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van der Tholen, Max (author)Floating offshore wind turbines offer opportunities to harvest wind energy at deep-water locations, where the construction of fixed-base turbines is infeasible. The dynamic power cables, which interconnect turbines and transport the generated electricity, are under large dynamic stresses due to the environmental loads and the motion of the...master thesis 2023
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Kooij, Egbert (author)The need for relating stakeholders with requirements and the need for systems modeling are the main drivers for this thesis. Relating stakeholders with requirements is beneficial in order to balance the interests of all stakeholders associated with complex design projects. The variability in types of stakeholders and information abundance in...master thesis 2022
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DU, YURUI (author)In recent years, imitation learning (IL) has been widely used in industry as the core of autonomous vehicle (AV) planning modules. However, previous work on IL planners shows sample inefficiency and low generalisation in safety-critical scenarios, on which they are rarely tested. As a result, IL planners can reach a performance plateau where...master thesis 2022
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Meng, Zixi (author)Leakage is the main source of water loss in water distribution networks (WDNs). Therefore, leak detection and localization technology is a major concern for water utilities to save water and meet the ever-growing water demand. This study presents two methodologies for leak localization in District Metered Areas (DMAs): (1) a model-based method...master thesis 2022
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Oren, Yaniv (author)Deep, model based reinforcement learning has shown state of the art, human-exceeding performance in many challenging domains. <br/>Low sample efficiency and limited exploration remain however as leading obstacles in the field. <br/>In this work, we incorporate epistemic uncertainty into planning for better exploration.<br/>We develop a low-cost...master thesis 2022
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de Francisco Carballo, Jorge (author)Standardization is becoming more commonplace in space missions, aiming to increase reliability and drive down costs. Due to the relative similarities in operating environment between Small Solar System Bodies (SSSBs), a highly-adaptable lander may be able to service a majority of SSSBs with minor adaptations. The model-based systems engineering ...master thesis 2022
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van Veen, Nils (author)In the field of cooperative AI, an environment is created called Overcooked AI based on the popular Overcooked game. Originally the environment is used to study deep reinforcement learning, on the other hand it also allows for cooperative planning methods of which the paper will focus on. These methods include coupled based planning with...bachelor thesis 2022
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Zijlstra, Kije (author)The goal of this research is to improve the fitness for use of the CMDB in the development phase of large infrastructure projects by identifying the information needs of the individuals. The construction industry is transiting from paper-based systems engineering to Model-Based Systems Engineering, especially in the development phase of large...master thesis 2022
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de Vries, Roelof Jan (author)In the DST project, a deployable space telescope is designed for the thermal infrared spectrum. For this project, a new Systems Engineering (SE) approach was needed, since the SE was outdated and the project worked in silos. Important goals for the SE approach were that it was easy to use and minimizes the workload by automating as much as...master thesis 2022
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Foffano, Daniele (author)Model-Based Reinforcement Learning (MBRL) algorithms solve sequential decision-making problems, usually formalised as Markov Decision Processes, using a model of the environment dynamics to compute the optimal policy. When dealing with complex environments, the environment dynamics are frequently approximated with function approximators (such as...master thesis 2022
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Garofano, V. (author), Hepworth, M. (author), Shahin, R. (author)The framework of an autonomous vessel is typically composed of three distinct and independent blocks known as the Guidance, Navigation and Control (GNC) system. Whilst independent in their focus, the subsystems are nonetheless reliant on one another for a vessel to competently operate. This paper investigates the potential of using a combination...journal article 2022
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van Biert, L. (author), Segovia Castillo, P. (author), Haseltalab, A. (author), Negenborn, R.R. (author)The maritime industry is actively exploring alternative fuels and drive train technology to reduce the emissions of hazardous air pollutants and greenhouse gases. High temperature solid oxide fuel cells (SOFCs) represent a promising technology to generate electric power on ships from a variety of renewable fuels with high efficiencies and no...journal article 2022
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Pan, K. (author), Palensky, P. (author), Mohajerin Esfahani, P. (author)The main objective of this article is to develop scalable dynamic anomaly detectors with high-fidelity simulators of power systems. On the one hand, models in high-fidelity simulators are typically 'intractable' if one opts to describe them in a mathematical formulation in order to apply existing model-based approaches from the anomaly...journal article 2022
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Keulen, D. (author), Geldhof, Geoffroy (author), Bussy, Olivier Le (author), Pabst, Martin (author), Ottens, M. (author)The safety requirements for vaccines are extremely high since they are administered to healthy people. For that reason, vaccine development is time-consuming and very expensive. Reducing time-to-market is key for pharmaceutical companies, saving lives and money. Therefore the need is raised for systematic, general and efficient process...journal article 2022
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Moerland, Thomas M. (author), Broekens, D.J. (author), Plaat, Aske (author), Jonker, C.M. (author)Sequential decision making, commonly formalized as optimization of a Markov Decision Process, is a key challenge in artificial intelligence. Two successful approaches to MDP optimization are reinforcement learning and planning, which both largely have their own research communities. However, if both research fields solve the same problem,...journal article 2022
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Moliner Brotons, A. (author)In high-precision complex mechatronic devices, specifications are mostly affected by the contribution of several disciplines. Thus, in order to facilitate the fulfilment of the specifications, it is crucial to have a well-defined requirement for each sub-system during the entire design process. Model based system engineering (MBSE) is a...master thesis 2021
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Oppelaar, Pieter (author)In this report, the conversion from spin-echo signals, obtained with a low-field hand-held MRI scanner that was designed and built at the Leiden University, to images of the proton density within the sample is considered. This scanner does not make use of switchable gradient coils, but instead relies solely on the natural inhomogeneity of the...bachelor thesis 2021
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Liesker, Bas (author)Magnetic resonance imaging (MRI) scanners are a crucial diagnostic tool for radiologists. They are able to render two and threedimensional images of the body without exposure to harmful radiation. MRI systems are, however, costly to build and maintain. This adversely impacts access to these scanners in developing regions. In an effort to...master thesis 2021
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Willemsen, Daniël (author)Multi-agent robotic systems could benefit from reinforcement learning algorithms that are able to learn behaviours in a small number trials, a property known as sample efficiency. This research investigates the use of learned world models to create more sample-efficient algorithms. We present a novel multi-agent model-based reinforcement...master thesis 2021
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Jafino, B.A. (author), Kwakkel, J.H. (author)To support equitable planning, model-based analyses can be used to explore inequality patterns arising from different scenarios. Scenario discovery is increasingly used to extract insights from ensembles of simulation. Here, we apply two scenario discovery approaches for unraveling inequality patterns and their drivers, with an application to...journal article 2021