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Feng, Z. (author), Gallo, A.J. (author), Liu, Y. (author), Pamososuryo, A.K. (author), Ferrari, Riccardo M.G. (author), van Wingerden, J.W. (author)The current trend in the evolution of wind turbines is to increase their rotor size in order to capture more power. This leads to taller, slender and more flexible towers, which thus experience higher dynamical loads due to the turbine rotation and environmental factors. It is hence compelling to deploy advanced control methods that can...conference paper 2022
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Ananduta, W. (author), Grammatico, S. (author)We formulate the optimal flow problem in a multi-area integrated electrical and gas system as a mixed-integer optimization problem by approximating the non-linear gas flows with piece-wise affine functions, thus resulting in a set of mixed-integer linear constraints. For its solution, we propose a novel algorithm that consists in one stage for...conference paper 2022
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Yu, G. (author), Soeiro, Thiago B. (author), Dong, J. (author), Bauer, P. (author)This paper presents the semiconductor losses analytical equations in closed form for two-level voltage source converter, three-level neutral point clamped (NPC) and three-level T-Type PFC topologies in high power applications. The reverse parallel current conduction between the SiC MOSFETs channel and body diode is considered. A circuit...conference paper 2022
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Aarnoudse, Leontine (author), Kon, Johan (author), Classens, Koen (author), van Meer, Max (author), Poot, Maurice (author), Tacx, Paul (author), Strijbosch, Nard (author), Oomen, T.A.E. (author)Cross-coupled iterative learning control (ILC) can achieve high performance for manufacturing applications in which tracking a contour is essential for the quality of a product. The aim of this paper is to develop a framework for norm-optimal cross-coupled ILC that enables the use of exact contour errors that are calculated offline, and...conference paper 2022
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Barbierato, L. (author), Pons, Enrico (author), Mazza, Andrea (author), Bompard, Ettore (author), Subramaniam Rajkumar, Vetrivel (author), Palensky, P. (author), Macii, Enrico (author), Bottaccioli, Lorenzo (author), Patti, Edoardo (author)Cosimulation techniques are gaining popularity amongst the power system research community to analyze future scalable smart grid solutions. However, complications such as multiple communication protocols, uncertainty in latencies are holding up the widespread usage of these techniques for the power system analysis. These issues are even...journal article 2022
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Stella, F. (author), Obayashi, Nana (author), Della Santina, C. (author), Hughes, Josie (author)The control possibilities for soft robots have long been hindered by the lack of accurate yet computationally treatable dynamic models of soft structures. Polynomial curvature models propose a solution to this quest for continuum slender structures. Nevertheless, the results produced with this class of models have been so far essentially...journal article 2022
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Ding, J. (author), Han, Linyan (author), Ge, Ligang (author), Liu, Yizhang (author), Pang, Jianxin (author)Robust locomotion is a challenging task for humanoid robots, especially when considering dynamic disturbances. This article proposes a disturbance observer-based cascaded model predictive control (MPC) approach for bipedal locomotion, with the capability of exploiting ankle, stepping, hip and height variation strategies. Specifically, based...journal article 2022
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Peruffo, A. (author), Mazo, M. (author)We employ the scenario approach to compute probably approximately correct (PAC) bounds on the average inter-sample time (AIST) generated by an unknown PETC system, based on a finite number of samples. We extend the scenario optimisation to multiclass SVM algorithms in order to construct a PAC map between the concrete state-space and the inter...journal article 2022
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Karaminis, Themis (author), Hintz, Florian (author), Scharenborg, O.E. (author)Oral communication often takes place in noisy environments, which challenge spoken-word recognition. Previous research has suggested that the presence of background noise extends the number of candidate words competing with the target word for recognition and that this extension affects the time course and accuracy of spoken-word recognition....journal article 2022
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Bellizio, Federica (author), Xu, Wangkun (author), Qiu, Dawei (author), Ye, Yujian (author), Papadaskalopoulos, Dimitrios (author), Cremer, Jochen (author), Teng, Fei (author), Strbac, Goran (author)Digitalization is one of the key drivers for energy system transformation. The advances in communication technologies and measurement devices render available a large amount of operational data and enable the centralization of such data storage and processing. The greater access to data opens up new opportunities for a more efficient and...journal article 2022
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Zheng, Y. (author), Shyrokau, B. (author), Keviczky, T. (author), Sakka, Monzer Al (author), Dhaens, Miguel (author)The benefits of automated driving can only be fully realized if the occupants are protected from motion sickness. Active suspensions hold the potential to raise the comfort level in automated passenger vehicles by enabling new functionalities in chassis control. One example is to actively lean the vehicle body toward the center of the corner...journal article 2022
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Wu, L. (author), Rao, Siddharth (author), Taouil, M. (author), Marinissen, Erik Jan (author), Kar, Gouri Sankar (author), Hamdioui, S. (author)The manufacturing process of STT-MRAM requires unique steps to fabricate and integrate magnetic tunnel junction (MTJ) devices which are data-storing elements. Thus, understanding the defects in MTJs and their faulty behaviors are paramount for developing high-quality test solutions. This article applies the advanced device-aware test to...journal article 2022
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He, Daojing (author), Du, Runmeng (author), Zhu, Shanshan (author), Zhang, Min (author), Liang, K. (author), Chan, Sammy (author)Data island effectively blocks the practical application of machine learning. To meet this challenge, a new framework known as federated learning was created. It allows model training on a large amount of scattered data owned by different data providers. This article presents a parallel solution for computing logistic regression based on...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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van der Neut, J.R. (author), Brackenhoff, J.A. (author), Meles, G.A. (author), Zhang, L. (author), Slob, E.C. (author), Wapenaar, C.P.A. (author)A Green's function in an acoustic medium can be retrieved from reflection data by solving a multidimensional Marchenko equation. This procedure requires a priori knowledge of the initial focusing function, which can be interpreted as the inverse of a transmitted wavefield as it would propagate through the medium, excluding (multiply)...journal article 2022
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Dutta, Shamak (author), Wilde, N. (author), Smith, Stephen L. (author)In this paper, we consider a subset selection problem in a spatial field where we seek to find a set of k locations whose observations provide the best estimate of the field value at a finite set of prediction locations. The measurements can be taken at any location in the continuous field, and the covariance between the field values at...conference paper 2022
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Mkhoyan, T. (author), Ruland, O.L. (author), De Breuker, R. (author), Wang, Xuerui (author)Inspired by nature, smart morphing technologies enable the aircraft of tomorrow to sense their environment and adapt the shape of their wings in flight to minimize fuel consumption and emissions. A primary challenge on the road to this feature is how to use the knowledge gathered from sensory data to establish an optimal shape adaptively and...journal article 2022
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An integrated in silico-in vitro approach for identifying therapeutic targets against osteoarthritisLesage, Raphaëlle (author), Ferrao Blanco, Mauricio N. (author), Narcisi, Roberto (author), Welting, Tim (author), van Osch, G.J.V.M. (author), Geris, Liesbet (author)Background: Without the availability of disease-modifying drugs, there is an unmet therapeutic need for osteoarthritic patients. During osteoarthritis, the homeostasis of articular chondrocytes is dysregulated and a phenotypical transition called hypertrophy occurs, leading to cartilage degeneration. Targeting this phenotypic transition has...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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Derner, Erik (author), Kubalik, Jiri (author), Babuska, R. (author)Continual model learning for nonlinear dynamic systems, such as autonomous robots, presents several challenges. First, it tends to be computationally expensive as the amount of data collected by the robot quickly grows in time. Second, the model accuracy is impaired when data from repetitive motions prevail in the training set and outweigh...journal article 2021