
(Doctoral theses at NTNU;2018:146, Doctoral thesis, 2018)Atomic force microscopy (AFM) has become a key enabling technology for high-precision study of materials and biological processes over the last few decades. Since its invention in 1986, it has undergone rapid developments ... -
Parameter Estimation of Axial Pipe Movement of an Oil Field Drill String
(Master thesis, 2017)Drill strings are long slim rods used in well drilling to transmit torque and weight to the drill bit from the surface. As a consequence, these narrow structures experience various vibrations that could damage the well ... -
Parameter Identification in Water Distribution Networks for Leak Detection
(Master thesis, 2024)Denne masteroppgaven fokuserer på å identifisere friksjonsparametere i treformede nettverk, særlig vannfordelingsnettverk. En algoritme utvikles basert på analyse av nettverkstrær med målinger kun ved innløp og utløp. ... -
Parameter-dependent PWQ Lyapunov function stability criteria for uncertain piecewise linear systems
(Journal article; Peer reviewed, 2018)Abstract: The calculation of piecewise quadratic (PWQ) Lyapunov functions is addressed in view of stability analysis of uncertain piecewise linear dynamics. As main contribution, the linear matrix inequality (LMI) approach ... -
Parametric Roll Resonance Monitoring using Signal-based Detection
(Journal article; Peer reviewed, 2015)Extreme roll motion of ships can be caused by several phenomena, one of which is parametric roll resonance. Several incidents occurred unexpectedly around the millennium and caused vast fiscal losses on large container ... -
Parametric Stability Assessment of Single-Phase Grid-Tied VSCs Using Peak and Average DC Voltage Control
(Journal article; Peer reviewed, 2021)A type of peak-value dc voltage control (denoted as PK control) was proposed in the literature for supporting the use of a smaller dc-side capacitance when the single-phase voltage source converter is operated as a static ... -
Parametrisk usikkerhet i modellbasert regulering
(Master thesis, 2019)Denne oppgaven tar i betraktning arbeidet utført på APT-simulatoren som Hans Erik Frøyen startet på i sin masteroppgave. Nicolay Erlbeck og Karl Arthur Unstad videreutviklet denne simulatoren i sine oppgaver. Oppgaven ... -
Partial Brain Model For real-time classification of RGB visual stimuli: A brain mapping approach to BCI
(Chapter, 2019)Brain-computer interface (BCI) applications are characterized by real-time feature extraction and classification. Thus, brain activity reconstruction is not generally performed due to the long computation times required ... -
Partially distributed optimization for mobile sensor path-planning
(Chapter, 2017)Mobile sensor platforms may provide low-cost, versatile means for obtaining high resolution information from spatially distributed processes. The aim of this paper is to efficiently calculate receding horizon-type motion ... -
Particle Filter for Fault Diagnosis and Ropbust Navigation of Underwater Robot
(Journal article; Peer reviewed, 2014)A particle filter (PF)-based robust navigation with fault diagnosis (FD) is designed for an underwater robot, where 10 failure modes of sensors and thrusters are considered. The nominal underwater robot and its anomaly are ... -
Particle Swarm Optimization for Dynamic Risk-Aware Path Following for Autonomous Ships
(Peer reviewed; Journal article, 2022)This work presents the use of particle swarm optimization (PSO) for dynamic risk-aware path following, or waypoint re-planning during autonomous surface navigation in a maritime environment with polygonal grounding obstacles. ... -
Passasjerhåndteringssystem for den autonome urbane passasjerfergen milliAmpere2
(Bachelor thesis, 2023)Denne bacheloroppgaven dokumenterer utviklingen og tankegangen for et passasjerhåndteringssystem for milliAmpere2 i Autoferry-prosjektet til Norges teknisk-naturvitenskapelige universitet (NTNU). Dette omfatter design, ... -
Passive depth estimation using stereo vision, an experimental study
(Master thesis, 2017)This master s thesis is an experimental study on passive stereo techniques for retrieving 3D scene information. The stereo camera system is tested for finding the position of a platform relative to the stereo camera where ... -
Passive learning to address nonstationarity in virtual flow metering applications
(Peer reviewed; Journal article, 2022)Steady-state process models are common in virtual flow meter applications due to low computational complexity, and low model development and maintenance cost. Nevertheless, the prediction performance of steady-state models ... -
Passivity-based Formation Control for UAVs with a Suspended Load
(Journal article, 2017)This paper presents a passivity based formation control strategy for multiple unmanned aerial vehicles (UAVs) cooperatively carrying a suspended load. The control strategy we propose consists of an internal feedback control ...