Searched for: mods_note_programme_s%3A%22Mechanical%255C%2BEngineering%255C%2B%257C%255C%2BSystems%255C%2Band%255C%2BControl%22
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Mur Uribe, Pol (author)
This thesis introduces a new method, called Mixed Iteration, for controlling Markov Decision Processes when partial information is known about the dynamics of the Markov Decision Process. The algorithm uses sampling to calculate the expectation of partially known dynamics in stochastic environments. Its goal is to lower the number of iterations...
master thesis 2023
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Ottenheym, Joris (author)
The placement of wind turbines in wind farms is economically beneficial to the industry. Consequently, the wake generated by the upstream turbines introduces interactions with downstream turbines that significantly affect power generation. However, it is common practice to control the individual turbines to operate at their optimal settings and...
master thesis 2023
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Probst, Johanna (author)
Creating autonomous Micro Aerial Vehicles for executing complex missions poses various challenges, including safe navigation in the presence of external wind disturbances. Most current navigation methods handle external wind disturbances through real-time estimation and rejection algorithms in the control stage, but lack safety guarantees in...
master thesis 2023
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Hassan, Pepijn (author)
This research explores the feasibility of building a large-scale setpoint tracking controller for the co-regulation of Electric Vehicle (EV) charging stations, aiming to coordinate charging with energy market dynamics and minimize the error between a power setpoint and the aggregated consumption of charging stations while capitalizing on...
master thesis 2023
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Vonk, Martijn (author)
Autonomous vehicles (AVs) can solve a lot of problems related to traffic safety, comfort and congestion. While the sensors used by these vehicles are getting cheaper, more accurate, and software is improving, the first completely automated vehicle does not exist yet. When AVs start gradually driving on the roads, there will be a mixed traffic...
master thesis 2023
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Das, Viswanath (author)
Navigation systems in an Autonomous Vehicles (AV) can be divided into two parts: a path planning block which takes in the environmental data and rules to design a collision-free obstacle and a vehicle control and tracking block which generates actuator inputs for the AV to follow the reference path generated by the path planning block. Each task...
master thesis 2023
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Gallagher, Frank (author)
In this thesis a novel method for the realisation of Max-Min-Plus-Scaling (MMPS) functions is presented. It has previously been shown that continuous piecewise affine (PWA) functions, conjunctive MMPS functions (also lattices- or min-max functions) and kripfganz MMPS functions (difference between two convex functions) can each describe the same...
master thesis 2023
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Rol, Remy (author)
master thesis 2023
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Bruggink, Daan (author)
Traversability estimation is a key component in autonomous driving tasks. In many applications, semantic segmentation is used to pixel-wise classify a visual scene. The pixel-wise segmented map is used to estimate the traversability of different environments. The semantic segmentation accuracy can drop if environmental conditions change. The...
master thesis 2023
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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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