Searched for: mods_note_programme_s%3A%22Mechanical%255C+Engineering%255C+%257C%255C+Systems%255C+and%255C+Control%22
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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
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Gislason, Johann (author)
Anisoplanatic corrections of wavefront aberrations in confocal microscopy is a difficult problem in Adaptive Optics (AO). Isoplanatic correction on the excitation- and fluorescence signals is commonly applied in traditional adaptive optics by using a Deformable Mirror (DM), but ideally, anisoplanatic corrections should be applied because...
master thesis 2019
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Bosma, Stijn (author)
A repetitive motion system supporting nano meter precision is positioned at high accelerations, which produces a force that disturbs the demanded accuracy requirements. Iterative learning control is used to learn optimal feedforward control signals for the attenuation this disturbance force. The iterative method comes with a limitation, as it...
master thesis 2019
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Deichler, Anna (author)
Recently, the AlphaGo algorithm has managed to defeat the top level human player in the game of Go. Achieving professional level performance in the game of Go has long been considered as an AI milestone. The challenging properties of high state-space complexity, long reward horizon and high action branching factor in the game of Go are also...
master thesis 2019
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Oude Grotebevelsborg, Rik (author)
Successful implementation of fully autonomous vehicles is a much desired objective. Within the area of unmanned marine craft or unmanned surface vehicles (USV), the implementation of truly autonomous navigation is still a challenge. During times in which humans are still actively involved in the processof maritime navigation, regulations are...
master thesis 2019
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Aarnts, Thomas (author)
The rise of vehicle usage causes roads to reach capacity limits. When capacity is reached, traffic jams and accidents are more likely to occur. By raising the efficiency of traffic, the capacity of roads can benefit without the need to expand infrastructure. Automating longitudinal controls of vehicles and creating vehicle platoons show...
master thesis 2019
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van der Geest, Lars (author)
This thesis report is focused on the design of a guidance and control system that is able to minimize the deviation from the desired impact point for a firing range of 1 kilometer, given a 30mm spinning gun-launched projectile with a novel actuator design. This actuator is fixed on the projectile and offers a single force that can only be...
master thesis 2019
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de Jong, Joost (author)
This thesis reports on the research and design of a real-time Time-Varying Model Predictive Control (TVMPC) scheme to stabilize a tilt-rotor aircraft with four independently tilting rotors. The aircraft design stems from a prototype system constructed by the drone technology start-up Avy.<br/>First, a motivation is presented for implementation...
master thesis 2019
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Overtoom, Jelle (author)
A relatively new and not rather common technique in construction industry is the use of 3D printers to print architectural structures and buildings. Nowadays, parts of the printed object are build in inside environments, where after the parts have to be transported to their desired location, which is very costly and time consuming. A solution...
master thesis 2019
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Clarenburg, Jimmy (author)
Designing a controlled offshore system is a challenging process, the system dynamics are often nonlinear and subjected to loads that are random in nature. Furthermore, the proper description of the system’s dynamical behaviour involves knowledge pertaining to several fields. Unfortunately, at the design level, the process is often segregated...
master thesis 2019
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Grimbergen, Sherin (author)
This thesis provides an exposition of the theory of Active Inference in a control theoretic context. Active Inference is a remarkably powerful neuroscientific theory that unifies many characteristics of the biological brain. As such, Active Inference provides a valid inspiration in search of improvements in bio-inspired robot control algorithms....
master thesis 2019
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GEZER, GÜROL (author)
As a nonlinear alternative to the linear interpretation of arterial blood pressure waveform, soliton theory has been proposed to model arterial blood pressure by interpreting the pulsatile nature of pressure pulses in the viewpoint of soliton transmission. The existing solitary wave literature supports this interpretation by deriving Korteweg-de...
master thesis 2019
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Fijen, Thomas (author)
With the growing population the agricultural industry needs to find and implement new methods for enhancing food production. Using a Micro Aerial Vehicle (MAV) in Precision Agriculture (PA) offers a large number of benefits such as enabling the farmer to create targeted strategies to increase crop yield, reduced waste and halt the spread of...
master thesis 2019
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van Beelen, Ruben (author)
One of the most promising ideas in autonomous vehicle control systems is letting the vehicle drive autonomously outside the normal, linear, operating region and letting it "drift". By doing so, the maneuverability of the vehicle could be enhanced. To enable systems that can control this behaviour, estimation of certain vehicle states is needed...
master thesis 2019
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Elderenbosch, Stijn (author)
The telecommunication sector is characterised by a huge energy consumption that is still increasing. Mobile network operators seek for new operating techniques to minimise their energy costs and their carbon footprint. One of these energy saving techniques is the use of energy efficient collaborations among the base stations (antennas) in their...
master thesis 2019
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Diaz Guasgua, Andrea (author)
Worldwide roughly 80% of heating and cooling systems in the building sector are currently dominated by fossil-fuel technologies. These systems, known as Heating, Ventilation and Air Conditioning (HVAC) systems have contributed to global climate change and global warming. These effects are the consequence of the increasing demand of HVAC systems...
master thesis 2019
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van Dam, Floris (author)
In recent years there has been an increasing interest in formation flying with many lightweight spacecraft, as satellite missions can potentially become cheaper and more flexible. An example of such mission is the Silicon Wafer Integrated Femtosatellites mission, consisting of 100 to 1000 spacecraft with a mass of 0.1 kg. Due to modest control...
master thesis 2019
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Husić, Ajdin (author)
The novelty-raahn algorithm has been shown to effectively learn a desired behavior from raw inputs by connecting an autoencoder with a Hebbian network. Hebbian learning is compelling for its biological plausibility and simplicity. It changes the weight of a connection based only on the activations of neurons it connects, and can effectively...
master thesis 2018
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