Searched for: subject%3A%22Robust%22
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van Herwijnen, Maurits (author)
Making decisions when future conditions are uncertain is a challenging endeavor. This thesis develops a framework to analyse flood risk and create Dynamic Adaptive Policy Pathways, which can provide insights in the behaviour of flood risk protection measures in many future scenarios. The pathways are used to identify robust measures, dead ends...
master thesis 2024
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Zutt, Kyle (author)
To address the increasing housing demand in Europe and simultaneously tackle the challenge of creating a more sustainable construction industry, timber modular buildings present an innovative solution. However, before multi-storey modular buildings become a widespread practice, various engineering challenges need to be addressed. Ensuring...
master thesis 2024
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Kaushal, Janki (author)
This research evaluates various linear quadratic control techniques, with a particular focus on loop transfer recovery methods, to enhance the safety and robustness of flight control systems. It aims to address the limitations of classical control strategies in managing complex, multivariable systems by implementing advanced recovery mechanisms....
master thesis 2024
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Loukisas, Chari (author)
This study demonstrates an effective systematic control design procedure by applying H∞ Loop-Shaping with a structured controller on an agile aerospace vehicle with a focus on automation. The gain-scheduled implementation is additionally described and tested with non-linear simulations, including a realistic moving point-hit scenario with...
master thesis 2024
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Pescio, Luigi (author)
This study presents a new approach for integrated tail assignment and maintenance task scheduling decision support. Wasted maintenance resources, restricted fleet availability for schedule flexibility, inconsistent planning, and no emphasis on schedule resilience are all inefficiencies that now arise from airlines' separate and manual tail...
master thesis 2024
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Zwaginga, J.J. (author), Lagemann, Benjamin (author), Erikstad, Stein Ove (author), Pruyn, J.F.J. (author)
Shipowners need to prepare for low-emission fuel alternatives to meet the IMO 2050 goals. This is a complex problem due to conflicting objectives and a high degree of uncertainty. To help navigate this problem, this paper investigates how methods that take uncertainty into account, like robust optimization and stochastic optimization, could be...
journal article 2024
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Klijn, F. (author)
The policy programme Integrated River Management (IRM) aims to anticipate climate change and to redress the negative consequences of earlier river engineering interventions. Its objective is to first and foremost ensure a well-functioning river system that can provide its essential ‘public’ geo-ecosystem services: safe discharge of floods,...
abstract 2024
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Berndt, Alexander (author), Van Duijkeren, Niels (author), Palmieri, Luigi (author), Kleiner, Alexander (author), Keviczky, T. (author)
The trajectory planning for a fleet of automated guided vehicles (AGVs) on a roadmap is commonly referred to as the multi-agent path finding (MAPF) problem, the solution to which dictates each AGV's spatial and temporal location until it reaches its goal without collision. When executing MAPF plans in dynamic workspaces, AGVs can be...
journal article 2024
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Oomen, T.A.E. (author), Rojas, Cristian R. (author)
A direct data-driven iterative algorithm is developed to accurately estimate the H<sub>∞</sub> norm of a linear time-invariant system from continuous operation, i.e., without resetting the system. The main technical step involves a reversed-circulant matrix that can be evaluated in a model-free setting by performing experiments on the real...
journal article 2024
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van den Engel, P.J.W. (author)
An overview is given of the state-of-the-art of natural and hybrid ventilation in buildings in general. The focus of this paper is on boundary conditions for openable windows. As a case study the Co Creation Centre at the TU-Delft is discussed. Occupants live in their own houses and often in an office or other working environments as well. Due...
journal article 2024
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Lebègue, J. (author), Delahaye, Daniel (author), Hoekstra, J.M. (author)
Many transportation networks have complex infrastructures (road, rail, airspace, etc.). The quality of service in air transportation depends on weather conditions. Technical failures of the aircraft, bad weather conditions, strike of the company’s staff cause delays and disrupt traffic. How can the robustness of such networks be improved?...
conference paper 2024
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Li, Xinqi (author), Zhang, Y. (author), Zhao, Y. (author), van Gemert, J.C. (author), Tao, Q. (author)
Quantitative cardiac magnetic resonance imaging (MRI) is an increasingly important diagnostic tool for cardiovascular diseases. Yet, co-registration of all baseline images within the quantitative MRI sequence is essential for the accuracy and precision of quantitative maps. However, co-registering all baseline images from a quantitative...
conference paper 2024
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van Heel, M.E. (author), Pretelt, Manuela (author), van Gelder, M.H. (author), van Oel, C.J. (author)
Background: The COVID-19 pandemic placed healthcare design at the heart of the crisis. Hospitals faced challenges such as rapidly increasing their intensive care unit capacity, enabling physical distancing measures, quickly converting to telehealth and telework practices, and above all, keeping patients and staff safe. Improving flexibility...
journal article 2024
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Gao, Yuxing (author)
The rapid advancement in autonomous driving technology underscores the importance of studying the fragility of perception systems in autonomous vehicles, particularly due to their profound impact on public transportation safety. These systems are of paramount importance due to their direct impact on the lives of passengers and pedestrians....
master thesis 2023
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Zou, Jinyi (author)
This thesis aims to assess robustness of networks by evaluating the performance of node attack strategies, the applicability and accuracy of different approaches, and to increase robustness of networks through analysing protecting methods, including link addition and node protection strategies. To be specific, the relative size of the Largest...
master thesis 2023
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Balayn, A.M.A. (author)
Machine learning (ML) is an artificial intelligence technology that has a great potential for being adopted in various sectors of activities. Yet, it is now also increasingly recognized as a hazardous technology. Failures in the outputs of an ML system might cause physical or social harms. Besides, the development and deployment of an ML system...
doctoral thesis 2023
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Duinkerken, Elwin (author)
When trains are not actively traveling on the main rail network, they to be parked and prepared for their next journey. This is a complex problem, involving several interconnected subproblems. Additionally, there is uncertainty in this environment which can render initial plans infeasible during their execution. To ensure trains are able to...
master thesis 2023
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Nakos, Vangelis (author)
Portfolio optimization, a fundamental area of study in financial engineering,<br/>plays a crucial role in creating efficient portfolios. In this thesis, we consider<br/>a robust multi-period Mean-Variance portfolio optimization framework and<br/>apply it to real-world market data. The approach we look at incorporates a<br/>time-consistent...
master thesis 2023
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Karnani, Simran (author)
In recent years, there has been a growing interest among researchers in the explainability, fairness, and robustness of Computer Vision models. While studies have explored the usability of these models for end users, limited research has delved into the challenges and requirements faced by researchers investigating these requirements. This study...
master thesis 2023
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Dong, J. (author)
Advancements in technology and societal demands have led to increasing complexity, size, and automation in modern industrial systems. This trend makes these systems more safety-critical, as the occurrence of faults in system components or subsystems may cause the entire system to fail, resulting in significant economic losses and casualties....
doctoral thesis 2023
Searched for: subject%3A%22Robust%22
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