Searched for: subject%3A%22Convexity%22
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Noom, J. (author)
The complexity of automated systems has grown considerably during the past decades. This convolutes the observation of possible faults in these systems. If not being revealed timely, such faults can lead to catastrophic failures. As a result, there is a continuous interest in sophisticated fault diagnosis techniques. Since it is generally...
doctoral thesis 2024
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van der Jagt, T.F.W. (author), Jongbloed, G. (author), Vittorietti, M. (author)
Consider an opaque medium that contains 3D particles. All particles are convex bodies of the same shape, but they vary in size. The particles are randomly positioned and oriented within the medium and cannot be observed directly. Taking a planar section of the medium we obtain a sample of observed 2D section profile areas of the intersected...
journal article 2024
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Heusdens, R. (author), Zhang, Guoqiang (author)
In this article, we consider the problem of distributed optimisation of a separable convex cost function over a graph, where every edge and node in the graph could carry both linear equality and/or inequality constraints. We show how to modify the primal-dual method of multipliers (PDMM), originally designed for linear equality constraints,...
journal article 2024
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Yan, Y. (author), Pargalgauskas, S. (author), Helmons, R.L.J. (author), Schott, D.L. (author)
A convex pattern surface is proposed and optimized to mitigate the sliding wear of bulk handling equipment caused by interaction with bulk solids. This work investigates the effectiveness of the convex pattern surface on wear reduction during interactions with non-spherical particles. Multiple representative particles, obtained through a...
journal article 2024
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Arrieta Rodriguez, Ana (author)
Laser Powder Bed Fusion (LPBF) is a metal additive manufacturing process in which a three-dimensional object is obtained by selectively melting and fusing a metallic powder with a heat source, such as a laser beam, in successive thin layers. This process allows to create lightweight parts with complex geometry. However, parts created by LPBF...
master thesis 2023
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Gogora, Kristián (author)
Nonconvexity in learning curves is almost always undesirable. A machine learning model with a non-convex learning curve either requires a larger quantity of data to observe progress in its accuracy or experiences an exponential decrease of accuracy at low sample sizes, with no improvement in accuracy even when more data points are added. This...
bachelor thesis 2023
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van Dobben de Bruyn, J. (author)
doctoral thesis 2023
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Gielisse, A.S. (author)
Most recent works on optical flow use convex upsampling as the last step to obtain high-resolution flow. In this work, we show and discuss several issues and limitations of this currently widely adopted convex upsampling approach. We propose a series of changes, inspired by the observation that convex upsampling as currently implemented performs...
master thesis 2023
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Pamososuryo, A.K. (author), Liu, Y. (author), Gybel Hovgaard, Tobias (author), Ferrari, Riccardo M.G. (author), van Wingerden, J.W. (author)
Economic model predictive control (EMPC) has received increasing attention in the wind energy community due to its ability to trade-off economic objectives with ease. However, for wind turbine applications, inherent nonlinearities, such as from aerodynamics, pose difficulties in attaining a convex optimal control problem (OCP), by which real...
journal article 2023
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Classens, Koen (author), Heemels, W. P.M.H. (author), Oomen, T.A.E. (author)
The performance of fault detection filters relies on a high sensitivity to faults and a low sensitivity to disturbances. The aim of this paper is to develop an approach to directly shape these sensitivities, expressed in terms of minimum and maximum singular values. The developed method offers an alternative solution to the H<sub>-</sub>/H...
journal article 2023
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van de Ruit, M. (author), Eisemann, E. (author)
Spectral rendering is a crucial solution for photorealistic rendering. However, most available texture assets are RGB-only, and access to spectral content is limited. Uplifting methods that recover full spectral representations from RGB inputs have therefore received much attention. Yet, most methods are deterministic, while, in reality,...
conference paper 2023
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Hille, Sander C. (author), Theewis, E.S. (author)
Explicit expressions and computational approaches are given for the Fortet–Mourier distance between a positively weighted sum of Dirac measures on a metric space and a positive finite Borel measure. Explicit expressions are given for the distance to a single Dirac measure. For the case of a sum of several Dirac measures one needs to resort to...
journal article 2023
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Gkiotsalitis, K. (author), Cats, O. (author), Liu, T. (author), Bult, J. M. (author)
The trips of a high-frequency urban rail line are typically planned with the aim of achieving even time headways. This results in reliable services for each urban rail line, where successive trips have the same time headway. Maintaining even time headways for each service line has significant advantages for the passengers of the line, but it...
journal article 2023
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Yan, Y. (author), Helmons, R.L.J. (author), Carr, Michael (author), Wheeler, Craig (author), Schott, D.L. (author)
A convex pattern surface has been proposed and optimized to reduce sliding wear of bulk handling equipment by adjusting the flow behaviour of bulk material. This study aims at modelling the surface deformation of the convex pattern sample to investigate how effectively the sample reduces sliding wear. Archard wear model and a deformable...
journal article 2023
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Zattoni Scroccaro, P. (author), Sharifi K., Arman (author), Mohajerin Esfahani, P. (author)
In the past few years, online convex optimization (OCO) has received notable attention in the control literature thanks to its flexible real-time nature and powerful performance guarantees. In this article, we propose new step-size rules and OCO algorithms that simultaneously exploit gradient predictions, function predictions and dynamics,...
journal article 2023
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Anderson, Daron (author), Iosifidis, G. (author), Leith, Douglas J. (author)
We consider the general problem of online convex optimization with time-varying budget constraints in the presence of predictions for the next cost and constraint functions, that arises in a plethora of network resource management problems. A novel saddle-point algorithm is designed by combining a Follow-The-Regularized-Leader iteration with...
journal article 2023
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Leith, Douglas J. (author), Iosifidis, G. (author)
In this paper we extend the classical Follow-The-Regularized-Leader (FTRL) algorithm to encompass time-varying constraints, through adaptive penalization. We establish sufficient conditions for the proposed Penalized FTRL algorithm to achieve O(t) regret and violation with respect to a strong benchmark X^tmax. Lacking prior knowledge of the...
conference paper 2023
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Jordan, Sebastian O. (author), Sherson, T.W. (author), Heusdens, R. (author)
In recent years, the large increase in connected devices and the data that are collected by these devices have caused a heightened interest in distributed processing. Many practical distributed networks are of heterogeneous nature, because different devices in the network can have different specifications. Because of this, it is highly desirable...
conference paper 2023
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Monteil, Jean-Baptiste (author), Iosifidis, G. (author), Dusparic, Ivana (author)
The virtualization of wireless networks enables new services to access network resources made available by the Network Operator (NO) through a Network Slicing market. The different service providers (SPs) have the opportunity to lease the network resources from the NO to constitute slices that address the demand of their specific network...
conference paper 2023
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Redel, Floor (author)
Ill-posed Linear Inverse Problems arise in various research domains, such as control engineering and image processing. Having a fast algorithm is a great benefit when working with high-dimensional signals, such as images. However, fast convergence and iterations with low computational complexity are challenging.<br/>In this master thesis report,...
master thesis 2022
Searched for: subject%3A%22Convexity%22
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