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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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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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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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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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van Lagen, G. (author), Abraham, E. (author), Mohajerin Esfahani, P. (author)
This article proposes an active fault isolation method for application to water distribution networks (WDNs) to localize leaks. The method relies on the classification of observed outputs to a discrete set of hypothetical faults. Due to parametric uncertainties, the outputs are random vectors that follow unknown probability distribution...
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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Mészáros, A. (author), Franzese, G. (author), Kober, J. (author)
This work investigates how the intricate task of a continuous pick & place (P&P) motion may be learned from humans based on demonstrations and corrections. Due to the complexity of the task, these demonstrations are often slow and even slightly flawed, particularly at moments when multiple aspects (i.e., end-effector movement,...
journal article 2022
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Aylett-Bullock, Joseph (author), Gilman, Robert Tucker (author), Hall, Ian (author), Kennedy, David (author), Evers, Egmond Samir (author), Katta, Anjali (author), Ahmed, Hussien (author), Fong, Kevin (author), Comes, M. (author), Gaanderse, M.Q. (author)
The spread of infectious diseases such as COVID-19 presents many challenges to healthcare systems and infrastructures across the world, exacerbating inequalities and leaving the world's most vulnerable populations at risk. Epidemiological modelling is vital to guiding evidence-informed or data-driven decision making. In forced displacement...
journal article 2022
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Zhang, Boyang (author), Sun, Xiuxia (author), Lv, Maolong (author), Liu, Shuguang (author), Li, Le (author)
In contrast with most existing results concerning unmanned aerial vehicles (UAVs) wherein material points or only attitude/longitudinal dynamics are considered, this article proposes a distributed fixed-time fault-tolerant control methodology for networked fixed-wing UAVs whose dynamics are six-degree-of-freedom with twelf-state-variables...
journal article 2022
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Eskafi, Majid (author), Dastgheib, Ali (author), Taneja, P. (author), Ulfarsson, Gudmundur F. (author), Stefansson, Gunnar (author), Thorarinsdottir, Ragnheidur I. (author)
Ports are complex engineering systems that have always been evolving to satisfy the new or changing demands of stakeholders. However, the ever-growing complexity in port sectors in a volatile environment creates a high degree of uncertainty in port planning projects. This study presents a structured framework to deal with uncertainties in the...
journal article 2021
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Zhang, Q. (author), Pan, W. (author), Reppa, V. (author)
This paper presents a novel model-reference reinforcement learning algorithm for the intelligent tracking control of uncertain autonomous surface vehicles with collision avoidance. The proposed control algorithm combines a conventional control method with reinforcement learning to enhance control accuracy and intelligence. In the proposed...
journal article 2021
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Ye, J. (author), Roy, Spandan (author), Godjevac, Milinko (author), Reppa, V. (author), Baldi, S. (author)
Construction crane vessels make use of dynamic positioning (DP) systems during the installation and removal of offshore structures to maintain the vessel's position. Studies have reported cases of instability of DP systems during offshore operation caused by uncertainties, such as mooring forces. DP “robustification” for heavy lift operations...
journal article 2021
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Martins Martinho Bessa, A.C. (author), Kroesen, M. (author), Chorus, C.G. (author)
As AI Systems become increasingly autonomous, they are expected to engage in decision-making processes that have moral implications. In this research we integrate theoretical and empirical lines of thought to address the matters of moral reasoning and moral uncertainty in AI Systems. We reconceptualize the metanormative framework for decision...
journal article 2021
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van den Berg, Paulien (author), Scholten, D.J. (author), Schachter, Jonathan (author), Blok, K. (author)
A dynamic and fast-changing environment brings challenges for generating long-term scenarios. Although the need to update scenarios for decision-making is recognized, a structured way for executing this process remains unclear. To configure a solution, we propose two concepts that need to be introduced: 1) that scenarios consist of a multi...
journal article 2021
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Tao, T. (author), Roy, S. (author), Baldi, S. (author)
Multi-area load frequency control (LFC) selects and controls a few generators in each area of the power system in an effort to dampen inter-area frequency oscillations. To effectively dampen such oscillations, it is required to enhance and lower the control activity dynamically during operation, so as to adapt to changing circumstances....
journal article 2021
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Chen, C. (author), Yang, M. (author), Reniers, G.L.L.M.E. (author)
A disruption to hazardous (flammable, explosive, and toxic) material (HAZMAT) storage plants may trigger escalation effects, resulting in more severe storage performance losses and making the performance restoration more difficult. The disruption, such as an intentional attack, may be difficult to predict and prevent, thus developing a...
journal article 2021
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Roy, Spandan (author), Baldi, S. (author), Li, Peng (author), Narayanan, Viswa (author)
Artificial-delay control is a method in which state and input measurements collected at an immediate past time instant (i.e. artificially delayed) are used to compensate the uncertain dynamics affecting the system at the current time. This work formulates an artificial-delay control method with adaptive gains in the presence of nonlinear ...
journal article 2021
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Franci, B. (author), Grammatico, S. (author)
We consider the stochastic generalized Nash equilibrium problem (SGNEP) with expected-value cost functions. Inspired by Yi and Pavel (2019), we propose a distributed generalized Nash equilibrium seeking algorithm based on the preconditioned forward-backward operator splitting for SGNEPs, where, at each iteration, the expected value of the...
journal article 2021
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de Groot, O.M. (author), Ferreira de Brito, B.F. (author), Ferranti, L. (author), Gavrila, D. (author), Alonso-Mora, J. (author)
We present an optimization-based method to plan the motion of an autonomous robot under the uncertainties associated with dynamic obstacles, such as humans. Our method bounds the marginal risk of collisions at each point in time by incorporating chance constraints into the planning problem. This problem is not suitable for online optimization...
journal article 2021
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Nieuwenhuis, E.M. (author), Cuppen, Eefje (author), Langeveld, J.G. (author), de Bruijn, J.A. (author)
Climate change and urbanization, as well as growing environmental and economic concerns, highlight the limitations of traditional wastewater practices and thereby challenge the management of urban water systems. Both in theory and in practice, it has been widely acknowledged that the challenges of the twenty-first century require solutions...
journal article 2021
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