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Mahajan, N. (author), Hegyi, A. (author), Hoogendoorn, S.P. (author), van Arem, B. (author)
Drivers initiate a discretionary lane change when they perceive an anticipated improvement in their own driving condition from moving to another lane. However, such a lane change can slow down other vehicles on the target lane, and even worse initiate a disturbance. In this work, we argue that the blocking effect triggered by individual lane...
journal article 2024
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Song, Yanjie (author), Ou, Junwei (author), Pedrycz, Witold (author), Suganthan, Ponnuthurai Nagaratnam (author), Wang, X. (author), Xing, Lining (author), Zhang, Yue (author)
Multitype satellite observation, including optical observation satellites, synthetic aperture radar (SAR) satellites, and electromagnetic satellites, has become an important direction in integrated satellite applications due to its ability to cope with various complex situations. In the multitype satellite observation scheduling problem ...
journal article 2024
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Tang, Zhuorui (author), Zhao, Shibo (author), Li, Jian (author), Zuo, Yuanhui (author), Tian, Jing (author), Tang, Hongyu (author), Fan, J. (author), Zhang, Kouchi (author)
This work addresses a novel technique for selecting the best process parameters for the 4H–SiC epitaxial layer in a horizontal hot-wall chemical vapor reactor using a transient multi-physical (thermal-fluid-chemical) simulation model and combined with a machine-learning model. An experiment was performed to validate the feasibility of the...
journal article 2024
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Bai, Chengchao (author), Yan, Peng (author), Piao, Haiyin (author), Pan, W. (author), Guo, Jifeng (author)
This article explores deep reinforcement learning (DRL) for the flocking control of unmanned aerial vehicle (UAV) swarms. The flocking control policy is trained using a centralized-learning-decentralized-execution (CTDE) paradigm, where a centralized critic network augmented with additional information about the entire UAV swarm is utilized...
journal article 2024
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Daoutidis, Prodromos (author), Lee, Jay H. (author), Rangarajan, Srinivas (author), Chiang, Leo (author), Gopaluni, Bhushan (author), Schweidtmann, A.M. (author), Harjunkoski, Iiro (author), Mercangöz, Mehmet (author), Mesbah, Ali (author)
This “white paper” is a concise perspective of the potential of machine learning in the process systems engineering (PSE) domain, based on a session during FIPSE 5, held in Crete, Greece, June 27–29, 2022. The session included two invited talks and three short contributed presentations followed by extensive discussions. This paper does not...
journal article 2024
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Yu, Y. (author), De Herdt, Lode (author), Shekhar, A. (author), Chandra Mouli, G.R. (author), Bauer, P. (author)
The rising demand for electric vehicles (EVs) in the face of limited grid capacity encourages the development and implementation of smart charging (SC) algorithms. Experimental validation plays a pivotal role in advancing this field. This article formulates a hierarchical mixed integer programming EV SC algorithm designed for low voltage (LV)...
journal article 2024
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Ibrahim, Yara (author)
Despite being a critical aspect in improving the building stock’s environmental performance and achieving the global environmental goals, the retrofit of traditional historic buildings is hindered by a lack of comprehensive guidelines tailored to their complex building physics and heritage preservation requirements. The conventional retrofit...
master thesis 2023
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Wan, Z. (author)
Self-healing concrete has great potential to enhance the durability of concrete structures without significantly increasing the initial costs. Among the self-healing approaches, vascular self-healing cementitious composite is capable of supplying healing agents to the cracked region in a continuous way or multiple times. However, the use of...
doctoral thesis 2023
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Goldman, Thomas (author)
This thesis proposes an unsupervised Physics-Informed Neural Network (PINN) for solving optimal control problems with the direct method to design and optimize transfer trajectories. The network adheres analytically to boundary conditions and includes the objective fitness as regularization in its loss function. A test scenario of a planar Earth...
master thesis 2023
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Pan, Wenxin (author)
Subgraph matching is a fundamental problem in various fields such as machine learning, computer vision, image processing, and bioinformatics, where detecting specific substructures within an object is often crucial. In these domains, not only structure plays an essential role, but also the feature information on nodes should be incorporated,...
master thesis 2023
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Snijders, Hanne (author)
In the realm of fluid dynamics and particle transport, the control of particle trajectories represents a formidable challenge. It would be useful to be able to optimally navigate an oceanographic float from one pre-set location to another by solely changing its buoyancy. In this thesis, a first step in discovering whether this is possible and...
bachelor thesis 2023
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Ewald, Vincentius (author)
One of the classical solutions to maintain the aircraft structural integrity is to rely on the analysis of non-destructive testing (NDT) inspector with various inspection methods. However, it is relatively expensive in matter of time and costs to train human resources until the certification is reached. Further, in majority of the cases of...
doctoral thesis 2023
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van der Linden, Tim (author)
With 40% of global greenhouse gas emissions originating from the built environment, the construction sector has a big responsibility to reduce global warming. The impact that structural designs have, is often calculated by simply multiplying a carbon factor with the mass of the structure. As gridshell structures feature a high number of nodes,...
master thesis 2023
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Prażmowski Baczyk, Juan Carlos (author)
The world is in a climatic crisis. Extreme weather events are stronger and more frequent than ever before, exacerbated by human induced CO2 from energy production and the built environment. Only 5% of world energy is produced by renewable energy sources, presenting an enormous gap between sustainability and greenhouse gas emitting practices....
master thesis 2023
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Koch, Johannes (author)
The Real-Valued Gene-pool Optimal Mixing Evolutionary Algorithm (RV-GOMEA) is a state-of-the-art algorithm for single-objective, real-valued optimization. As many practical applications are inherently constrained, evolutionary algorithms are equipped with constraint handling techniques to allow optimizing constrained problems. The approach...
master thesis 2023
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Bellanger, Etienne (author)
This thesis aims to study the design and optimization of composite wing components for aircraft, focusing on the pivotal goal of reducing weight while preserving and enhancing structural performance. This is one of the goals of the COST Action joined in the span of the thesis: CA18203 - Optimising Design for Inspection (ODIN). Within this COST...
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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Smeenk, Rutger (author)
This research aims at quantifying the uncertainty in the predictions of tensor network constrained kernel machines, focusing on the Canonical Polyadic Decomposition (CPD) constrained kernel machine. Constraining the parameters in the kernel machine optimization problem to be a CPD results in a linear computational complexity in the number of...
master thesis 2023
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Ibañez Jimenez, Isabel (author)
This thesis aims to calculate optimal trajectories from a user-defined Earth-bounded orbit to a user-defined Moon-bounded orbit using a bi-impulse direct transfer ultimately under the influence of a full dynamical model with perturbations, hence reflecting the actual physical environment.<br/><br/>Two tools are developed to achieve this goal....
master thesis 2023
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Eblé, Leonard (author)
Currently, hydrogen consumption is heavily concentrated within larger inflexible industrial applications, where it is produced onsite for further downstream processing. Considering traditional production pathways have a high emission intensity, electrolytic hydrogen production could prove an essential decarbonization pathway for existing,...
master thesis 2023
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