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Shavazipour, Babooshka (author), Kwakkel, J.H. (author), Miettinen, Kaisa (author)This paper proposes a novel optimization approach for multi-scenario multi-objective robust decision making, as well as an alternative way for scenario discovery and identifying vulnerable scenarios even before any solution generation. To demonstrate and test the novel approach, we use the classic shallow lake problem. We compare the results...journal article 2021
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Gravell, Benjamin (author), Mohajerin Esfahani, P. (author), Summers, Tyler H. (author)The linear quadratic regulator (LQR) problem has reemerged as an important theoretical benchmark for reinforcement learning-based control of complex dynamical systems with continuous state and action spaces. In contrast with nearly all recent work in this area, we consider multiplicative noise models, which are increasingly relevant because...journal article 2021
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Sun, P. (author), He, Z. (author), Kooij, Robert (author), Van Mieghem, P.F.A. (author)Optical networks are vulnerable to failures due to targeted attacks or large-scale disasters. The recoverability of optical networks refers to the ability of an optical network to return to a desired performance level after suffering topological perturbations such as link failures. This paper proposes a general topological approach and...journal article 2021
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L’Ortye, J. (author), Mitici, M.A. (author), Visser, H.G. (author)At the interface between airport airside and landside operations, the assignment of flights to gates is key to ensure efficient operations and a high quality of service for passengers. We propose a mixed-integer linear program for an integrated flight-to-gate assignment that considers both airside as well as landside constraints on the...journal article 2021
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Zuo, Renwei (author), Lv, Maolong (author), Li, Yinghui (author), Nie, Hongyan (author)This paper presents an adaptive neural control to solve the tracking problem of a class of pure-feedback systems with non-differentiable non-affine functions in the presence of unknown periodically time-varying disturbances. To handle with the design difficulty from non-affine structure of pure-feedback system, a continuous and positive...journal article 2021
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Sun, P. (author), Kooij, Robert (author), Van Mieghem, P.F.A. (author)In this paper, we propose closed-form analytic approximations for the number of controllable nodes in sparse communication networks from the aspect of network controllability, considering link-based random attack, targeted attack, as well as random attack under the protection of critical links. We compare our approximations with simulation...journal article 2021
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Kouw, W.M. (author), Loog, M. (author)Consider a domain-adaptive supervised learning setting, where a classifier learns from labeled data in a source domain and unlabeled data in a target domain to predict the corresponding target labels. If the classifier’s assumption on the relationship between domains (e.g. covariate shift, common subspace, etc.) is valid, then it will usually...journal article 2021
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Devia Pinzon, C.A. (author), Giordano, G. (author)We study dynamic networks described by a directed graph where the nodes are associated with MIMO systems with transfer-function matrix F(s), representing individual dynamic units, and the arcs are associated with MIMO systems with transfer-function matrix G(s), accounting for the dynamic interactions among the units. In the nominal case, we...journal article 2021
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Gravell, Benjamin J. (author), Mohajerin Esfahani, P. (author), Summers, Tyler H. (author)Robust stability and stochastic stability have separately seen intense study in control theory for many decades. In this work we establish relations between these properties for discrete-time systems and employ them for robust control design. Specifically, we examine a multiplicative noise framework which models the inherent uncertainty and...journal article 2021
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Ghiassi, S. (author), Birke, Robert (author), Chen, Lydia Y. (author)Big Data systems allow collecting massive datasets to feed the data hungry deep learning. Labelling these ever-bigger datasets is increasingly challenging and label errors affect even highly curated sets. This makes robustness to label noise a critical property for weakly-supervised classifiers. The related works on resilient deep networks...conference paper 2021
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Cañizares Gaztelu, J.C. (author), Copeland, S.M. (author), Doorn, N. (author)While resilience is a major concept in development, climate adaptation, and related do-mains, many doubts remain about how to interpret this term, its relationship with closely overlap-ping terms, or its normativity. One major view is that, while resilience originally was a descriptive concept denoting some adaptive property of ecosystems,...journal article 2021
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Dhiman, Ashish (author), Sun, P. (author), Kooij, Robert (author)This paper presents machine learning based approximations for the minimum number of driver nodes needed for structural controllability of networks under link-based random and targeted attacks. We compare our approximations with existing analytical approximations and show that our machine learning based approximations significantly outperform...conference paper 2021
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Du, Zhe (author), Negenborn, R.R. (author), Reppa, V. (author)Among the promising application of autonomous surface vessels (ASVs) is the utilization of multiple autonomous tugs for manipulating a floating object such as an oil platform, a broken ship, or a ship in port areas. Considering the real conditions and operations of maritime practice, this paper proposes a multi-agent control algorithm to...journal article 2021
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Lingmont, Hidde (author)The advent of machine learning and the availability of big data brought a novel approach for researchers to discover fundamental laws of motion. Computers allow to quickly find underlying physical laws from experimental data, without having in-depth knowledge of the system. Applications are widespread among numerous fields such as physics,...master thesis 2020
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Terun, Kaan (author)The International Maritime Organization forecasts that greenhouse gasses produced by ships will increase rapidly in the near future, unless precautions are taken now. This will require all ships to reduce their emissions, especially container vessels which are producing the most emissions. One way of reducing emissions, with existing technology,...master thesis 2020
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Khalik, Alan (author)With data-driven control it is possible to design a controller for systems with non-parametric models. The intermediate step of modelling or identification of the system is not necessary, because a non-parametric model of the system can be obtained by means of experimental data. In the linear time-invariant (LTI) framework, these non-parametric...master thesis 2020
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Werner, Oliver (author)In clinical practice, as a first approximation, the severity of an abnormality on an image is often determined by measuring its volume. Researchers often first segment this abnormality with a neural network trained by voxel-wise labels and thereafter extract the volume. Instead of this indirect two steps approach, we propose to train neural...master thesis 2020
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Barad, Kuldeep (author)Autonomous vision-based navigation is a crucial element for space applications involving a potentially uncooperative target, such as proximity operations for on-orbit servicing or active debris removal. Due to low mass and power characteristics, monocular vision sensors are an attractive choice for onboard vision-based navigation systems. This...master thesis 2020
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Ling, Chenyang (author)Nowadays, video surveillance and motion detection system are widely used in various environments. With the relatively low-price cameras and highly automated monitoring system, video and image analysis on road, highway and skies becomes realistic. The key process in the analysis is to separate the useful information such as moving foreground...master thesis 2020
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Zult, M.J. (author)In 2018, there were more than 200 million reported cases of malaria worldwide, most of which were in Africa. Adequate diagnostics are required to properly treat the disease. According to the WHO, microscopic examination of a blood smear is the Gold Standard of malaria diagnosis. Currently, it is a labor-intensive process requiring trained...master thesis 2020