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Van De Poel, I.R. (author)
journal article 2007
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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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Jamshidi, Helia (author), Correia, Gonçalo (author), van Essen, J.T. (author), Nökel, Klaus (author)
Short driving range, limited chargers, and long charging times challenge the profitability of electric taxi operations. In this paper, a charging algorithm is developed to accompany a taxi service with online trip requests, which uses a private charging infrastructure for both slow and fast charging. The vehicle charging curves are assumed to be...
journal article 2021
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Zomer, Jordi (author), Bešinović, Nikola (author), de Weerdt, M.M. (author), Goverde, R.M.P. (author)
Due to increasing railway use, the capacity at railway yards and maintenance locations is becoming limiting to accommodate existing rolling stock. To reduce capacity issues at maintenance locations during nighttime, railway undertakings consider performing more daytime maintenance, but the choice at which locations personnel needs to be...
journal article 2021
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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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Ananduta, W. (author), Nedic, Angelia (author), Ocampo-Martinez, Carlos (author)
A multi-agent optimization problem motivated by the management of energy systems is discussed. The associated cost function is separable and convex although not necessarily strongly convex and there exist edge-based coupling equality constraints. In this regard, we propose a distributed algorithm based on solving the dual of the augmented...
journal article 2021
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Nogal Macho, M. (author), Nogal, A. (author)
Engineering models are becoming increasingly complex, involving a larger number of variables. As a result, engineers struggle to deeply understand the models and therefore validate and properly use them. Sensitivity analyses (SA) are usually conducted to help with this task. Nonetheless, the knowledge and computational efforts required to...
journal article 2021
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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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Hong, Huifen (author), Baldi, S. (author), Yu, Wenwu (author), Yu, Xinghuo (author)
This article investigates the distributed time-varying optimization problem for second-order multiagent systems (MASs) under limited interaction ranges. The goal is to seek the minimum of the sum of local time-varying cost functions (CFs), where each CF is only available to the corresponding agent. Limited communication range refers to the...
journal article 2022
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Çubukçuoglu, C. (author), Ekici, B. (author), Tasgetiren, M. Fatih (author), Sariyildiz, I.S. (author)
Most of the architectural design problems are basically real-parameter optimization problems. So, any type of evolutionary and swarm algorithms can be used in this field. However, there is a little attention on using optimization methods within the computer aided design (CAD) programs. In this paper, we present Optimus, which is a new...
journal article 2019
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Raju, Narayana (author), Arkatkar, Shriniwas (author), Easa, Said (author), Joshi, Gaurang (author)
The paper presents the performance analysis of a well-designed truck parking terminal, which is planned for regulating truck traffic over a commercial port. The designed truck parking terminal is modeled using microscopic traffic simulation, which is validated based on the movement of vehicles to the parking bays. After validation, various...
journal article 2022
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Junge, Kai (author), Obayashi, Nana (author), Stella, F. (author), Della Santina, C. (author), Hughes, Josie (author)
Biology provides many examples of how body adaption can be used to achieve a change in functionality. The feather star, an underwater crinoid that uses feather arms to locomote and feed, is one such system; it releases its arms to distract prey and vary its maneuverability to help escape predators. Using this crinoid as inspiration, we develop a...
journal article 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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Keyvan-Ekbatani, Mehdi (author), Carlson, Rodrigo Castelan (author), Knoop, V.L. (author), Papageorgiou, Markos (author)
Perimeter traffic flow control based on the macroscopic or network fundamental diagram provides the opportunity of operating an urban traffic network at its capacity. Because perimeter control operates on the basis of restricting inflow via reduced green times at selected entry (gated) links, vehicles on those links may be subject to queuing and...
journal article 2021
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Scarabaggio, P. (author), Grammatico, S. (author), Carli, Raffaele (author), Dotoli, Mariagrazia (author)
In this article, we propose a distributed demand-side management (DSM) approach for smart grids taking into account uncertainty in wind power forecasting. The smart grid model comprehends traditional users as well as active users (prosumers). Through a rolling-horizon approach, prosumers participate in a DSM program, aiming at minimizing...
journal article 2022
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Ananduta, W. (author), Ocampo-Martinez, Carlos (author), Nedic, Angelia (author)
In this paper, we propose a distributed model predictive control (MPC) scheme for economic dispatch of energy systems with a large number of active components. The scheme uses a distributed optimization algorithm that works over random communication networks and asynchronous updates, implying the resiliency of the proposed scheme with respect...
journal article 2021
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Qian, Yichen (author), Hou, F. (author), Fan, J. (author), Lv, Quanya (author), Fan, X. (author), Zhang, Kouchi (author)
A new panel-level silicon carbide (SiC) metal oxide semiconductor field effect transistor (MOSFET) power module was developed by using the fan-out and embedded chip technologies. To achieve the more effective thermal management and higher reliability under thermal cycling, a new optimization method called Ant colony optimization-back...
journal article 2021
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Cavone, Graziana (author), van den Boom, A.J.J. (author), Blenkers, Lex (author), Dotoli, Mariagrazia (author), Seatzu, Carla (author), De Schutter, B.H.K. (author)
Railways are a well-recognized sustainable transportation mode that helps to satisfy the continuously growing mobility demand. However, the management of railway traffic in large-scale networks is a challenging task, especially when both a major disruption and various disturbances occur simultaneously. We propose an automatic rescheduling...
journal article 2022
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Armenta, Carlos (author), Delprat, Sebastien (author), Negenborn, R.R. (author), Haseltalab, A. (author), Lauber, Jimmy (author), Dambrine, Michel (author)
Pontryagin’s Minimum Principle is a way of solving hybrid powertrain optimal energy management. This paper presents an improvement of a classical implementation. The core of this improvement consists in relaxing the tolerance on some intermediate steps of the algorithm in order to reduce the number of iterations and thereby reducing the...
journal article 2021
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