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Irnich, Jakob (author), van der Wal, C.N. (author), Duives, D.C. (author), Auping, Willem L. (author)
Different leader-follower behaviors may be observed in models, such as group gathering, backtracking, and changing between groups. However, a comparison of these behaviors resulting in possible substantially different estimates of optimal evacuation procedures is lacking. Hence, we developed an agent-based model in combination with exploratory...
conference paper 2023
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Zhang, Y. (author), Negenborn, R.R. (author), Atasoy, B. (author)
The objective of this study is to address the issue of service time uncertainty in synchromodal freight transport, which can cause delays, inefficiencies, and reduced satisfaction for shippers. The proposed solution is an online deep Reinforcement Learning (RL) approach that takes into account the service time uncertainty, assisted by an...
journal article 2023
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Yang, M. (author), Sun, H. (author), Geng, S. (author)
Recent years have seen the increasing complexity of engineered systems. Complexity and uncertainty also exist in engineered systems’ interactions with human operators, managers, and the organization. Resilience, focusing on a system's ability to anticipate, absorb, adapt to, and recover from disruptive situations, can provide an umbrella concept...
journal article 2023
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Celemin, Carlos (author), Kober, J. (author)
In order to deploy robots that could be adapted by non-expert users, interactive imitation learning (IIL) methods must be flexible regarding the interaction preferences of the teacher and avoid assumptions of perfect teachers (oracles), while considering they make mistakes influenced by diverse human factors. In this work, we propose an IIL...
journal article 2023
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Hadjisotiriou, Sophie (author), Marchau, V.A.W.J. (author), Walker, W.E. (author), Rikkert, Marcel Olde (author)
Policymakers around the world were generally unprepared for the global COVID-19 pandemic. As a result, the virus has led to millions of cases and hundreds of thousands of deaths. Theoretically, the number of cases and deaths did not have to happen (as demonstrated by the results in a few countries). In this pandemic, as in other great disasters,...
journal article 2023
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Zhou, C. (author), van Nooijen, R.R.P. (author), Kolechkina, A.G. (author)
The representation of uncertainty in results is an important aspect of statistical techniques in hydrology and climatology. Hypothesis tests and point estimates are not well suited for this purpose. Other statistical tools, such as confidence curves, are better suited to represent uncertainty. Therefore three parametric methods to construct...
journal article 2023
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Huang, R. (author), Zhao, Xuan (author), Yuan, Y. (author), Yu, Qiang (author), Liu, Chengqing (author), Daamen, W. (author)
Pedestrian tactical choices and operational movement in evacuations essentially pertain to decision-making under risk and uncertainty. However, in microscopic evacuation models, this attribute has been greatly overlooked, even lacking a methodology to delineate the related decision characteristics (bounded rationality and risk attitudes), let...
journal article 2023
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Prasad, Pooja (author), Duker, Annelieke (author), de Fraiture, Charlotte (author), van der Zaag, P. (author)
There is an urgent need in sub-Saharan Africa (SSA) to enhance irrigation access to meet the challenges of growing population and climate risk. To achieve this, big investments are currently planned in large irrigation infrastructure. We believe there is danger in following this conventional approach, which requires big lumpsum investments,...
journal article 2023
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van der Werf, Job (author), Kapelan, Z. (author), Langeveld, J.G. (author)
Model Predictive Control (MPC) of combined sewer systems can reduce environmental degradation caused by uncontrolled overflows. However, practical uncertainties are often neglected when assessing the potential of MPC strategies. This paper aims to understand the risks associated with using a non-perfect internal MPC-model, real precipitation...
journal article 2023
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Jafarian, M. (author), Mamduhi, Mohammad H. (author), Johansson, Karl H. (author)
This article studies stochastic relative phase stability, i.e., stochastic phase-cohesiveness, of discrete-time phase-coupled oscillators. The stochastic phase-cohesiveness in two types of networks is studied. First, we consider oscillators coupled with 2π-periodic odd functions over underlying undirected graphs subject to both multiplicative...
journal article 2023
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Zhou, C. (author)
Climate change is incompatible with the assumption of stationarity. This has lead to a sharp increase in the detection and study of nonstationarity in hydro-meteorological processes. Most hydro-meteorological processes are still analyzed by studying time series of observations. From the perspective of statistical characteristics, a stationary...
doctoral 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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