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Toonen, Sanny (author)
Building upon a conceptual framework of elements that play a role in the management of uncertainties, an empirical study was performed to learn about the uncertainties in the energy transition. For this, interviews were held and an expert panel was organized. <br/><br/>It was found that uncertainty is an unavoidable element of project management...
master thesis 2022
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Meggouh, Mamoun (author)
Construction projects are filled with uncertainty. Such projects are becoming more complex: Many different interrelated aspects that are subject to change play a role in the delivery of construction work. This makes it interesting to know what exactly is uncertain in these projects, and what can be done to manage uncertainty. The aim of this...
master thesis 2022
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Hermans, Bruno (author)
Illicit supply chain networks are not well mapped. Regulators do not know how goods flow from supplier to retailer. There is uncertainty about whom is involved, where goods originate from, and what quantities are being shipped. Simulation models are effective tools to find measures against the distribution of illicit goods such as personal...
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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Bonavita, Daniele (author)
From 2018 to 2020, the city of Breda (NL) faced drought, with significant economic losses and water scarcity problems. The water board within which the city is located began to consider new possible water management practices, due to the unsustainability of the current ones. This study aims to investigate how a change of the current paradigm can...
master thesis 2022
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Eil, Willem-Jan (author)
There has been a growing interest in improving the operating efficiency of warehouses, which is one of the critical facilities used in the logistics sector. This thesis examines the impact of order characteristics on the performance of different configurations of the outbound logistics of a 3PL warehouse. A contingency approach combined with a...
master thesis 2022
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Baldi, S. (author), Roy, Spandan (author), Yang, Kang (author), Liu, Di (author)
Effective design of autopilots for fixed-wing unmanned aerial vehicles (UAVs) is still a great challenge, due to unmodeled effects and uncertainties that these vehicles exhibit during flight. Unmodeled effects and uncertainties comprise longitudinal/lateral cross-couplings, as well as poor knowledge of equilibrium points (trimming points) of...
journal article 2022
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Li, Peng (author), Liu, Di (author), Baldi, S. (author)
Adaptive integral sliding mode control (AISMC) is an extension of adaptive sliding mode control which is a way to ensure sliding motion while handling system uncertainties. However, conventional AISMC formulations require to different extent a priori knowledge of the system uncertainty: either the upper bound of the uncertainty or of its time...
journal article 2022
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Raja, A.A. (author), Grammatico, S. (author)
In this article, we consider a sequence of transferable utility coalitional games, where the actual coalitional values are unknown but vary within known bounds. As a solution to the resulting family of games, we formalize the notion of 'robust core.' Our main contribution is to design two distributed algorithms, namely 1) distributed payoff...
journal article 2022
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Scarabaggio, P. (author), Grammatico, S. (author), Carli, Raffaele (author), Dotoli, Mariagrazia (author)
In this article, we propose a distributed demand-side management (DSM) approach for smart grids taking into account uncertainty in wind power forecasting. The smart grid model comprehends traditional users as well as active users (prosumers). Through a rolling-horizon approach, prosumers participate in a DSM program, aiming at minimizing...
journal article 2022
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Sarafraz, Mohammad Saeed (author), Proskurnikov, Anton V. (author), Tavazoei, Mohammad Saleh (author), Mohajerin Esfahani, P. (author)
In this article, we investigate the problem of practical output regulation, i.e., to design a controller that brings the system output in the vicinity of a desired target value while keeping the other variables bounded. We consider uncertain systems that are possibly nonlinear and the uncertainty of their linear parts is modeled element wise...
journal article 2022
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Wang, X. (author), Alonso-Mora, J. (author), Wang, M. (author)
Road traffic safety has attracted increasing research attention, in particular in the current transition from human-driven vehicles to autonomous vehicles. Surrogate measures of safety are widely used to assess traffic safety but they typically ignore motion uncertainties and are inflexible in dealing with two-dimensional motion. Meanwhile,...
journal article 2022
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Van Cauwenbergh, N. (author), Dourojeanni, P.A. (author), van der Zaag, P. (author), Brugnach, M. (author), Dartee, K. (author), Giordano, R. (author), Lopez-Gunn, Elena (author)
This paper explores the concept of “institutional readiness” (IR) applied to the adoption and mainstreaming of Nature-based solutions (NBS) to deal with climate related risks. We argue that barriers towards up-scaling and mainstreaming of NBS are a manifestation of uncertainty, and are often associated with the ‘readiness’ of the...
journal article 2022
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Doijode, P.S. (author), Hickel, S. (author), van Terwisga, T.J.C. (author), Visser, K. (author)
We propose and analyse an optimization method that uses a machine learning approach to solve multi-objective, constrained propeller optimization problems. The method uses an online learning strategy where explainable supervised classifiers learn the location of the Pareto front and advise search strategies. The classifiers are trained with...
journal article 2022
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Kammouh, O. (author), Kok, M.W.A. (author), Nogal Macho, M. (author), Binnekamp, R. (author), Wolfert, A.R.M. (author)
Changes in a construction project schedule can impact the project's planned duration, resulting in penalties. A manual trial-and-error probabilistic approach is usually conducted to find an appropriate set of corrective measures to mitigate delays of the overall project. However, this approach does not capture the actual goal-oriented...
journal article 2022
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Li, M. (author), Jiang, X. (author), Carroll, James (author), Negenborn, R.R. (author)
While offshore wind energy is showing enormous potential, effective approaches to enhance its economics are being sought at the same time. The design of maintenance strategy is a type of strategic decision-making for offshore wind farms, aiming to improve energy production and reduce maintenance expenses. As a complicated and challenging task...
journal article 2022
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Liao, D.L. (author), Zhu, Shun Peng (author), Correia, J.H.G. (author), De Jesus, Abílio M.P. (author), Veljkovic, M. (author), Berto, Filippo (author)
Wind, as a sustainable and affordable energy source, represents a strong alternative to traditional energy sources. However, wind power is only one of the options, together with other renewable energy sources. Consequently, the core concerns for wind turbine manufacturers and operators are to increase its reliability and decrease costs,...
journal article 2022
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Tran, N.B. (author), Van Der Kwast, Johannes (author), Mul, Marloes (author), Seyoum, S.D. (author), Uijlenhoet, R. (author), Jewitt, G.P.W. (author)
Evapotranspiration (ET), a key variable in both water and energy cycles. It is very challenging to measure or estimate in large regions. Among many approaches to estimate ET indirectly (e.g. through hydrological modelling), models that are based on satellite remote sensing data (RS) are increasingly being used. However, the RS-based models...
conference paper 2022
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Wang, Lu (author), Robertson, Amy (author), Jonkman, Jason (author), Kim, Jang (author), Shen, Zhi‐Rong (author), Koop, Arjen (author), Chandramouli, P. (author), Viré, A.C. (author), Ramesh Reddy, L. (author)
Currently, the design of floating offshore wind systems is primarily based on mid-fidelity models with empirical drag forces. The tuning of the model coefficients requires data from either experiments or high-fidelity simulations. As part of the OC6 (Offshore Code Comparison Collaboration, Continued, with Correlation, and unCertainty (OC6) is a...
journal article 2022
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Mody, Prerak (author), Chaves-de-Plaza, Nicolas F. (author), Hildebrandt, K.A. (author), van Egmond, R. (author), de Ridder, H. (author), Staring, Marius (author)
Deep learning models for organ contouring in radiotherapy are poised for clinical usage, but currently, there exist few tools for automated quality assessment (QA) of the predicted contours. Bayesian models and their associated uncertainty, can potentially automate the process of detecting inaccurate predictions. We investigate two Bayesian...
journal article 2022
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