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Topics in Machine Learning and Next Generation Robotics
(Doctoral theses at NTNU;2017:339, Doctoral thesis, 2017) -
Topics in Nonlinear and Model-based Control of Ships
(Doctoral theses at NTNU;2021:401, Doctoral thesis, 2021)This PhD thesis considers topics within automatic motion control of ships, which has been an active research topic since the early 20th century. Specifically, the thesis aims at designing controllers to achieve a good ... -
Topics in State and Parameter Estimation for Nonlinear and Uncertain Systems
(Doktoravhandlinger ved NTNU, 1503-8181; 2010:88, Doctoral thesis, 2010)This thesis is submitted in partial fulfillment of the requirements for the degree of Philosphiae Doctor (PhD) at the Norwegian University of Science and Technology (NTNU). The thesis is divided into three parts, each of ... -
Topics in Synchronization and Motion Control
(Doktoravhandlinger ved NTNU, 1503-8181; 2013:205, Doctoral thesis, 2013)This thesis considers three issues: the problem of output synchronization in homogenous and heterogeneous networks of linear agents, the problem of path following for 3-DOF marine vehicles, and the problem of motion control ... -
Topics in the optimal operation of process plants
(Doctoral theses at NTNU;2019:332, Doctoral thesis, 2019)An increasingly competitive global market, together with stricter environmental and safety regulations make it necessary for chemical process plants to operate close to its optimum. As a result, there has been a growing ... -
Topics on Marine Collision Avoidance
(Doctoral theses at NTNU;2022:311, Doctoral thesis, 2022)The increasing number of both industrial and academic initiatives towards maritime autonomy is a clear indication that this is an active and rapidly expanding field. This thesis presents developments contributing to the ... -
Topography and force imaging in atomic force microscopy by state and parameter estimation
(Journal article; Peer reviewed, 2015)A novel imaging method for atomic force microscopy based on estimation of state and parameters is presented. The cantilever dynamics is modeled as a linear system augmented by the tip-sample interaction force. The states ... -
Topology and spatial-pressure-distribution reconstruction of an englacial channel
(Peer reviewed; Journal article, 2022)Information about glacier hydrology is important for understanding glacier and ice sheet dynamics. However, our knowledge about water pathways and pressure remains limited, as in situ observations are sparse and methods ... -
Topology-preserving automated cartographic generalisation: Polygon simplification, error correction and measuring performance
(Master thesis, 2009)Location-based services and mobile applications that use cartographic data are becoming increasingly popular. When serving mobile clients with map data across a network it is important to minimise the data to be transferred. ... -
Torque-Minimizing Control Allocation for Overactuated Quadrupedal Locomotion
(Chapter, 2023)In this paper, we improve upon a method for optimal control of quadrupedal robots which utilizes a full-order model of the system. The original method utilizes offline nonlinear optimal control to synthesize a control ... -
Toward a Digital Twin for Arthroscopic Knee Surgery: A Systematic Review
(Peer reviewed; Journal article, 2022)The use of digital twins to represent a product or process digitally is trending in many engineering disciplines. This term has also been recently introduced in the medical field. In arthroscopic surgery education, the ... -
Toward adaptive robotic sampling of phytoplankton in the coastal ocean
(Journal article; Peer reviewed, 2019)Currents, wind, bathymetry, and freshwater runoff are some of the factors that make coastal waters heterogeneous, patchy, and scientifically interesting—where it is challenging to resolve the spatiotemporal variation within ... -
Toward Dependable Embedded Model Predictive Control
(Journal article; Peer reviewed, 2014)While model predictive control (MPC) is the industrially preferred method for advanced control in the process industries, it has not found much use in consumer products and safety-critical embedded systems applications in ... -
Toward Nonlinear Flight Control for Fixed-Wing UAVs: System Architecture, Field Experiments, and Lessons Learned
(Peer reviewed; Journal article, 2022)Inner-loop control algorithms in state-of-the-art autopilots for fixed-wing unmanned aerial vehicles (UAVs) are typically designed using linear control theory, to operate in relatively conservative flight envelopes. In the ... -
Towards a balanced-labeled-dataset of planktons for a better in-situ taxa identification
(Master thesis, 2020)A studere mangfold og spredning av planktonorganismer in-situ er en pådriver for nyere forskningsaktiviteter og oseanografi på grunn av planktons økologiske betydning. Med introduksjonen av marine roboter utstyrt med ... -
Towards a communication system for patients with locked-in syndrome based on EEG and visual perception
(Master thesis, 2022)Denne oppgaven undersøker muligheten for et enkelt kommunikasjonssystem for personer med Locked-in syndrom (LIS) ved hjelp av en kombinasjon av personens øyebevegelse og hjernens fargeoppfatning. En person diagnostisert ... -
Towards a Degradation-Conscious Control Strategy For Polymer Electrolyte Membrane Fuel Cells in Automotive Applications
(Master thesis, 2020)In order to reduce greenhouse gas emissions in the transportation sector traditional combustion vehicles have to be replaced with low-emission alternatives, such as electric vehicles (EV)s and fuel cell (FC) vehicles. As ... -
Towards a holistic digital twin solution for real-time monitoring of aquaculture net cage systems
(Peer reviewed; Journal article, 2023)Digital twins and relevant concepts are being applied in a wide variety of ways, and they are of most use when an actual real-world physical system or process (a physical twin) is changing over time and when measurement ... -
Towards a minimal EEG channel array for a biometric system using resting-state and a genetic algorithm for channel selection
(Peer reviewed; Journal article, 2020)We present a new approach for a biometric system based on electroencephalographic (EEG) signals of resting-state, that can identify a subject and reject intruders with a minimal subset of EEG channels. To select features, ... -
Towards a real-time measurement platform for microgrids in isolated communities
(Journal article; Peer reviewed, 2016)This paper describes a platform for obtaining and analyzing real-time measurements in Microgrids. A key building block in this platform is the Empirical Mode Decomposition (EMD) used to analyze the electrical voltage and ...