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Guo, M. (author), De Persis, Claudio (author), Tesi, Pietro (author)We consider data-driven control of input-affine systems via approximate nonlinearity cancellation. Data-dependent semi-definite program is developed to characterize the stabilizer such that the linear dynamics of the closed-loop systems is stabilized and the influence of the nonlinear dynamics is decreased. Because of the additional...journal article 2023
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Poot, Maurice (author), van Hulst, Jilles (author), Yan, Kai Wa (author), Kostic, Dragan (author), Portegies, Jim (author), Oomen, T.A.E. (author)The increasing demands on throughput and accuracy of semiconductor manufacturing equipment necessitates accurate feedforward motion control that includes compensation of input nonlinearities. The aim of this paper is to develop a data-driven feedforward approach consisting of a Wiener feedforward, i.e., linear parameterization with an output...journal article 2023
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Martínez, Ana M. (author), Thiel, Christian (author), Szabo, Sandor (author), Gherboudj, Imen (author), van Swaaij, R.A.C.M.M. (author), Tanasa, Andreea (author), Jäger-Waldau, Arnulf (author), Taylor, Nigel (author), Smets, A.H.M. (author)Accelerating the deployment of Photovoltaic (PV) systems is a key contributing factor in achieving climate neutrality. Even though solar power is one of the cheapest energy sources and its deployment is growing rapidly around the world, an even faster growth is required to achieve existing climate goals. Besides the role that finance and...journal article 2023
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Cademartori, Giulia (author), Oneto, Luca (author), Valdenazzi, Federica (author), Coraddu, A. (author), Gambino, Andrea (author), Anguita, Davide (author)The prediction of ship motions and quiescent periods, is of paramount importance for the maritime industry. The capability to predict these events sufficiently in advance has the potential to improve the safety and efficiency of several marine operations, such as landing and take-off on aircraft carriers, transfer of cargo, and mating...review 2023
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van Haren, M. (author), Blanken, L. (author), Oomen, T.A.E. (author)The increasing demands for motion control result in a situation where Linear Parameter-Varying (LPV) dynamics have to be taken into account. Inverse-model feedforward control for LPV motion systems is challenging, since the inverse of an LPV system is often dynamically dependent on the scheduling sequence. The aim of this paper is to develop...journal article 2023
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Dinkla, R.T.O. (author), Mulders, S.P. (author), van Wingerden, J.W. (author), Oomen, T.A.E. (author)In recent years, the amount of data available from systems has drastically increased, motivating the use of direct data-driven control techniques that avoid the need of parametric modeling. The aim of this paper is to analyze closed-loop aspects of these approaches in the presence of noise. To analyze this, a unified formulation of several...journal article 2023
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Lehmann, Isabell (author), Adali, Tulay (author), Kruizinga, P. (author), Hunyadi, Borbala (author)Functional Ultrasound (fUS) is a relatively new modality to measure brain activity with a high spatio-temporal resolution. In order to collect full-brain information with this 2D imaging technique, fUS data is typically collected for a fixed position of the ultrasound probe for the duration of the experiment, before the probe is moved to the...conference paper 2023
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Cazacu, Silvia (author), Mulder, I. (author), Vande Moere, Andrew (author), Steenberghen, Thérèse (author)Data-driven domains such as public administration, health or mobility have adopted a so-called 'data ecosystem' perspective to unify the socio-technical aspects fostering data-driven collaboration. While a data ecosystem is technically able to collect and merge their different datasets, it is yet relatively unable to facilitate meaningful...conference paper 2023
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de Gelder, E. (author), Adjenughwure, Kingsley (author), Manders, Jeroen (author), Snijders, Ron (author), Paardekooper, Jan Pieter (author), Op den Camp, Olaf (author), Tejada, Arturo (author), De Schutter, B.H.K. (author)Surrogate Safety Measures (SSMs) are used to express road safety in terms of the safety risk in traffic conflicts. Typically, SSMs rely on assumptions regarding the future evolution of traffic participant trajectories to generate a measure of risk, restricting their applicability to scenarios where these assumptions are valid. In response to...journal article 2023
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Dekhovich, A. (author), Turan, O.T. (author), Jiaxiang, Y. (author), Bessa, M.A. (author)Data-driven modeling in mechanics is evolving rapidly based on recent machine learning advances, especially on artificial neural networks. As the field matures, new data and models created by different groups become available, opening possibilities for cooperative modeling. However, artificial neural networks suffer from catastrophic...journal article 2023
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Boddapati, Jagannadh (author), Flaschel, Moritz (author), Kumar, Siddhant (author), De Lorenzis, Laura (author), Daraio, Chiara (author)When the elastic properties of structured materials become direction-dependent, the number of their descriptors increases. For example, in two-dimensions, the anisotropic behavior of materials is described by up to 6 independent elastic stiffness parameters, as opposed to only 2 needed for isotropic materials. Such high number of parameters...journal article 2023
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Vasilikis, N. (author), Geertsma, R.D. (author), Coraddu, A. (author)Maritime industry has set ambitious goals to drastically reduce its greenhouse gas emissions through stipulating and enforcing a number of energy assessment measures. Unfortunately, measures like the EEDI, EEXI, SEEMP and CII do not account for the operational and environmental uncertainty of operations at sea, even though they do provide a...journal article 2023
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Liu, Zhengke (author), Ma, Xiaolei (author), Liu, Xiaohan (author), Correia, Gonçalo (author), Shi, Ruifeng (author), Shang, Wenlong (author)Optimizing battery swapping station (BSS) configuration is essential to enhance BSS’s energy savings and economic feasibility, thereby facilitating energy refueling efficiency of electric taxis (ETs). This study proposes a novel modular battery swapping mode (BSM) that allows ET drivers to choose the number of battery blocks to rent according...journal article 2023
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Lourenço Baptista, M. (author), Prendinger, Helmut (author)Prognostics and health management is an engineering discipline that aims to support system operation while ensuring maximum safety and performance. Prognostics is a key step of this framework, focusing on developing effective maintenance policies based on predictive methods. Traditionally, prognostics models forecast the degradation process...journal article 2023
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Pini, M. (author), Giuffré, A. (author), Cappiello, A. (author), Majer, M. (author), Bunschoten, E.C. (author)Modeling non-ideal compressible flows in the context of computational fluid-dynamics (CFD) requires the calculation of thermodynamic state properties at each step of the iterative solution process. To this purpose, the use of a built-in fundamental equation of state (EoS) in entropic form, i.e., s= s(e, ρ), can be particularly cost-effective,...book chapter 2023
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Jansen, Femke A. (author), Jongen, Harro J. (author), Jacobs, Cor M.J. (author), Bosveld, Fred C. (author), Buzacott, Alexander J.V. (author), Heusinkveld, Bert G. (author), Kruijt, Bart (author), van der Molen, Michiel (author), Uijlenhoet, R. (author)Land cover controls the land-atmosphere exchange of water and energy through the partitioning of solar energy into latent and sensible heat. Observations over all land cover types at the regional scale are required to study these turbulent flux dynamics over a landscape. Here, we aim to study how the control of daily and midday latent and...journal article 2023
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Knoester, Max J. (author), Bešinović, Nikola (author), Afghari, A.P. (author), Goverde, R.M.P. (author), van Egmond, Jochen (author)Disruptions occur frequently in railway networks, requiring timetable adjustments, while causing serious delays and cancellations. However, little is known about the performance dynamics during disruptions nor the extent to which the resilience curve applies in practice. This paper presents a data-driven quantification approach for an ex-post...journal article 2023
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Nadi Najafabadi, A. (author), Yorke-Smith, N. (author), Snelder, M. (author), van Lint, J.W.C. (author), Tavasszy, Lorant (author)Understanding preferences and behaviours in road freight transport is valuable for planning and analysis. This paper proposes a data-driven vehicle routing and scheduling approach for use as a descriptive tool to study road freight transport activities. The model developed seeks to capture planners’ or drivers’ preferences in order to...journal article 2023
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Cong, Yangfan (author), Yu, Suihuai (author), Chu, Jianjie (author), Su, Zhaojing (author), Huang, Y. (author), Li, Feilong (author)Eliciting user needs from mass online reviews is playing a significant role in the product iteration process. Efficient user needs elicitation does achieve considerable benefits for maintaining higher competitiveness and a speedier lifecycle. However, there is inevitably an online review scarcity about new products due to the short time on...journal article 2023
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Grabe, Cornelia (author), Jäckel, Florian (author), Khurana, Parv (author), Dwight, R.P. (author)Purpose: This paper aims to improve Reynolds-averaged Navier Stokes (RANS) turbulence models using a data-driven approach based on machine learning (ML). A special focus is put on determining the optimal input features used for the ML model. Design/methodology/approach: The field inversion and machine learning (FIML) approach is applied to...journal article 2023