Searched for: mods_note_programme_s%3A%22Mechanical%255C+Engineering%255C+%257C%255C+Systems%255C+and%255C+Control%22
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Kusters, Thom (author)
This thesis explores the potential of gyrostabilizers in mitigating payload motion during the installation of offshore wind turbine towers from floating platforms. It introduces Sway Damping Gyroscopes (SDG) as an actuator, utilizing gyroscopic precession for stabilization, positioned below the crane hook. The study develops a two-dimensional...
master thesis 2024
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van Veldhoven, Sjors (author)
The offshore wind energy sector has experienced remarkable growth in recent years, driven by increasing demand for renewable energy sources and technological advancements. As wind farms expand and turbine sizes increase, challenges associated with wake effects and turbine interactions become more pronounced. Therefore, wind farm control...
master thesis 2024
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Long, Youyuan (author)
In Inverse Optimization (IO), it is hypothesized that experts, when making decisions, implicitly engage in solving an optimization problem. If we can reconstruct this optimization problem using the decision data of the expert, then the behavior of the expert can be emulated. In this thesis, a novel inverse optimization model, Kernel Inverse...
master thesis 2024
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Scheepstra, Karel (author)
Multi-agent path finding (MAPF) is the task of finding non-conflicting paths for multiple agents that operate in a environment with shared resources. <br/>Finding an optimal solution quickly becomes intractable for many applications and consequently suboptimal methods are also explored extensively in literature. <br/>This work presents the...
master thesis 2024
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Verkuijlen, Jelske (author)
This study addresses a critical aspect of automated driving: enhancing safety during highway emergency scenarios. This is achieved by formulating the problem within the framework of Stochastic Model Predictive Control (SMPC). In SMPC, safety constraints are designed such that a small chance of constraint violation is accepted, contrary to...
master thesis 2024
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van Dijk, Mees (author)
Algorithms which can effectively detect epileptic seizures have the potential to improve current treatment methods for people who suffer from epilepsy. The current state-of-the-art methods use neural networks, which are able to learn directly from the electroencephalogram (EEG) data without feature extraction. However, neural networks have...
master thesis 2024
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Baltus, Jelle (author)
This thesis report aims to answer the following research question: “Is it possible to estimate relative velocities of vehicles surrounding the ego vehicle using a monocular camera with such an accuracy that meaningful conclusions can be made about the current traffic state?” To answer this question, a velocity estimation algorithm is developed...
master thesis 2024
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Chai, Anbang (author)
The Optimal Power Flow (OPF) problem, a cornerstone of power system operations, has gained increased attention since its inception by Carpentier in 1962. OPF is fundamentally an optimization challenge aimed at enhancing electric power system operations within the bounds of physical and operational constraints. Over the decades, various...
master thesis 2024
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Ministeru, Alexandra (author)
Floating Offshore Wind Turbines (FOWTs) pave the way to accessing deep water regions with abundant wind resources that are unreachable to bottom-fixed turbines. This technology is not widely deployed due to the increased cost of producing energy. A suitable control strategy can improve the power quality and extend the lifespan of the FOWT,...
master thesis 2024
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Rijpkema, Gerben (author)
Forensic microtrace investigation relies on a time- and labour-intensive process of manually analysing samples via microscopy. To aid forensic experts in their investigations, an image recognition model for microtrace localisation and classification is needed. This work investigates the trace recognition accuracy that can be achieved by...
master thesis 2024
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Umans, Sachin (author)
Falling remains a large source of (traumatic) injuries and healthcare costs. Over the past years, different actuators have been developed in the field of wearable robotics to help prevent injuries from falling. To increase the wearability of these systems, the weight of power storage can be decreased with intermittent instead of continuous...
master thesis 2024
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Wolleswinkel, Bart (author)
This thesis addresses the detection and prevention of adversarial attacks on self-triggered control (STC) systems and demonstrates how manipulating the sampling times can be used to provide a secure control framework. Secure control is vital to guarantee both the safety and security of critical infrastructure, which has been the target of...
master thesis 2024
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van Rijen, Gijs (author)
In this thesis, we demonstrate the efficiency of Laplace domain techniques for the design and analysis of economic systems. To make the techniques applicable to economic modeling, we establish the economic analogs to the various tools and nomenclature in the engineering literature. We show that the Laplace domain provides an alternative...
master thesis 2024
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Bevelander, Aron (author)
Compressed sensing is a framework in signal processing that enables the efficient acquisition and reconstruction of sparse signals. A widely-used class of algorithms that are used for this reconstruction, called greedy-algorithms, depend on non-convex optimization. With increasing signal size, these problems become computationally very hard....
master thesis 2024
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Tang, Weihong (author)
In light of the pressing challenges posed by global climate change and the imperative to reduce CO2 emissions, innovative approaches in energy management are critically important. This thesis presents an exploration of heat pumps integrated with Thermal Storage System (TES) systems, an area of research and application pivotal for enhancing...
master thesis 2024
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Trip, Kenrick (author)
With the introduction of autonomous vehicles on public roads, their performance in emergency situations has become a strong focus. Collision Imminent Control (CIC) concerns the planning and control of aggressive evasive maneuvers for collision avoidance of automated vehicles. CIC is implemented using adaptive Nonlinear Model Predictive Control ...
master thesis 2024
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Kuppers, Jean (author)
The clustering of wind turbines in a wind farm results in overall efficiency losses as downstream wind turbines operate in the wake of their upstream neighbours. Wind farm flow control (WFFC) strategies have emerged to reduce these wake effects with the goal of maximising overall performance. Dynamic induction control (DIC) aims to enhance the...
master thesis 2024
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Gökalan, Emre (author)
Greenhouses offer the promise to mitigate the challenges faced by traditional open field agri- culture. Operating these systems on a commercial scale demands effective control and forecast models. This thesis contributes to the increasing field of research that applies methods from systems and control to greenhouse systems. The primary objective...
master thesis 2024
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Kockelkoren, Michiel (author)
In recent years, the deployment of ground-based mobile robots has gained more and more interest in various domains. In contrast to other types of mobile robots, legged robots can traverse irregular terrains, climb stairs, and step over obstacles. However, these unique properties intensify the energy demand and require highly advanced perception...
master thesis 2024
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Keim, Julienne (author)
Wind turbines are often placed together in wind farms for economic considerations. This causes wake interactions between turbines, resulting in significant power losses. Models that predict these wake losses are critical for estimating wind farm power output and developing strategies to mitigate the wake effect, such as wind farm control. For...
master thesis 2024
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