Searched for: subject:"robustness"
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Schepers, Job (author)
Due to an increase demand for renewable and sustainable forms of energy, the offshore wind industry is growing rapidly. To make wind energy more cost-effective, new wind turbines are becoming larger in size and are placed further offshore. This results in deeper waters, making the installation more difficult. The current methodology uses a jack...
master thesis 2021
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Schoemaker, Benjamin (author)
Following the Paris Agreement, the national government of the Netherlands reached the Climate Agreement together with more than 100 organizations. As part of this agreement, the industry sector is faced with the ambitious goal of 59% CO2 reduction in 2030 with respect to 1990 levels. Since the naphtha cracking industry is one of the most...
master thesis 2021
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Bons, Wouther (author)
Currently, trained machine learning models are readily available, but their training data might not be (for example due to privacy reasons). This thesis investigates how pre-trained models can be combined for performance on all their source domains, without access to data. This problem is formulated as a Multiple-Source Domain Adaptation (MSA)...
master thesis 2021
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van den Ouden, Florian (author)
Applications for thermoelastic metamaterials, in which extremely positive, zero or negative thermal expansion is desired, are plentiful. Nevertheless they are rarely applied, due to their poor manufacturability. To enhance their applicability, a topology optimization framework is proposed and verified, able to generate finite thermoelastic...
master thesis 2021
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El Uamari, Hamza (author)
Stand capacity assessment is an essential factor in airport planning and design due to the large investments associated with airport development. Fulfilling anticipated demand while still considering future growth is key in airport master planning. In this paper, a mixed-integer linear programming optimisation model is proposed, which determines...
master thesis 2021
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Rapp, S. (author)
Airborne wind energy (AWE) is a novel technology that aims at accessing wind resources at higher altitudes which cannot be reached with conventional wind turbines. This technological challenge is accomplished using tethered aircraft or kites in combination with either onboard or ground-based generators. In the former case, the kinetic energy of...
doctoral thesis 2021
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Wu, L. (author)
As STT-MRAM mass production and deployment in industry is around the corner, high-quality yet cost-efficient manufacturing test solutions are crucial to ensure the required quality of products being shipped to end customers. This dissertation focuses on STT-MRAM testing, covering three abstraction levels: manufacturing defects, fault models, and...
doctoral thesis 2021
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van der Pluijm, Ricardo (author)
The Flying V is an innovative new aircraft concept currently being developed by the faculty of Aerospace Engineering at Delft University of Technology. This aircraft is a flying wing having a large sweep on the inner section, and a small sweep angle at the outer, giving the aircraft its characteristic V shape. The objective of this research is...
master thesis 2021
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Sripathy, Kiran (author)
Commercial FSI solvers employ partitioned FSI, wherein CFD and CSM solvers are used sequentially to resolve the coupling of interface displacement and stress/force. For strongly coupled problems, multiple sub-iterations of both the solvers are required for a stable and accurate solution. IQN-ILS framework requires fewer sub-iterations for...
master thesis 2021
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Straathof, Robin (author)
Brachytherapy (BT) is an essential component in the treatment of cervical cancer as it allows for locally delivering a high dose to the tumour with minimal trauma to surrounding tissues and organs at risk (OARs). However, in advanced cervical cancer patients commercially available BT applicators are particularly ill-adapted and therefore result...
master thesis 2021
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Roy, S. (author), Lee, Jinoh (author), Baldi, S. (author)
This brief proposes a new adaptive-robust formulation for time-delay control (TDC) under a less-restrictive stability condition. TDC relies on estimating the unknown system dynamics via the artificial introduction of a time delay, often referred to as time-delay estimation (TDE). In conventional TDC, the estimation error, called TDE error, is...
journal article 2021
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He, Z. (author), Navneet, Kumar (author), van Dam, Wirdmer (author), Van Mieghem, P.F.A. (author)
Multimodal freight transport allows switching among different modes of transport to utilize transport facilities more efficiently. This paper proposes an approach on network modeling and robustness assessment for multimodal freight transport networks, where the nodes represent junctions, terminals and crossings, and the links represent...
journal article 2021
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Zuo, Renwei (author), Lv, Maolong (author), Li, Yinghui (author), Nie, Hongyan (author)
This paper presents an adaptive neural control to solve the tracking problem of a class of pure-feedback systems with non-differentiable non-affine functions in the presence of unknown periodically time-varying disturbances. To handle with the design difficulty from non-affine structure of pure-feedback system, a continuous and positive...
journal article 2021
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Kouw, W.M. (author), Loog, M. (author)
Consider a domain-adaptive supervised learning setting, where a classifier learns from labeled data in a source domain and unlabeled data in a target domain to predict the corresponding target labels. If the classifier’s assumption on the relationship between domains (e.g. covariate shift, common subspace, etc.) is valid, then it will usually...
journal article 2021
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L’Ortye, J. (author), Mitici, M.A. (author), Visser, H.G. (author)
At the interface between airport airside and landside operations, the assignment of flights to gates is key to ensure efficient operations and a high quality of service for passengers. We propose a mixed-integer linear program for an integrated flight-to-gate assignment that considers both airside as well as landside constraints on the...
journal article 2021
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Sun, P. (author), He, Z. (author), Kooij, R.E. (author), Van Mieghem, P.F.A. (author)
Optical networks are vulnerable to failures due to targeted attacks or large-scale disasters. The recoverability of optical networks refers to the ability of an optical network to return to a desired performance level after suffering topological perturbations such as link failures. This paper proposes a general topological approach and...
journal article 2021
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Lingmont, Hidde (author)
The advent of machine learning and the availability of big data brought a novel approach for researchers to discover fundamental laws of motion. Computers allow to quickly find underlying physical laws from experimental data, without having in-depth knowledge of the system. Applications are widespread among numerous fields such as physics,...
master thesis 2020
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Terun, Kaan (author)
The International Maritime Organization forecasts that greenhouse gasses produced by ships will increase rapidly in the near future, unless precautions are taken now. This will require all ships to reduce their emissions, especially container vessels which are producing the most emissions. One way of reducing emissions, with existing technology,...
master thesis 2020
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Khalik, Alan (author)
With data-driven control it is possible to design a controller for systems with non-parametric models. The intermediate step of modelling or identification of the system is not necessary, because a non-parametric model of the system can be obtained by means of experimental data. In the linear time-invariant (LTI) framework, these non-parametric...
master thesis 2020
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Werner, Oliver (author)
In clinical practice, as a first approximation, the severity of an abnormality on an image is often determined by measuring its volume. Researchers often first segment this abnormality with a neural network trained by voxel-wise labels and thereafter extract the volume. Instead of this indirect two steps approach, we propose to train neural...
master thesis 2020
Searched for: subject:"robustness"
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