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Sun, Beibei (author), Sun, Yubo (author), Ye, G. (author), De Schutter, Geert (author)
In this paper, a series of experiments were conducted to systematically and quantitively explore the effects of control factors on the early age properties, i.e., workability and strength of slag and fly ash-based alkali-activated paste (BFS/FA-AAP). The control factors on the workability (flowability and setting time) of BFS/FA-AAP include...
journal article 2022
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Liu, S. (author), Sadowska, A.D. (author), De Schutter, B.H.K. (author)
In this paper a scenario-based Distributed Model Predictive Control (DMPC) approach based on a reduced scenario tree is developed for large-scale freeway networks. In the new scenario-based DMPC approach, uncertainties in a large-scale freeway network are distinguished into two categories: global uncertainties for the overall network and...
journal article 2022
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Orozco, Camilo (author), Borghetti, Alberto (author), De Schutter, B.H.K. (author), Napolitano, Fabio (author), Pulazza, Giorgia (author), Tossani, Fabio (author)
The paper presents a coordinated day-ahead and intra-day approach for the scheduling of the resources in a local energy community (LEC). The considered LEC consists of a collective of power prosumers that can directly trade energy with each other in addition to the external provider. The scheduling approach is based on the alternating...
journal article 2022
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Remmerswaal, Willemijn (author), Sun, D. (author), Jamshidnejad, A. (author), De Schutter, B.H.K. (author)
In general, the performance of model-based controllers cannot be guaranteed under model uncertainties or disturbances, while learning-based controllers require an extensively sufficient training process to perform well. These issues especially hold for large-scale nonlinear systems such as urban traffic networks. In this paper, a new...
conference paper 2022
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de Gelder, E. (author), Hof, Jasper (author), Cator, Eric (author), Paardekooper, Jan Pieter (author), Camp, Olaf Op den (author), Ploeg, Jeroen (author), De Schutter, B.H.K. (author)
The development of assessment methods for the performance of Automated Vehicles (AVs) is essential to enable the deployment of automated driving technologies, due to the complex operational domain of AVs. One candidate is scenario-based assessment, in which test cases are derived from real-world road traffic scenarios obtained from driving...
journal article 2022
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Lv, Maolong (author), De Schutter, B.H.K. (author), Shi, Chao (author), Baldi, S. (author)
This work studies logic-based distributed switching control for nonlinear agents in power-chained form, where logic-based (switching) control arises from the online estimation of the control directions assumed to be unknown for all agents. Compared to the state-of-the-art logic-based mechanisms, the challenge of power-chained dynamics is that...
journal article 2022
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de Gelder, E. (author), Paardekooper, Jan Pieter (author), Khabbaz Saberi, Arash (author), Elrofai, Hala (author), Camp, Olaf op den (author), Kraines, Steven (author), Ploeg, Jeroen (author), De Schutter, B.H.K. (author)
The development of new assessment methods for the performance of automated vehicles is essential to enable the deployment of automated driving technologies, due to the complex operational domain of automated vehicles. One contributing method is scenario-based assessment in which test cases are derived from real-world road traffic scenarios...
journal article 2022
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Ilioudi, A. (author), Dabiri, A. (author), Wolf, B.J. (author), De Schutter, B.H.K. (author)
Deep learning has enabled the rapid expansion of computer vision tasks from image frames to video segments. This paper focuses on the review of the latest research in the field of computer vision tasks in general and on object localization and identification of their associated pixels in video frames in particular. After performing a systematic...
journal article 2022
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Qiu, Xiujiao (author), Chen, J. (author), Ye, G. (author), De Schutter, Geert (author)
Prediction of alkali silica reaction is still difficult due to the lack of a comprehensive understanding of its chemical fundamentals. In-site experimentally revealing the fundamentals is not realistic as ASR shows over several years or even decades and is affected by many factors. In this paper, by utilizing a 3D reactive-transport...
journal article 2022
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Li, D. (author), De Schutter, B.H.K. (author)
Data-driven control without using mathematical models is a promising research direction for urban traffic control due to the massive amounts of traffic data generated every day. This article proposes a novel distributed model-free adaptive predictive control (D-MFAPC) approach for multiregion urban traffic networks. More specifically, the...
journal article 2022
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Cavone, Graziana (author), van den Boom, A.J.J. (author), Blenkers, Lex (author), Dotoli, Mariagrazia (author), Seatzu, Carla (author), De Schutter, B.H.K. (author)
Railways are a well-recognized sustainable transportation mode that helps to satisfy the continuously growing mobility demand. However, the management of railway traffic in large-scale networks is a challenging task, especially when both a major disruption and various disturbances occur simultaneously. We propose an automatic rescheduling...
journal article 2022
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Todorović, Uglješa (author), Frejo, José Ramón D. (author), De Schutter, B.H.K. (author)
The Model Predictive Control (MPC) framework has shown great potential for the control of Variable Speed Limits (VSLs) and Ramp Metering (RM) installations. However, the implementation to large freeway networks remains challenging. One major reason is that, by considering the VSLs to be discrete decision variables, an extremely difficult Mixed...
journal article 2022
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Tao, Qinghua (author), Li, Zhen (author), Xu, Jun (author), Lin, Shu (author), De Schutter, B.H.K. (author), Suykens, Johan A.K. (author)
Traffic flow (TF) prediction is an important and yet a challenging task in transportation systems, since the TF involves high nonlinearities and is affected by many elements. Recently, neural networks have attracted much attention for TF prediction, but they are commonly black boxes with complex architectures and difficult to be interpreted,...
journal article 2022
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Yue, D. (author), Baldi, S. (author), Cao, Jinde (author), De Schutter, B.H.K. (author)
This article addresses the continuous-time distributed optimization of a strictly convex summation-separable cost function with possibly nonconvex local functions over strongly connected digraphs. Distributed optimization methods in the literature require convexity of local functions, or balanced weights, or vanishing step sizes, or algebraic...
journal article 2022
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Fu, J. (author), Nunez, Alfredo (author), De Schutter, B.H.K. (author)
Maintenance of generation units is a measure to ensure the reliability of power systems. In this paper, a novel blockchain-based truthful condition-based maintenance of generation units (T-CBMGU) platform is proposed to innovate and upgrade state-of-the-art CBMGU. In addition, two valid inequalities are proposed to accelerate the convergence...
journal article 2022
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Sun, Yubo (author), Tao, Yaxin (author), Rahul, A. V. (author), Ye, G. (author), De Schutter, Geert (author)
The rapid workability loss of alkali-activated materials (AAM) has been a major obstacle limiting its onsite application. In this study, two conventional SPs (made of polynaphthalene sulfonate (PNS) and lignosulfonate (LS) salts), which have been reported to be effective in some specific AAM mixtures were separately applied in alkali...
journal article 2022
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Wang, Yihui (author), Zhu, Songwei (author), Li, Shukai (author), Yang, Lixing (author), De Schutter, B.H.K. (author)
In practice, the operation of high-speed trains is often affected by adverse weather conditions or equipment failures, which result in delays and even cancellations of train services. In this article, a novel two-layer hierarchical model predictive control (MPC) model is proposed for on-line high-speed railway delay management and train...
journal article 2022
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Qiu, Xiujiao (author), Chen, J. (author), Ye, G. (author), De Schutter, Geert (author)
ASR (alkali-silica reaction) is one of the toughest durability problems in engineering. However, the damage induced by ASR is still fairly unpredictable due to the lack of microstructural information of cement-based materials affected by ASR, while the microstructure determines the global performance. In order to fill this gap, a multiscale...
conference paper 2021
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Yang, Kai (author), Ye, G. (author), De Schutter, Geert (author)
Water molecules exist as two spin isomers, differing by the relative orientation of the nuclear spins of the two hydrogen atoms: either antiparallel (para-water, S=0) or parallel (ortho-water, S=1) [1]. The transition between these nuclear spin states can be achieved through magnetic symmetry breaking via a field gradient across the spins...
conference paper 2021
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Fu, J. (author), Song, Guobing (author), De Schutter, B.H.K. (author)
Fault location algorithms for transmission lines use the parameters of the transmission line to locate faults after the faults have occurred along the line. Although these parameters can be estimated by the phasor measurement units (PMUs) at the terminal(s) of the transmission line continuously, the uncertainty in the measurements will give...
journal article 2021
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