Searched for: subject%3A%22Linearization%22
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Correia da Silva Guerra Nunes, Miguel (author)
Airline reserve fleet capacity is a strategic resource that provides airlines the means to add robustness to their schedules. This paper focuses on leveraging past data on airlines' execution of planned schedules (resulting delays, cancellations and missed connections), along with the disruptions that prohibited the flawless execution of the...
master thesis 2024
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den Bakker, Yvonne (author)
E-mobility, in particular electric vehicles (EVs), play a crucial role in the energy transition. While businesses are increasingly adopting EVs, there is still a lot of opportunity to grow. One aspect of this growth is the way these vehicles are used by companies, especially when it comes to the logistics of EV charging. To encourage companies...
master thesis 2024
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Hazelaar, Sander (author)
New insights into the landing behavior of bumblebees show an adaptive strategy where the optical flow expansion of the landing target is step-wise regulated. In this article, the potential benefits of this approach are studied by replicating the landing experiment with a quadrotor. To this end, an open-loop switching method is developed,...
master thesis 2024
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Beeravelli, Arun Datta (author)
The Global Shipping industry is responsible for transporting 90% of global commerce and is responsible for 3% of global greenhouse gas (GHG) emissions. Addressing this, the International Maritime Organization (IMO) aims to reduce GHG emissions from international shipping by 40% by 2030 and achieve net zero by 2050. This study explores Low...
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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Caranti, Leonardo (author)
This Master Thesis investigates the possible improvements to the Target Time Management concept to optimize the arrival flows for SWISS International Airlines. The aim is to improve operational performance based on the current model used, as well as prove that Target Time Management constitutes a valuable system to improve operations in a...
master thesis 2024
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Simonov, Alex (author)
Machine learning, a pivotal aspect of artificial intelligence, has dramatically altered our interaction with technology and our handling of extensive data. Through its ability to learn and make decisions from patterns and previous experiences, machine learning is growing in influence on different aspects of our lives. It is, however, shown that...
master thesis 2024
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Skoulas, Vasileios (author)
Long truck queues and congestion around terminals is a common sight, however they come with many negative externalities for all the stakeholders involved. Truck Appointment System (TAS) is the most commonly used system to face these problems, but it still has some drawbacks and limitations. Consequently, in this research an extension of the...
master thesis 2024
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Hyde, Edward (author)
As the aviation industry has agreed on the goal of achieving net-zero CO2 emissions by 2050, various mitigation strategies are being deployed and developed. This paper focuses on reducing emissions at airports by towing aircraft instead of taxiing with their main engines; dispatch towing. This is done by developing a model to optimise the...
master thesis 2024
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Arnoldus, Matthijs (author)
Computational efficiency is essential for large-scale mathematical optimisation problems, such as the generation expansion planning problem, to be practically applicable. In linear programming solvers, crossover is frequently a bottleneck when solving optimisation problems. This study aims at determining why crossover is a bottleneck in solving...
master thesis 2024
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Huijsmans, Tom (author)
The exploration of compliant mechanisms, especially those providing linear motion, has become a central focus in recent engineering research. These mechanisms, characterized by their monolithic bodies and reduced component interactions, present an attractive alternative to traditional rigid mechanisms, having reduced friction, decreased energy...
master thesis 2023
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Kerkhove, Casper (author)
The recent success of - and demand for - compliant mechanisms has increased rapidly within the micro-electromechanical systems-, aircraft-, spacecraft-, surgical-, and precision-instrument industries. Yet, even greater success may be achieved by overcoming the computational cost and instability of the mechanisms' design methodology. This...
master thesis 2023
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ZHOU, Johnny (author)
With the strong backing and advocacy from the EU for railway transport, it is crucial to focus on innovative and efficient technologies to maintain service quality. In daily train operations, traffic uncertainties lead to perturbations, which may result in two types of track conflicts: disturbances and disruptions.<br/><br/>In the current...
master thesis 2023
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Schipper, Jurrien (author)
Modelling of Floating Offshore Wind Turbines (FOWTs) is challenging due to the strong coupling between the aerodynamics of the turbine and the hydrodynamics of the floating structure, which makes the dynamic response of the whole system highly complex. A variety of numerical approaches can be used to predict this response.<br/><br/>The frequency...
master thesis 2023
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Nawrocki, Maciej (author)
Transmit digital-to-analog converters have become an essential building block for state-of-the-art Ethernet infrastructures. They are also one of the most significant sources of power consumption in an Ethernet physical layer (PHY) transceiver. These devices must maintain high linearity and a well-defined impedance of 100 Ω while operating at a...
master thesis 2023
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van Dijk, Julian (author)
The Hierarchical Subspace Iteration Method is a novel method used to compute eigenpairs of the Laplace-Beltrami problem. It reduces the number of iterations required for convergence by restricting the problem to a smaller space and prolonging the solution as a starting point. This method has shown great performance improvements for Laplace...
master thesis 2023
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ATHREY, ARCHITH (author)
This thesis addresses the Learning-Based Control (LBC) of unknown partially observable systems in the Linear Quadratic (LQ) paradigm. In this setting of learning-based LQ control, the control action influences not only the control performance but also the rate at which the system is being learnt, causing a conflict between learning and control ...
master thesis 2023
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Tatabitovska, Ana (author)
Maximum Satisfiability (MaxSAT) is a known problem within the optimization field which has led many different solving approaches to be devised in the last several decades. From Linear Search to unsatisfiable core-based solvers, many MaxSAT algorithms rely on cardinality constraints to express how many soft clauses can be violated at most....
master thesis 2023
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Dommerholt, Naomi (author)
This study investigates the connection between macro-scale parameters (MSP) and micro-scale water quality parameters (MSWQP) in the Brantas River, employing a multivariate linear regression (MLR) modelling approach. The analysis reveals several critical insights into the complex dynamics of water quality in this river system.<br/><br/>Key...
master thesis 2023
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Quinlan, Alex (author)
One of the most well-established codes for modeling non-linear Magnetohydrodynamics (MHD) for tokamak reactors is JOREK, which solves these equations with a Bézier surface based finite element method. This code produces a highly sparse but also very large linear system. The main solver behind the code uses the Generalized Minimum Residual Method...
master thesis 2023
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