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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
document
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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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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Zhu, Y. (author), Goverde, R.M.P. (author)
Unexpected disruptions occur frequently in the railways, during which many train services cannot run as scheduled. This paper deals with timetable rescheduling during such disruptions, particularly in the case where all tracks between two stations are blocked for hours. In practice, a disruption may become shorter or longer than predicted. To...
journal article 2020
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Wang, Yixia (author), Lin, Shu (author), Wang, Yibing (author), De Schutter, B.H.K. (author), Xu, Jungang (author)
Currently, with the development of driving technologies, driverless vehicles gradually are becoming more and more available. Therefore, there would be a long period of time during which self-driving vehicles and human-driven vehicles coexist. However, for a mixed platoon, it is hard to control the formation due to the existence of the manual...
journal article 2023
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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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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
document
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
document
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
document
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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