Searched for: mods_note_programme_s%3A%22Mechanical%255C%2BEngineering%255C%2B%257C%255C%2BSystems%255C%2Band%255C%2BControl%22
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Bakker, Lou (author)Recent advances in Deep Reinforcement Learning have sparked new interest in many different research topics, including Automated Highway Driving where agents model autonomous vehicles. The main advantage of Deep Reinforcement Learning is that the training algorithm is adaptable to its environment. In highway driving, researchers often simplify...master thesis 2019
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Wubben, Pim (author)Globally, a growing number of kidnappings executed by pirates occur each year. The current protection consists of mercenaries which are flown in by helicopter to protect merchant ships in threat areas. This is not only expensive, sometimes innocent fishermen are seen for pirates, in some cases with a lethal ending for the fishermen. An...master thesis 2019
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Vos, Marleen (author)Monetary policy is the process by which the central bank attempts to maintain price stability. Typically, this is done by manipulating the interest rate. This process is executed by the central bank of a country or union. Specifically, the policy makers of a central bank make policy decisions manually, based on advise and experience. The process...master thesis 2019
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Windeij, Rens (author)Climate change is an inevitable fact and governments worldwide have started to recognize this by expanding the contribution of renewable energy sources to our global energy production. Wind energy is currently one of the most attractive solutions for the transition to a more sustainable energy future. Since wind energy is not the only competitor...master thesis 2019
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Li, Xiajing (author)Multi-Agent Systems, often referred to a network of loosely connected autonomous units, are widely used to model the dynamics of crowds, vehicles, robots and swarms in traffic management, biological environment, distributed control and communication technologies. Recently, the study of multi-agent systems is rapidly growing due to the beneficial...master thesis 2019
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van Didden, Sebastiaan (author)Offshore wind energy is a promising prospect to meet the ever-growing demand for energy. Its reputation is, however, sullied by high costs not yet competitive with conventional energy resources. The Delft Offshore Turbine (DOT) attempts to radically reduce the Levelized Cost of Energy (LCOE) of offshore wind by utilising a seawater-hydrostatic...master thesis 2019
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Oskam, Rick (author)A wet clutch is a device that transfers torque between two shafts via a hydraulic mechanism. Wet clutch control is key to achieve smooth and fast clutch engagements. Optimal control of a wet clutch is not trivial because of the complexity of the system due to nonlinearities, hybrid dynamics and changing dynamics over time due to changing...master thesis 2019
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Verlaan, Bram (author)Development of the autonomous vehicle has been a trending topic over the last few years. The automotive industry is continuously developing Advanced Driver-Assistance Systems (ADAS) that partially take over the driver’s workload. This has resulted in an increase in vehicle safety and a decrease in fatal crashes [1]. Full vehicle autonomy has not...master thesis 2019
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Hutters, Coenraad (author)The Utility Lagrangian and the Surplus Hamiltonian in economic engineering do not depend on consumption.<br/>Two theories are proposed to include the effect of consumption in the Utility Lagrangian and the Surplus Hamiltonian. The second of these two theories resolves the dissipation obstacle in port-Hamiltonian systems as an additional result....master thesis 2019
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van Winden, Thijs (author)Imaging Mass Spectrometry (IMS) is a spectral imaging technique, which enables detection of the spatial distribution of molecules by collecting a mass spectrum for every pixel across a tissue sample. As such, IMS enables the detection of disease-introduced anomalies in tissue samples as well as the gaining of deeper insight on a molecular level...master thesis 2019
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Greevink, Thijs (author)This thesis tests the hypothesis that distributional deep reinforcement learning (RL) algorithms get an increased performance over expectation based deep RL because of the regularizing effect of fitting a more complex model. This hypothesis was tested by comparing two variations of the distributional QR-DQN algorithm combined with prioritized...master thesis 2019
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Melching, Willem (author)Super Resolution Microscopy is a technique to image objects with resolution higher than the diffraction limit, the fundamental limit to the resolution of a microscope. One of the techniques used for Super Resolution Microscopy is Single Molecule Localization Microscopy (SMLM). For this method, a sample is labeled using fluorophores (fluorescent...master thesis 2019
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Boehmer, Daniel (author)Wind energy plays a major role in the ongoing energy transition. To accelerate the adoption of wind energy and thereby the energy transition, the Levelized Cost of Energy (LCOE) has to be minimized. Apart from increasing turbine performance, reducing turbine down-time can contribute to lowering the LCOE.Down-time is defined as time during which...master thesis 2019
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van Lochem, Jelmer (author)In thedynamic world we live in, the transportation of people and goods in a reliable,efficient and timely manner has grown to be more important than ever. Roads andcities are becoming more congested and the impact of greenhouse gasses canalready be observed. The need for controlling transportation systems, andspecifically fleets of vehicles,...master thesis 2019
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Demetriou, Kyriakos (author)The area surveillance problem is the problem of surveying a known or an unknown area with the main purpose of detecting objects. This thesis will tackle the problem of how to employ a group of mobile-sensors for surveying an unobstructed area in an optimal manner. The mobile-sensors should make use of their onboard computers and they should...master thesis 2019
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Faassen, Gilles (author)In the automotive industry automation is popular and every year car OEMs advance their technology to be able to drive autonomously. Longitudinal control of the vehicles is an important part of the complete autonomous driving system. The difficulty of this control problem lies with changing longitudinal dynamics and the lack of full-state system...master thesis 2019
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Scholten, Jan (author)Deep Reinforcement Learning enables us to control increasingly complex and high-dimensional problems. Modelling and control design is longer required, which paves the way to numerous in- novations, such as optimal control of evermore sophisticated robotic systems, fast and efficient scheduling and logistics, effective personal drug dosing...master thesis 2019
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Hoogerbrugge, Ary-Jan (author)In modern ASML machines optical components play an important role in the lithography process. EUV light is transported from the source to wafer by reflective optics. These mirrors are subjected to large thermal loading, as a large portion of the reflected light is absorbed in the mirror structure. The portion of the absorbed light is strongly...master thesis 2019
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Sankararaman, Shyam Prasadh (author)Hyperspectral imaging (HSI) is a promising imaging modality in medical applications, especially for non-invasive and non-contact disease diagnosis and image-guided surgery. Encoding both spatial and spectral information, it can detect subtle changes in the biochemical and morphological properties of a tissue, revealing the early progression of a...master thesis 2019
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Wout, Daan (author)A prevalent approach for learning a control policy in the model-free domain is by engaging Reinforcement Learning (RL). A well known disadvantage of RL is the necessity for extensive amounts of data for a suitable control policy. For systems that concern physical application, acquiring this vast amount of data might take an extraordinary amount...master thesis 2019
Searched for: mods_note_programme_s%3A%22Mechanical%255C%2BEngineering%255C%2B%257C%255C%2BSystems%255C%2Band%255C%2BControl%22
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