Searched for: subject%253A%2522Dynamic%2522
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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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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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Ibrahim, Yara (author)
Despite being a critical aspect in improving the building stock’s environmental performance and achieving the global environmental goals, the retrofit of traditional historic buildings is hindered by a lack of comprehensive guidelines tailored to their complex building physics and heritage preservation requirements. The conventional retrofit...
master thesis 2023
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Ibañez Jimenez, Isabel (author)
This thesis aims to calculate optimal trajectories from a user-defined Earth-bounded orbit to a user-defined Moon-bounded orbit using a bi-impulse direct transfer ultimately under the influence of a full dynamical model with perturbations, hence reflecting the actual physical environment.<br/><br/>Two tools are developed to achieve this goal....
master thesis 2023
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Gupta, Mayank (author)
Metal additive manufacturing has enabled great diversity and design freedom in heat exchanger design. However, these benefits cannot be adequately realised without optimizing its ancillary components as well, specifically the inlet and outlet manifolds. Optimizing the manifolds can significantly improve the flow distribution inside the heat...
master thesis 2023
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Fox, Feline (author)
As offshore wind turbines are moving further from the coast, floating wind turbines are being considered. These structures need to be able to endure high dynamic loads while remaining as still as possible in order to minimize internal stresses and maximize the efficiency of the turbine. To find ways to combat large responses, the effectiveness...
master thesis 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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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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Vitanov, George (author)
This thesis discusses the chemical composition (basicity) control problem of HIsarna, an experimental iron furnace which operates with 30% less CO2 emissions than its traditional blast furnace counterparts. The control challenge is keeping the basicity of the plant in a narrow operating region. A mass balance model of the plant was constructed -...
master thesis 2022
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Gambetta, Luis (author)
In the airline industry revenue and inventory is managed tightly, with the intent to sell each seat at the right price to the right customer at the right time. This does not always go to plan and seats remain unsold, or demand can be greater than what is available. The question then becomes how can capacity and revenue be managed more...
master thesis 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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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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Sarafraz, Mohammad Saeed (author), Proskurnikov, Anton V. (author), Tavazoei, Mohammad Saleh (author), Mohajerin Esfahani, P. (author)
In this article, we investigate the problem of practical output regulation, i.e., to design a controller that brings the system output in the vicinity of a desired target value while keeping the other variables bounded. We consider uncertain systems that are possibly nonlinear and the uncertainty of their linear parts is modeled element wise...
journal article 2022
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Wu, Jiansong (author), Zhang, Linlin (author), Bai, Yiping (author), Reniers, G.L.L.M.E. (author)
In recent years, frequent large-scale power grid accidents have caused serious economic losses and bad social impact, which has drawn great attention from power grid enterprises. As one of the key elements of production, safety investment plays an important role in improving the safety level and reducing accident loss. In this paper, System...
journal article 2022
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Blanchini, Franco (author), Devia Pinzon, C.A. (author), Giordano, G. (author), Pesenti, Raffaele (author), Rosset, Francesca (author)
We proposed network-decentralized control strategies, in which each actuator can exclusively rely on local information, without knowing the network topology and the external input, ensuring that the flow asymptotically converges to the optimal one with respect to the p -norm. For 1 &lt; p &lt; ∞ , the flow converges to a unique constant...
journal article 2022
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Kon, Johan (author), Bruijnen, Dennis (author), van de Wijdeven, Jeroen (author), Heertjes, Marcel (author), Oomen, T.A.E. (author)
Unknown nonlinear dynamics often limit the tracking performance of feedforward control. The aim of this paper is to develop a feedforward control framework that can compensate these unknown nonlinear dynamics using universal function approximators. The feedforward controller is parametrized as a parallel combination of a physics-based model and...
conference paper 2022
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Atasoy, B. (author), Azevedo, Carlos Lima (author), Akkinepally, Arun Prakash (author), Seshadri, Ravi (author), Zhao, Fang (author), Abou-Zeid, Maya (author), Ben-Akiva, Moshe E. (author)
In this chapter, we present a methodological approach for Smart Mobility that integrates three key features: prediction, optimization, and personalization. They are integrated in such a way that when a travel menu is offered, predicted conditions are considered in the attributes of alternatives and optimized system-level policies are maintained....
book chapter 2020
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Rubino, A. (author)
The need to meet the increasingly demanding sustainability goals entails remarkable new challenges for technical innovation. Due to the crucial role of turbomachinery in present and future energy scenarios, advancements in turbomachinery performance by means of design methods represent a fundamental step towards global sustainable development....
doctoral thesis 2019
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den Hartog, Daniel (author)
Self-driving vehicles are the future of automotive engineering. Systems that take over control from the driver are developed to be able to interact with the conditions of the road and other obstacles. To develop these systems, developers use vehicle models to simulate the behaviour of the moving vehicle. The systems developed using these models...
master thesis 2018
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Koek, Bart (author)
The highly competitive nature of Formula one makes every team eager to find areas of improvement on their cars. In the case of Scuderia Toro Rosso, it was found that there is a gap to improve performance while driving on kerb stones. Analysis of competitors showed that they can take wider driving lines with more speed. In order to improve this...
master thesis 2018
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