Searched for: mods_note_programme_s%3A%22Mechanical%255C%2BEngineering%255C%2B%257C%255C%2BSystems%255C%2Band%255C%2BControl%22
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van Aggelen, Michele (author)
Maintenance is a necessary measure to keep the asset, in this case a road network, in good condition. Spending too much on maintenance is clearly not efficient, while not spending enough may cause the condition to drop below a desired value; moreover, it will almost always cost more to correct the emerging damages afterwards. <br/>In this report...
master thesis 2022
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Remmerswaal, Willemijn (author)
Both model predictive control (MPC) and reinforcement learning (RL) have shown promising results in the control of traffic signals in urban traffic networks. There are, however, a few drawbacks. MPC controllers are not adaptive and therefore perform suboptimal in the presence of the uncertainties that always occur in urban traffic systems....
master thesis 2022
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Treurniet, Wiljo (author)
To achieve the goals on greenhouse gas emissions, the energy supply and demand is in transition. Distribution power grids therefore are increasingly reaching their capacity limits due to electrification and the vast increase of distributed energy resource (DER) connection requests with large peak power output. Increasing physical grid capacity...
master thesis 2022
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den Boer, Dirk (author)
Accurate vehicle localization is considered to be a key element in future automated driving systems. A network of multiple sensors is employed to deliver information for this localization process. Loosely coupled integration of global navigation satellite systems (GNSS) and inertial navigation systems (INS) data is a common sensor-fusion method...
master thesis 2022
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Leeuwenberg, Marijn (author)
Inefficient road usage in a traffic network context – i.e. over-saturation on one route, where other roads are still available – is an important problem. It appears often and in different types of situations. We concentrate on congestion caused by predicted temporary road blockades, such as open bridges. This research aims to reduce such...
master thesis 2022
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Beek, Django (author)
As society's mutual problems grow, there is an increasing demand for understanding the intra- and inter-cultural differences. Rising polarization within national borders and stranded dialogues between nations on mutual problems, daily reach the headlines. It is argued that current models of opinion only scratch the surface of actual human...
master thesis 2021
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Dimanidis, Ioannis (author)
We propose a novel method combining elements of supervised- and Q-learning for the control of dynamical systems subject to unknown disturbances. By using the Inverse Optimization framework and in-hindsight information we can derive a causal parametric optimization policy that approximates a non-causal MPC expert. Furthermore, we propose a new...
master thesis 2021
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Rodopoulos, Charalampos (author)
In decision making problems, the ability to compute the optimal solution can pose a serious challenge. Dynamic Programming (DP) aims to provide a framework to deal with a category of such problems, namely ones that involve sequential decision making. By dividing the original control problem into sub-problems and solving it backwards in time,...
master thesis 2021
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Zhang, Shubo (author)
The scheduling algorithm of the printer is an important factor that affects printing efficiency. For current printers, paper scheduling often follows the first-in-first-out principle, so it is often not optimal. The printer system is a type of semi-cyclic discrete-event system with synchronization but no concurrency. The system contains a set of...
master thesis 2021
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van Liere, Art (author)
Pose Graph Optimisation is a technique that is used to solve the Simultaneous Localisation and Mapping problem by relying on least-square minimisation techniques to find the most likely set of robot poses (i.e., location and orientation) given the set of measurements. It formalises the maximum likelihood formulation using a pose graph, where...
master thesis 2021
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Sathyanarayanan, Mahalakshmi (author)
General anesthesia (GA) is an important medical procedure that induces unconsciousness to patients during surgery. Consciousness is a salient feature of the brain, whose neurophysiological features are difficult to be distinguished from unconsciousness. Though it can be defined as an event arising due to interactions in the nervous system, it...
master thesis 2021
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Krab, Sjoerd (author)
Parasitic diseases such as malaria remain a mayor burden on global health. One of the biggest challenges still to be overcome is that of inadequate diagnoses. This research explores the opportunities that Hyperspectral Imaging yields in this field. The first goal is to estimate the spectral signature of Malaria parasites in non-stained or Giemsa...
master thesis 2021
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NAIK, TANAY (author)
Uncertainty can be defined as imperfect or unknown information arising in a stochastic environment. Due to the very limited knowledge, it is difficult to propagate and quantify various uncertainties affecting the system to its next step. As a result, it has been a challenge to consider multiple uncertainties affecting the system in various...
master thesis 2021
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Ratering, Daan (author)
Noise pollution is a major health threat to society. Active noise control systems that attenuate noise through open windows have the potential to create quieter homes while maintaining ventilation and sight. Such systems are commonly realized with closed-loop LMS algorithms. However, these algorithms require a large number of error microphones...
master thesis 2021
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de Heer, Pepijn (author)
To meet the demanding requirements on the environmental impact of aircraft, radically new aircraft concepts need to be developed. Within the NOVAIR project, Royal Netherlands Aerospace Centre (NLR) tests these new concepts on a Scaled flight demonstrator (SFD). Using an SFD allows for testing of dynamic and flight physical behavior of new...
master thesis 2021
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Dankovic, Milan (author)
Inverse Learning is implemented in order to learn a control/decision policy (in the integer space) from an Expert Agent. The Learner Agent assumes that the Expert is acting minimizing an unknown cost function and tries to approximate it, through its own parametrized version of it. Learning can be performed in two different ways: offline ...
master thesis 2021
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de Vries, Lianne (author)
Optical fibers form the backbone of our global data transmission infrastructure. As demands on global data transmission grow the capacity of these systems needs to be increased. The behaviour of light waves through these optical fibers is described by the Manakov Equation (ME), a system of nonlinear partial differential equations.<br/><br/>The...
master thesis 2021
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Vijn, Timo (author)
This research provides benchmark accuracies for forecasting of an aggregated price of the Dutch intraday market. While point forecasts in a single-step-ahead horizon for that unresearched market provide novel insights already, the scope of this research also includes interval forecasts in a multi-step-ahead horizon. A forecasting procedure is...
master thesis 2021
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Sweering, Tim (author)
In this thesis we investigate the possibilities for applying Koopman methods for reachability analysis. Reachability analysis is a verification process used to determine that a dynamical system starting in an initial set X0 cannot reach a certain set of dangerous states D within a time interval [0,T]. Koopman methods seem promising, because they...
master thesis 2021
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Houwink, Quint (author)
Optical microscopes are fundamentally limited to a resolution of several hundreds of nanometers by the diffraction of light. Single-molecule localization microscopy (SMLM) circumvents this limit by sparsely exciting fluorescent molecules at different time instances. Single molecules can subsequently be localized with improved precision over the...
master thesis 2021
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