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Lodel, M. (author), Ferreira de Brito, B.F. (author), Serra Gomez, A. (author), Ferranti, L. (author), Babuska, R. (author), Alonso-Mora, J. (author)Search missions require motion planning and navigation methods for information gathering that continuously replan based on new observations of the robot's surroundings. Current methods for information gathering, such as Monte Carlo Tree Search, are capable of reasoning over long horizons, but they are computationally expensive. An alternative...conference paper 2022
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Ghanipoor, Farhad Ghanipoor (author), Murguia, Carlos (author), Mohajerin Esfahani, P. (author), van de Wouw, Nathan (author)In this paper, we present a methodology for actuator and sensor fault estimation in nonlinear systems. The method consists of augmenting the system dynamics with an approximated ultra-local model (a finite chain of integrators) for the fault vector and constructing a Nonlinear Unknown Input Observer (NUIO) for the augmented dynamics. Then, fault...conference paper 2022
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Li, Peng (author), Liu, Di (author), Xia, Xin (author), Baldi, S. (author)The operation of Unmanned Aerial Vehicles (UAVs) is often subject to state-dependent alterations and unstructured uncertainty factors, such as unmodelled dynamics, environmental weather disturbances, aerodynamics gradients, or changes in inertia and mass due to payloads. While a large number of autopilot solutions have been proposed to operate...conference paper 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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Aydin, N.Y. (author), Krishnan, S. (author), Yu, H. (author), Comes, M. (author)Cities are complex socio-technical systems (STSs) under tremendous stress due to climate change. To incorporate resilience into urban plans and move towards evidence-based long-term decision-making, we must unravel complex land-use dynamics and the effect of climate uncertainties on cities. Currently, land-use dynamics are explored through...conference paper 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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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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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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Zwaginga, J.J. (author), Pruyn, J.F.J. (author)The maritime energy transition presents deep uncertainties that are difficult to deal with in the current ship design process. Even though other fields have stressed using adaptive strategies and explorative methods to deal with deep uncertainty, it is rarely included in ship design. Therefore, this paper compares three applicable methods to...conference paper 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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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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Colonna, Kyle J. (author), Koutrakis, Petros (author), Kinney, Patrick L. (author), Cooke, R.M. (author), Evans, John S. (author)Epidemiologic cohort studies have consistently demonstrated that long-term exposure to ambient fine particles (PM<sub>2.5</sub>) is associated with mortality. Nevertheless, extrapolating results to understudied locations may involve considerable uncertainty. To explore this issue, this review discusses the evidence for (i) the associated risk...review 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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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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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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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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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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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