Searched for: mods_note_programme_s:"Systems%5C+and%5C+Control"
(1 - 20 of 113)

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Brummelhuis, Karst (author)
master thesis 2019
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Michalak, Chris (author)
Traditional electric power systems with large centralized base load power plants have a limited ability to react rapidly to the high supply variability associated with the increasing deployment of variable and intermittent renewable energy sources (RESs). Furthermore, with current power distribution networks primarily designed for unidirectional...
master thesis 2019
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Trombitás, Daniel (author)
Commercial heavy vehicles are especially prone to rolling over due to their inherent properties, such as the high centre of gravity - track width ratio and compliant chassis frame. Autonomous trucks cannot become widespread without eliminating this danger by guaranteeing rollover-free vehicle motion. Currently existing Roll Stability Control...
master thesis 2019
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Arnaoutis, Vasos (author)
Deep Learning performance dependents on the application and methodology. Neural Networks with convolutional layers have been a great success in multiple tasks trained under Supervised Learning algorithms. For higher dimensional problems, the selection of a deep network architecture can significantly improve the accuracy of the network, however...
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 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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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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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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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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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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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, Tom (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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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
Searched for: mods_note_programme_s:"Systems%5C+and%5C+Control"
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