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Papachristos, George (author), van de Kaa, G. (author)
Standards competition is a complicated process influenced by a large number of factors and mechanisms. This article develops a simulation model that draws on current theory of standards competition dynamics and represents the interplay of strategic factors that firms can use to gain a competitive advantage. The model is used to reproduce four...
review 2020
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Toimil, Alexandra (author), Losada, Iñigo J. (author), Nicholls, Robert J. (author), Dalrymple, Robert A. (author), Stive, M.J.F. (author)
Climate change is and will continue altering the world's coasts, which are the most densely populated and economically active areas on earth and home for highly valuable ecosystems. While there is considerable relevant research, in the authors' experience this problem remains challenging for coastal engineering. This paper reviews important...
review 2020
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Tscheikner-Gratl, F. (author), Bellos, Vasilis (author), Schellart, Alma (author), Moreno Rodenas, A. (author), Muthusamy, Manoranjan (author), Langeveld, J.G. (author), Clemens, F.H.L.R. (author), Shucksmith, James (author), Heuvelink, Gerard B.M. (author)
This paper aims to stimulate discussion based on the experiences derived from the QUICS project (Quantifying Uncertainty in Integrated Catchment Studies). First it briefly discusses the current state of knowledge on uncertainties in sub-models of integrated catchment models and the existing frameworks for analysing uncertainty. Furthermore, it...
review 2019
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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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Delrieu, G. (author)
A report describing a method for uncertainty and sensitvity analysis that can be applied within the context of flood risk analysis
report 2006
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Groothuizen, R.J.P. (author)
In this report several methods for modeling uncertainty in expert systems are discussed. An overview is given of methods used in various existing expert systems and an attempt is made to put these methods into their proper perspective.
report 1986
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Gouldby, B. (author)
A report describing a method for uncertainty and sensitvity analysis that can be applied within the context of flood risk analysis
report 2009
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Kanning, W. (author)
Uncertainties are introduced in probabilistic risk analysis when we deal with parameters that are not deterministic (exactly known) but that are unknown instead, hence uncertain. This report describes how uncertainties influence the reliability of flood defence systems. The purpose of the study is to identify all uncertainties that influence the...
report 2009
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Hall, J. (author)
Task 20 has contributed to the methods and application of uncertainty analysis by targeting novel areas of uncertainty analysis and decision support. The research fell into four sub-tasks: 1) Development of an overall framework for uncertainty analysis in flood risk management decisions. 2) Development of new methods to deal with the uncertainty...
report 2009
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Brenner, T. (author), Werker, C. (author)
When advising policy we face the fundamental problem that economic processes are connected with uncertainty and thus policy can err. In this paper we show how the use of simulation models can reduce policy errors. We suggest that policy is best based on socalled abductive simulation models, which help to better understand how policy measures can...
journal article 2009
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Jacobs, J.F. (author), Van de Poel, I. (author), Osseweijer, P. (author)
The risks of novel technologies, such as nano(bio)technology cannot be fully assessed due to the existing uncertainties surrounding their introduction into society. Consequently, the introduction of innovative technologies can be conceptualised as a societal experiment, which is a helpful approach to evaluate moral acceptability. This approach...
journal article 2010
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Ruijven, B. (author), Van der Sluijs, J.P. (author), Van Vuuren, D.P. (author), Janssen, P. (author), Heuberger, P.S.C. (author), De Vries, B. (author)
Uncertainties in energy demand modelling originate from both limited understanding of the real-world system and a lack of data for model development, calibration and validation. These uncertainties allow for the development of different models, but also leave room for different calibrations of a single model. Here, an automated model calibration...
journal article 2009
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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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Lv, Maolong (author), De Schutter, B.H.K. (author), Cao, Jinde (author), Baldi, S. (author)
Practical tracking results have been reported in the literature for high-order odd-rational-power nonlinear dynamics (a chain of integrators whose power is the ratio of odd integers). Asymptotic tracking remains an open problem for such dynamics. This note gives a positive answer to this problem in the framework of prescribed performance...
journal article 2023
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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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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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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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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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Delimpaltadakis, Giannis (author), Mazo, M. (author)
Scheduling communication traffic in networks of event-triggered control (ETC) systems is challenging, as their sampling times are unknown, hindering application of ETC in networks. In previous work, finite-state abstractions were created, capturing the sampling behavior of linear time-invariant (LTI) ETC systems with quadratic triggering...
journal article 2023
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Chatterjee, Sarthak (author), Alessandretti, Andrea (author), Aguiar, A. Pedro (author), Gonçalves Melo Pequito, S.D. (author)
Fractional-order dynamical networks are increasingly being used to model and describe processes demonstrating long-term memory or complex interlaced dependencies among the spatial and temporal components of a wide variety of dynamical networks. Notable examples include networked control systems or neurophysiological networks which are created...
journal article 2023
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