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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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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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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, 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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Kulsum, U. (author)Long-term planning in urbanizing deltas has to deal with deep uncertainties in socio-economic development and climate change. Adaptive Delta Management (ADM) has been developed as an approach that acknowledges these and similar uncertainties. The Bangladesh Delta Plan 2100 has, in principle, adopted the ADM approach, and it recognizes general...doctoral thesis 2021
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Zammit, C. (author)Unmanned Aerial Vehicles (UAVs) are being integrated into all spheres of life, for a wide range of application in civil, commercial and military applications in both indoor and outdoor environments. UAV onboard intelligence is a paramount requirement in the realisation of UAV Traffic Management System (UTM) and Air Traffic Management (ATM)...doctoral thesis 2021
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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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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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Daniilidis, Alexandros (author), Nick, H.M. (author), Bruhn, D.F. (author)Direct Use Geothermal Systems (DUGS) are increasing their installed capacity worldwide and denser developments with multiple doublets are becoming more common. Interference between doublets therefore becomes an additional concern to subsurface uncertainties. Faults can be either barriers or conduits to flow and can affect the fluid pathways...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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De Jaeger, Ina (author), Lago, Jesus (author), Saelens, Dirk (author)To assess the impact of implementing energy efficiency and renewable energy measures, urban building energy models are emerging. In these models, due to the lack of data, the natural variability of the existing building stock is often highly underestimated and uncertainty on the simulated energy use arises. Therefore, this work proposes a...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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Delimpaltadakis, Giannis (author), Mazo, M. (author)In this work, we derive a region-based self-triggered control (STC) scheme for nonlinear systems with bounded disturbances and model uncertainties. The proposed STC scheme is able to guarantee different performance specifications (e.g. stability, boundedness, etc.), depending on the event-triggered control (ETC) triggering function that is...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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Klenk, M.B.O.T. (author), van de Poel, I.R. (author)Pandemics like COVID-19 confront us with decisions about life and death that come with great uncertainty, factual as well as moral. How should policy makers deal with such uncertainty? We suggest that rather than to deliberate until they have found the right course of action, they better do moral experiments that generate relevant experiences...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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Jia, Yueyi (author), Zheng, Feifei (author), Zhang, Qingzhou (author), Duan, Huan Feng (author), Savic, Dragan (author), Kapelan, Z. (author)Hydraulic modeling of a foul sewer system (FSS) enables a better understanding of the behavior of the system and its effective management. However, there is generally a lack of sufficient field measurement data for FSS model development due to the low number of in-situ sensors for data collection. To this end, this study proposes a new method...journal article 2021
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Kammouh, O. (author), Nogal Macho, M. (author), Binnekamp, R. (author), Wolfert, A.R.M. (author)Probabilistic Monte Carlo simulations are often used to determine a project's completion time given a required probability level. During project execution, schedule changes negatively affect the probability of meeting the project's completion time. A manual trial and error approach is then conducted to find a set of mitigation measures to...journal article 2021