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Smit, Henk (author)
Event-Triggered Control (ETC) is a control method where the controller is only updated when necessary. The control inputs are kept fixed until a state-dependent event triggers their re-computation. The triggering condition is designed to guarantee the stability and desired performance of the control system. This prevents the excessive use of...
master thesis 2023
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Varga, Roland (author)
Many recent robot learning problems, real and simulated, were addressed using deep reinforcement learning. The developed policies can deal with high-dimensional, continuous state and action spaces, and can also incorporate machine-generated or human demonstration data. A great number of them depend on state-action value estimates, especially the...
master thesis 2023
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Fetter, Marnix (author)
Indoor positioning systems cannot rely on conventional localization methods, such as GPS, to locate devices because of interference with the structure of buildings. One solution is to use magnetic positioning, which is based on spatial variations in the patterns of the ambient magnetic field. To model magnetic fields, Gaussian process regression...
master thesis 2023
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Tsaniklidis, Georgios (author)
Nowadays, the high demand for road transportation often reaches a point where it exceeds the capacity of freeway traffic networks, resulting in congestion. Freeway traffic congestion is a major social problem, as it is the reason for increased time delays, higher accident risk and environmental pollution. There is, therefore, the need for a...
master thesis 2023
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van Engen, Femke (author)
Meditation is a contemplative practice that is believed to entail attentional and emotional regulation. One of the biggest challenges in developing personalized, accessible healthcare options with meditation is finding understandable features that signify whether someone is meditating. Specifically, there is no consensus on a feature resulting...
master thesis 2022
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Vitanov, George (author)
This thesis discusses the chemical composition (basicity) control problem of HIsarna, an experimental iron furnace which operates with 30% less CO2 emissions than its traditional blast furnace counterparts. The control challenge is keeping the basicity of the plant in a narrow operating region. A mass balance model of the plant was constructed -...
master thesis 2022
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Krabbenborg, Britt (author)
Banks such as Rabobank depend on multi-year mortgage prepayment forecasts in order to make provisions for the associated prepayment risks. The econometric models they use are fitted to historical data, and as a consequence their models are fitted to a decreasing interest rate regime. Given the current economic climate of increasing interest...
master thesis 2022
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Cador, Andrei (author)
Full vehicle automation requires complete control over all driving scenarios that can be encountered on roads in order to ensure passenger safety at all times. This extends to dangerous situations such as losing control on slippery surfaces, commonly known as drifting. This work aims to make a step toward ensuring passenger safety in these...
master thesis 2022
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Denarié, Pierre-Antoine (author)
Blind Source Separation (BSS), the separation of latent source components from observed mixtures, is relevant to many fields of expertise such as neuro-imaging, economics and machine learning. Reliable estimates of the sources can be obtained through diagonalization of the cumulant tensor, i.e., a fourth-order symmetric multi-linear array...
master thesis 2022
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Feng, Jingru (author)
With the demand for more information on the building’s indoor climate, a massive amount of multi-sensors are mounted in buildings. Sensor anomalies in smart buildings lead to higher energy consumption and a less comfortable indoor climate. In the state of practice, rule-based approaches were proposed to detect and diagnose sensor anomalies in...
master thesis 2022
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Veen, Thijs (author)
Indoor localisation is a growing field of interest in recent studies. While GPS (global positioning system) is a standard for outdoor localisation, no such solution exists for indoor applications. The literature provides several methods to obtain the location of indoor systems, often using optical sensors. A small number of recent studies use...
master thesis 2022
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Narasimhan, Adithya (author)
Electric vehicles are a fast-growing market in the automotive sector. In addition, the widespread use of renewable energy to power electric vehicles makes them sustainable, with considerably low greenhouse gas emissions. As a result, service providers are switching to fleets of electric vehicles to promote environmental sustainability. However,...
master thesis 2022
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Geboers, Sven (author)
Currently, inland waterway shipping mainly includes barges and bulk transportation with little to no variation in volume, product, and route. Since transport over water emits less CO2 per tonne-km than road transport, a potential way to reduce CO2 emissions is to transport more containers via inland waterways. Large delays cause unreliability,...
master thesis 2022
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Jonnalagadda, Aravind (author)
Natural Language Processing (NLP) deals with understanding and processing human text by any computer software. There are several network architectures in the fields of deep learning and artificial intelligence that are used for NLP. Deep learning techniques like recurrent neural networks and feed-forward neural networks are used to develop...
master thesis 2022
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Chandrashekar, Rohan (author)
Humans make decisions when presented with choices based on influences. The Internet today presents people with abundant choices to choose from. Recommending choices with an emphasis on people's preferences has become increasingly sought. Grundy (1979), the first computer librarian Recommender System (RS), provided users with book recommendations...
master thesis 2022
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Kroese, Justine (author)
Max-plus-linear (MPL) systems are systems that are linear in max-plus algebra. A generalization of these systems are Max-Min-Plus-Scaling (MMPS) systems. Next to maximization and addition (plus), MMPS systems use the operations minimization and scaling. They are discrete-event (DE) systems, which means that the changing of the states is...
master thesis 2022
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Redel, Floor (author)
Ill-posed Linear Inverse Problems arise in various research domains, such as control engineering and image processing. Having a fast algorithm is a great benefit when working with high-dimensional signals, such as images. However, fast convergence and iterations with low computational complexity are challenging.<br/>In this master thesis report,...
master thesis 2022
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Kerssemakers, Daan (author)
To accelerate the growth of offshore wind power, its Levelised Cost Of Energy (LCOE) must be reduced. A means of reducing the LCOE of offshore wind power is by mitigating the adverse wake effect by employing Wind Farm Control (WFC) for power maximization. A recent WFC technology is the helix approach, which uses Individual Pitch Control (IPC) to...
master thesis 2022
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van Mourik, Ewoud (author)
This thesis studies the Canonical Polyadic Decomposition (CPD) constrained kernel machine for large scale learning, i.e. learning with a large number of samples. The kernel machine optimization problem is solved in the primal space, such that the complexity of the problem scales linearly in the number of samples as opposed to scaling cubically...
master thesis 2022
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van Beek, Piet (author)
Optimizing delivery routes is a well-researched topic, however, most of the classical approaches do not incorporate preferences of drivers, as those approaches focus on minimizing the time or distance of the routes. As a result, the actual driven route of an experienced driver often deviates from the proposed route since the drivers have tacit...
master thesis 2022
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