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Theodoropoulou, P. (author), Brembilla, E. (author), Schipper, H.R. (author), Louter, P.C. (author)
Smart buildings are equipped with automated control systems that provide a comfortable indoor environment, aiming simultaneously at energy savings. Control systems for shading devices applied in practice are mostly driven by a rule-based approach, that is usually tested under simplified conditions and hence its effectiveness in complex real-life...
journal article 2024
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Wan, Z. (author), Xu, Y. (author), Chang, Z. (author), Liang, M. (author), Šavija, B. (author)
Vascular self-healing concrete (SHC) has great potential to mitigate the environmental impact of the construction industry by increasing the durability of structures. Designing concrete with high initial mechanical properties by searching a specific arrangement of vascular structure is of great importance. Herein, an automatic optimization...
journal article 2024
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Xu, Fuqiang (author), Song, Xianzhi (author), Li, Shuang (author), Shi, Yu (author), Song, G. (author), Lv, Zehao (author), Yi, Junlin (author)
In the long-term mining of geothermal resources in hot dry rock (HDR), the change of thermal stress and pore pressure will increase fracture conductivity evolution, further improving production performance. The optimization and decision-making of the development scheme based on the impact of damage from fractures have yet to be reported. The...
journal article 2024
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Mr. Wang, Q. (author), Xu, Tangjie (author), von Terzi, D.A. (author), Xia, Wei (author), Wang, Zhenhai (author), Zhang, Haoran (author)
In existing wind farms, the overall power output can be increased through yaw control. However, the cooperative control of start/stop, yaw and turbines positions is often overlooked, leading to wake superposition to downstream wind turbines and suboptimal power output. This paper proposes a synchronized optimized method that considers start...
journal article 2024
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Boskos, D. (author), Cortes, Jorge (author), Martinez, Sonia (author)
This paper builds Wasserstein ambiguity sets for the unknown probability distribution of dynamic random variables leveraging noisy partial-state observations. The constructed ambiguity sets contain the true distribution of the data with quantifiable probability and can be exploited to formulate robust stochastic optimization problems with out...
journal article 2024
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Wilde, N. (author), Alonso-Mora, J. (author)
We study the problem of finding statistically distinct plans for stochastic task assignment problems such as online multi-robot pickup and delivery (MRPD) when facing multiple competing objectives. In many real-world settings robot fleets do not only need to fulfil delivery requests, but also have to consider auxiliary objectives such as...
journal article 2024
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Mahajan, N. (author), Hegyi, A. (author), Hoogendoorn, S.P. (author), van Arem, B. (author)
Drivers initiate a discretionary lane change when they perceive an anticipated improvement in their own driving condition from moving to another lane. However, such a lane change can slow down other vehicles on the target lane, and even worse initiate a disturbance. In this work, we argue that the blocking effect triggered by individual lane...
journal article 2024
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Song, Yanjie (author), Ou, Junwei (author), Pedrycz, Witold (author), Suganthan, Ponnuthurai Nagaratnam (author), Wang, X. (author), Xing, Lining (author), Zhang, Yue (author)
Multitype satellite observation, including optical observation satellites, synthetic aperture radar (SAR) satellites, and electromagnetic satellites, has become an important direction in integrated satellite applications due to its ability to cope with various complex situations. In the multitype satellite observation scheduling problem ...
journal article 2024
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Tang, Zhuorui (author), Zhao, Shibo (author), Li, Jian (author), Zuo, Yuanhui (author), Tian, Jing (author), Tang, Hongyu (author), Fan, J. (author), Zhang, Kouchi (author)
This work addresses a novel technique for selecting the best process parameters for the 4H–SiC epitaxial layer in a horizontal hot-wall chemical vapor reactor using a transient multi-physical (thermal-fluid-chemical) simulation model and combined with a machine-learning model. An experiment was performed to validate the feasibility of the...
journal article 2024
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Bai, Chengchao (author), Yan, Peng (author), Piao, Haiyin (author), Pan, W. (author), Guo, Jifeng (author)
This article explores deep reinforcement learning (DRL) for the flocking control of unmanned aerial vehicle (UAV) swarms. The flocking control policy is trained using a centralized-learning-decentralized-execution (CTDE) paradigm, where a centralized critic network augmented with additional information about the entire UAV swarm is utilized...
journal article 2024
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Yu, Y. (author), De Herdt, Lode (author), Shekhar, A. (author), Chandra Mouli, G.R. (author), Bauer, P. (author)
The rising demand for electric vehicles (EVs) in the face of limited grid capacity encourages the development and implementation of smart charging (SC) algorithms. Experimental validation plays a pivotal role in advancing this field. This article formulates a hierarchical mixed integer programming EV SC algorithm designed for low voltage (LV)...
journal article 2024
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Daoutidis, Prodromos (author), Lee, Jay H. (author), Rangarajan, Srinivas (author), Chiang, Leo (author), Gopaluni, Bhushan (author), Schweidtmann, A.M. (author), Harjunkoski, Iiro (author), Mercangöz, Mehmet (author), Mesbah, Ali (author)
This “white paper” is a concise perspective of the potential of machine learning in the process systems engineering (PSE) domain, based on a session during FIPSE 5, held in Crete, Greece, June 27–29, 2022. The session included two invited talks and three short contributed presentations followed by extensive discussions. This paper does not...
journal article 2024
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Tao, W. (author), Zhu, Man (author), Chen, Shengyong (author), Cheng, Xu (author), Wen, Yuanqiao (author), Zhang, Weidong (author), Negenborn, R.R. (author), Pang, Y. (author)
Vessels sailing in a single platoon could reduce resistance from the perspective of the whole platoon and the individual vessel, and contribute to improving energy benefits. Moreover, transportation energy costs and traffic efficiency are essential indicators for measuring waterborne transportation systems. We attempt to minimize...
journal article 2023
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Spahn, M. (author), Wisse, M. (author), Alonso-Mora, J. (author)
Optimization fabrics are a geometric approach to real-time local motion generation, where motions are designed by the composition of several differential equations that exhibit a desired motion behavior. We generalize this framework to dynamic scenarios and nonholonomic robots and prove that fundamental properties can be conserved. We show...
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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