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Psychas, D.V. (author), Khodabandeh, Amir (author), Teunissen, P.J.G. (author)The corrections needed to realize integer ambiguity resolution-enabled precise point positioning (PPP-RTK) at a single-receiver user are often treated as if they are deterministic quantities. The present contribution aims to study and analyze the effect the neglected uncertainty of these corrections, which are subject to time delay, has on...journal article 2022
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Zarifsanayei, Amin Reza (author), Antolínez, Jose A.A. (author), Etemad-Shahidi, Amir (author), Cartwright, Nick (author), Strauss, Darrell (author)Although there have been many efforts in the literature to hindcast the patterns of longshore sediment transport (LST), they mainly disregarded uncertainty issues. Forcing datasets, wave transformation methods, and LST models are among the main sources of uncertainty in LST estimations. The combination of the aforementioned sources of...journal article 2022
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Zhu, H. (author), Ferreira de Brito, B.F. (author), Alonso Mora, J. (author)In this paper, we present a decentralized and communication-free collision avoidance approach for multi-robot systems that accounts for both robot localization and sensing uncertainties. The approach relies on the computation of an uncertainty-aware safe region for each robot to navigate among other robots and static obstacles in the...journal article 2022
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Zarifsanayei, Amin Reza (author), Antolínez, Jose A.A. (author), Etemad-Shahidi, Amir (author), Cartwright, Nick (author), Strauss, Darrell (author), Lemos, Gil (author)This study quantifies the uncertainties in the projected changes in potential longshore sediment transport (LST) rates along a non-straight coastline. Four main sources of uncertainty, including the choice of emission scenarios, Global Circulation Model-driven offshore wave datasets (GCM-Ws), LST models, and their non-linear interactions were...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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Verdier, C.F. (author), Kochdumper, Niklas (author), Althoff, Matthias (author), Mazo, M. (author)We propose a counterexample-guided inductive synthesis framework for the formal synthesis of closed-form sampled-data controllers for nonlinear systems to meet STL specifications over finite-time trajectories. Rather than stating the STL specification for a single initial condition, we consider an (infinite and bounded) set of initial...journal article 2022
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Carli, Raffaele (author), Cavone, Graziana (author), Pippia, T.M. (author), De Schutter, B.H.K. (author), Dotoli, Mariagrazia (author)This paper focuses on the control of microgrids where both gas and electricity are provided to the final customer, i.e., multi-carrier microgrids. Hence, these microgrids include thermal and electrical loads, renewable energy sources, energy storage systems, heat pumps, and combined heat and power units. The parameters characterizing the...journal article 2022
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Wahlstrom, Johan (author), Kok, M. (author)The last years have seen a growing body of literature on data-driven pedestrian inertial navigation. However, despite this, it is still unclear how to efficiently combine classical models and other a priori information with existing machine learning frameworks. In this paper, we first categorize existing approaches to data-driven pedestrian...journal article 2022
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de Putter, Arjen (author), Hendriks, M.A.N. (author), Rots, J.G. (author), Yang, Y. (author), Engen, Morten (author), van den Bos, Ab A. (author)Nineteen 2D nonlinear finite element analysis (NLFEA) solution strategies were benchmarked against a wide variety of 101 experiments on reinforced concrete beams failing in bending, flexural shear, or shear compression. The relatively high number of solution strategies was motivated by the conviction that choices for the constitutive models,...journal article 2022
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Huber, Gerhard (author), Bogenberger, Klaus (author), van Lint, J.W.C. (author)The comparably low driving ranges of battery electric vehicles (BEV) cause time-consuming recharging stops if long distances have to be covered. Thus, navigation systems not only have to compute routes leading from the BEV's current position to the destination, but also to plan recharging stops. This type of routing problem is often modeled...journal article 2022
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Riillo, Cesare Antonio F. (author), Allamano-Kessler, Renaud (author), Asnafi, Nader (author), Fomin, Vladislav V. (author), van de Kaa, G. (author)Standards may be arrived at through various coordination mechanisms, including cooperation, coopetition, or competition. This article explores how technological uncertainty affects the coordination mechanism for standardization. The article is based on the Community Innovation Survey, a sizeable firm-level survey representative of the...journal article 2022
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Sakis Meliopoulos, A.P. (author), Papic, Milorad (author), Tindemans, Simon H. (author), Ekisheva, Svetlana (author), Yue, Meng (author), Logan, Douglas M. (author)Composite Power System Reliability is defined as the computational procedure that quantifies the probability that the power system will perform the function of delivering electric power to customers adequately, on a continuous basis and with an acceptable quality. This definition leaves many details undefined and exemplifies the ambiguity in...conference paper 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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Doijode, P.S. (author), Hickel, S. (author), van Terwisga, T.J.C. (author), Visser, K. (author)This paper introduces a machine learning approach for optimizing propellers. The method aims to improve the computational cost of optimization by reducing the number of evaluations required to find solutions. This is achieved by directing the search towards design clusters with good performance, i.e. high propulsive efficiency and low...journal article 2022
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de Hoop, S. (author), Voskov, D.V. (author), Bertotti, G. (author), Barnhoorn, A. (author)Fracture networks are abundant in subsurface applications (e.g., geothermal energy production, CO<sub>2</sub> sequestration). Fractured reservoirs often have a very complex structure, making modeling flow and transport in such networks slow and unstable. Consequently, this limits our ability to perform uncertainty quantification and increases...journal article 2022
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Wang, X. (author), Roy, Spandan (author), Fari, S. (author), Baldi, S. (author)The high maneuverability of fixed-wing unmanned aerial vehicles (UAVs) exposes these systems to several dynamical and parametric uncertainties, severely affecting the fidelity of modeling and causing limited guidance autonomy. This article shows enhanced autonomy via adaptation mechanisms embedded in the guidance law: a vector-field method is...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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Bartl, Daniel (author), Kupper, Michael (author), Lux, Thibaut (author), Papapantoleon, A. (author)Motivated by applications in model-free finance and quantitative risk management, we consider Frechet classes of multivariate distribution functions where additional information on the joint distribution is assumed, while uncertainty in the marginals is also possible. We derive optimal transport duality results for these Frechet classes that...journal article 2022
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Joshi, A. (author), Thakolkaran, P. (author), Zheng, Y. (author), Escande, Maxime (author), Flaschel, Moritz (author), De Lorenzis, Laura (author), Kumar, Siddhant (author)Within the scope of our recent approach for Efficient Unsupervised Constitutive Law Identification and Discovery (EUCLID), we propose an unsupervised Bayesian learning framework for discovery of parsimonious and interpretable constitutive laws with quantifiable uncertainties. As in deterministic EUCLID, we do not resort to stress data, but...journal article 2022
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Salazar Duque, Edgar Mauricio (author), Giraldo, Juan S. (author), Vergara Barrios, P.P. (author), Nguyen, Phuong (author), van der Molen, Anne (author), Slootweg, Han (author)The operation of a community energy storage system (CESS) is challenging due to the volatility of photovoltaic distributed generation, electricity consumption, and energy prices. Selecting the optimal CESS setpoints during the day is a sequential decision problem under uncertainty, which can be solved using dynamic learning methods. This...journal article 2022