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Polat, S. (author), Kortlever, R. (author), Eral, H.B. (author)
Electrochemical carbon dioxide (CO<sub>2</sub>) reduction is a promising route to convert intermittent renewable energy into fuels and valuable chemical products. Separation of CO<sub>2</sub> reduction products by ion-selective electrochemical technology may play a decisive role in the pursuit of commercially viable CO<sub>2</sub> reduction...
journal article 2023
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Bai, X. (author), Fielbaum, Andres (author), Kronmüller, M. (author), Knödler, L. (author), Alonso-Mora, J. (author)
This paper studies the multi-robot task assignment problem in which a fleet of dispersed robots needs to efficiently transport a set of dynamically appearing packages from their initial locations to corresponding destinations within prescribed time-windows. Each robot can carry multiple packages simultaneously within its capacity. Given a...
journal article 2023
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de Araujo Passos, L.A. (author), van den Engel, P.J.W. (author), Baldi, S. (author), De Schutter, B.H.K. (author)
Satisfying thermal comfort in indoor spaces is still a challenge in terms of energy saving, and several HVAC (Heating, Ventilation, and Air-Conditioning) systems have been proposed for this purpose. This paper conducts an analysis to evaluate and optimize the long-term operation of a novel HVAC system installed at The Green Village, a living...
journal article 2023
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Dong, J. (author), Sharifi K., Arman (author), Mohajerin Esfahani, P. (author)
We study a diagnosis scheme to reliably detect the active mode of discrete-time, switched affine systems in the presence of measurement noise and asynchronous switching. The proposed scheme consists of two parts: (i) the construction of a bank of filters, and (ii) the introduction of a residual/threshold-based diagnosis rule. We develop an...
journal article 2023
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Khosravi, M. (author), Smith, R. S. (author)
In this article, we consider the problem of system identification when side-information is available on the steady-state gain (SSG) of the system. We formulate a general nonparametric identification method as an infinite-dimensional constrained convex program over the reproducing kernel Hilbert space (RKHS) of stable impulse responses. The...
journal article 2023
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Li, N.L. (author), Okur, Ö. (author)
Energy communities play an important role in the energy transition to future clean and sustainable energy. The economic feasibility of an energy community is largely affected by its investment options: either a third party or households themselves can invest in distributed energy resources. Another common problem for energy communities is cost...
journal article 2023
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Khosravi, M. (author), Smith, Roy S. (author)
This paper discusses the problem of system identification when frequency domain side-information is available. We mainly consider the case where the side-information is provided as the H<sub>∞</sub>-norm of the system being bounded by a given scalar. This framework allows considering different forms of frequency domain side-information, such...
journal article 2023
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Ayala-Romero, Jose A. (author), Garcia-Saavedra, Andres (author), Costa-Perez, Xavier (author), Iosifidis, G. (author)
Future mobile networks need to support intelligent services which collect and process data streams at the network edge, so as to offer real-time and accurate inferences to users. However, the widespread deployment of these services is hindered by the unprecedented energy cost they induce to the network, and by the difficulties in optimizing...
journal article 2023
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Bhadra, A. (author), Haverkort, J.W. (author)
Microfluidic fuel cells, electrolyzers, and redox flow batteries utilize laminar flow channels to provide reactants, remove products and avoid their crossover. These devices often also employ porous flow-through electrodes as they offer a high surface area for the reaction and excellent mass transfer. The geometrical features of these...
journal article 2023
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Benenati, E. (author), Ananduta, W. (author), Grammatico, S. (author)
A fundamental open problem in monotone game theory is the computation of a specific generalized Nash equilibrium (GNE) among all the available ones, e.g. the optimal equilibrium with respect to a system-level objective. The existing GNE seeking algorithms have in fact convergence guarantees toward an arbitrary, possibly inefficient,...
journal article 2023
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Coppola, R. (author), Peruffo, A. (author), Mazo, M. (author)
We introduce a novel approach for the construction of symbolic abstractions - simpler, finite-state models - which mimic the behaviour of a system of interest, and are commonly utilized to verify complex logic specifications. Such abstractions require an exhaustive knowledge of the concrete model, which can be difficult to obtain in real...
journal article 2023
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Liu, Xinjie (author), Peters, L. (author), Alonso-Mora, J. (author)
Many autonomous agents, such as intelligent vehicles, are inherently required to interact with one another. Game theory provides a natural mathematical tool for robot motion planning in such interactive settings. However, tractable algorithms for such problems usually rely on a strong assumption, namely that the objectives of all players in...
journal article 2023
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Abdellatif, Alaa Awad (author), Mhaisen, N. (author), Mohamed, Amr (author), Erbad, Aiman (author), Guizani, Mohsen (author)
The rise of chronic disease patients and the pandemic pose immediate threats to healthcare expenditure and mortality rates. This calls for transforming healthcare systems away from one-on-one patient treatment into intelligent health systems, leveraging the recent advances of Internet of Things and smart sensors. Meanwhile, reinforcement...
journal article 2023
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Bagemihl, I. (author), Cammann, Lucas (author), Pérez-Fortes, Mar (author), van Steijn, V. (author), van Ommen, J.R. (author)
The production of base chemicals by electrochemical conversion of captured CO<sub>2</sub> has the potential to close the carbon cycle, thereby contributing to a future energy transition. With the feasibility of low-temperature electrochemical CO<sub>2</sub> conversion demonstrated at lab scale, research is shifting toward optimizing...
journal article 2023
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Rizki, Z. (author), Ravesloot, Richard (author), van Beckhoven, Ruud (author), Ottens, M. (author)
The ultrafiltration/diafiltration (UF/DF) process is a crucial step in the canola protein isolation process from rapeseed meal. The process involves using a multi-stage membrane system to separate components of the mixture. As diafiltration dilutes the feed stream in the ultrafiltration system, a large amount of diafiltration water is...
journal article 2023
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Li, H. (author), Lekić, A. (author), Li, Shan (author), Jiang, Dongrong (author), Guo, Qiang (author), Zhou, Lin (author)
The distribution network (DN) reconfiguration is a well-known optimal power flow (OPF) problem. However, with the transition of DN from 'passive' to 'active', new technical challenges arise in DN reconfiguration. This article addresses two key issues in this regard. Firstly, the integration of local renewable generation (LRG) introduces...
journal article 2023
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Wang, P. (author), Bešinović, Nikola (author), Goverde, R.M.P. (author), Corman, F. (author)
Employing regenerative braking in trains contributes to reducing the amount of energy used, especially when applied to commuter trains and to those used on very dense suburban networks. This paper presents a method to fine-tune the periodic timetable to improve the utilization of regenerative energy and to shave power peaks while maintaining...
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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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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Li, Guoqiang (author), Gorges, Daniel (author), Wang, M. (author)
In this paper a learning-based optimization method for online gear shift and velocity control is presented to reduce the fuel consumption and improve the driving comfort in a car-following process. The continuous traction force and the discrete gear shift are optimized jointly to improve both the powertrain operation and the longitudinal...
journal article 2022
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