Searched for: subject%3A%22control%22
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Chung, Chris (author)
Loss-of-Control (LoC) is the primary cause of drone crashes, necessitating efficient onboard prevention systems that are effective in terms of sensor requirements, computing power, and memory. This study introduces a data-driven approach for detecting LoC in quadrotors, using Critical Slowing Down (CSD) theory as an Early Warning Signal (EWS) of...
master thesis 2024
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Stam, Noah (author)
Neglecting actuator dynamics in nonlinear control and control allocation can lead to performance degradation, especially when considering fast dynamic systems. This thesis provides a novel method to account for actuator dynamics in the control allocation solution, dynamic incremental nonlinear control allocation, or D-INCA. The incremental...
master thesis 2024
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Vos, Louwerens (author)
<div>With fuel cells making their way into the maritime sector, cooling systems are becoming a more important aspect of ship design with regard to power saving. Because fuel cells generate heat at a lower temperature, they require a cooling system that is comparatively larger than that of conventional power trains. Ship cooling system research...
master thesis 2024
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Neele, Maurits (author)
High-precision mechatronic equipment often benefits from or even needs vibration isolation to function within specification. Examples of such equipment include metrology devices, space instrumentation and lithography assemblies. Vibration isolation is often the function of the mounting between the equipment and the floor or rest of the machine....
master thesis 2024
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Yin, Lanke (author)
This work introduces a novel training strategy for Gaussian Process (GP) models aimed at improving their predictive accuracy and uncertainty quantification capabilities over extended prediction horizons. This improvement is highly relevant for applications in model predictive control (MPC) in the autonomous driving domain. Learning-based MPC...
master thesis 2024
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van Dillen, Bob (author)
The introduction of Trajectory Based Operations (TBO) is set to change the operation on all levels of Air Traffic Control (ATC), including aerodrome control. Here, adherence to a planned four-dimensional trajectory is important to achieve a stable operation. At the same time, this concept provides possibilities for support tools to be used in...
master thesis 2024
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Dawe, Alon (author)
master thesis 2024
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Dundulis, Tomas (author)
The concept of Distributed Electric Propulsion (DEP) aircraft holds great promise in achieving the goals outlined in Flightpath 2050. This involves utilizing electricity to power propellers and enhancing overall flight performance through interactions between the wings and propellers. This thesis investigates the stability and control aspects of...
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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Broertjes, Thomas (author)
In response to the urgent need for renewable energy amidst the escalating impacts of global warming, this study delves into the forefront of wind energy research, particularly focusing on the innovative Multi-Rotor System (MRS). The MRS concept offers a promising departure from the prevailing trend of scaling up traditional turbines, instead...
master thesis 2024
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Jansen, Hidde (author)
Reinforcement Learning applied to flight control has shown to have several benefits over classical, linear flight controllers, as it eliminates the need for gain scheduling and it could provide fault-tolerance. The application to civil aviation in practice, however, is non-existent as there are multiple safety concerns. This research...
master thesis 2024
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Brouwer, Annemieke (author)
Responding rapidly to epidemic outbreaks presents significant challenges, due to resource, capacity and time limitations. Anticipatory Action (AA) is a newly emerging strategy in the field of humanitarian aid, designed to preemptively address potential crises. By taking impact-reducing actions before a disaster strikes, AA seeks to minimize...
master thesis 2024
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ten Voorde, Maarten (author)
The use of machine learning (ML), especially neural networks, in modeling control systems has shown promise, particularly for systems with complex physics. However, applying these models in safety-critical areas requires reliable verification and control synthesis methods due to their inherent complexity. Formal methods, using stochastic finite...
master thesis 2024
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Lagerwij, Sam (author)
In response to the growing demand for air travel, major airports are approaching critical thresholds in their infrastructure capacity. As the transportation sector continues to expand, it is increasingly important to address environmental concerns that arise from aspects, such as noise annoyance and fuel consumption. This paper aims to enhance...
master thesis 2024
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de Wolde, Jelmer (author)
Mobile manipulators, which combine a mobile platform with a robotic arm, are versatile robots that can be used for a variety of tasks like logistic pick-and-placing, manufacturing or assembly. Compliant control for mobile manipulators could improve the safety of the users sharing their workspace with these robots. The two general methods of...
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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Bink, Kiki (author)
Facing the critical challenge of reducing greenhouse gas (GHG) emissions in the maritime industry, this thesis explores the potential of smart control systems using Reinforcement Learning (RL) for autonomous sailing. Traditional controls for sailing fall short in navigating the complex, dynamic conditions of maritime environments. RL has shown...
master thesis 2024
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Burgers, Piene (author)
Given the building sector's significant impact on energy consumption and CO2 emissions, there is a clear need for a sustainable solution. Here, smart building technologies are emerging as a promising response, as they offer the potential to improve operational efficiency while reducing environmental impact. However, the development of smart...
master thesis 2024
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Hazelaar, Sander (author)
New insights into the landing behavior of bumblebees show an adaptive strategy where the optical flow expansion of the landing target is step-wise regulated. In this article, the potential benefits of this approach are studied by replicating the landing experiment with a quadrotor. To this end, an open-loop switching method is developed,...
master thesis 2024
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Panichi, Edoardo (author)
In this thesis, we introduce a novel approach aimed at enhancing the jumping and landing capabilities of quadruped robots. Our method integrates both model-based and model-free strategies and features a behavioral cloning framework designed to reduce computational delays often encountered in trajectory optimization.<br/><br/>Initially, we build...
master thesis 2024
Searched for: subject%3A%22control%22
(1 - 20 of 1,347)

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