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Foffano, Daniele (author)Model-Based Reinforcement Learning (MBRL) algorithms solve sequential decision-making problems, usually formalised as Markov Decision Processes, using a model of the environment dynamics to compute the optimal policy. When dealing with complex environments, the environment dynamics are frequently approximated with function approximators (such as...master thesis 2022
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Sun, P. (author)Network robustness describes a network's ability to provide and maintain an acceptable level of service in the face of failures and challenges to normal operation. Unfortunately, failures of networks, such as power outages in power systems, congestions in transportation networks, failures of routers on the Internet, happen frequently in our...doctoral thesis 2022
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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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Zarifsanayei, Amin Reza (author), Antolínez, José A. Á. (author), Etemad-Shahidi, Amir (author), Cartwright, Nick (author), Strauss, Darrell (author), Lemos, Gil (author)This study quantifies the uncertainties in the projected changes in potential longshore sediment transport (LST) rates along a non-straight coastline. Four main sources of uncertainty, including the choice of emission scenarios, Global Circulation Model-driven offshore wave datasets (GCM-Ws), LST models, and their non-linear interactions were...journal article 2022
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Bloemers, Tom (author), Oomen, T.A.E. (author), Toth, Roland (author)The linear parameter-varying framework enables systematic control design approaches to meet increasing performance requirements and complexity of systems. The aim of this paper is to develop local frequency response data-based analysis and synthesis conditions for multiple-input multiple-output linear parameter-varying systems to facilitate...journal article 2022
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Pirani, Mohammad (author), Baldi, S. (author), Johansson, Karl Henrik (author)This paper presents a comprehensive study on the impact of information flow topologies on the resilience of distributed algorithms that are widely used for estimation and control in vehicle platoons. In the state of the art, the influence of information flow topology on both internal and string stability of vehicle platoons has been well...journal article 2022
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Xu, Peng (author), Susilo, Willy (author), Wang, Wei (author), Chen, Tianyang (author), Wu, Qianhong (author), Liang, K. (author), Jin, Hai (author)Dynamic searchable symmetric encryption (DSSE) has been widely recognized as a promising technique to delegate update and search queries over an outsourced database to an untrusted server while guaranteeing the privacy of data. Many efforts on DSSE have been devoted to obtaining a good tradeoff between security and performance. However, it...journal article 2022
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Xing, Xuejun (author), Guo, Jianwei (author), Nan, L. (author), Gu, Qingyi (author), Zhang, Xiaopeng (author), Yan, Dong Ming (author)The point pair feature (PPF) is widely used in industrial applications for estimating 6D poses of known objects from unrecognized point clouds. The key to the success of PPF matching is to establish correct 3D correspondences between the object and the scene, i.e., finding as many valid similar point pairs as possible. Thus, a set of...journal article 2022
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Cohen, Izack (author), Postek, K.S. (author), Shtern, Shimrit (author)Real-life parallel machine scheduling problems can be characterized by: (i) limited information about the exact task duration at the scheduling time, and (ii) an opportunity to reschedule the remaining tasks each time a task processing is completed and a machine becomes idle. Robust optimization is the natural methodology to cope with the first...journal article 2022
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Yao, Y. (author), Huang, Yunkai (author), Peng, Fei (author), Dong, J. (author), Zhu, Zichong (author)This article proposes a discrete-time dynamic-decoupled current controller for an LCL-equipped high-speed permanent magnet synchronous machine with only the motor currents measured. The controller is designed in the synchronous coordinate based on a complex z-domain transfer function. The main contribution of the proposed current controller...journal article 2022
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Soghrati Ghasbeh, Sogand (author), Pourmohammadzia, N. (author), Rabbani, Masoud (author)Purpose: This paper aims to address a location-distribution-routing problem for distributing relief commodities during a disaster under uncertainty by creating a multi-stage model that can consider information updates during the disaster. This model aims to create a relief network that chooses distribution centers with the highest value while...journal article 2022
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Tajdari, F. (author)Aiming at a more efficient and accurate performance of parallel manipulators in the existence of complex kinematics and dynamics, a robust generalizable methodology is proposed here for an integrated 6-DOF Stewart platform with rotary time-delayed actuators torque control. The suggested method employs a time-delay linear–quadratic integral...journal article 2022
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Scheffers, E.L. (author), de Vos, P. (author)Reliability and survivability play a key role in the ship operation and ship design process of navy ships, but increasingly also of complex commercial vessels. These requirements prove relevant for different elements within the ship design scope, including the distribution system design of data, energy and fluid (water, fuel, oil, etc.). In...conference paper 2022
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Congeduti, E. (author), Oliehoek, F.A. (author)Complex real-world systems pose a significant challenge to decision making: an agent needs to explore a large environment, deal with incomplete or noisy information, generalize the experience and learn from feedback to act optimally. These processes demand vast representation capacity, thus putting a burden on the agent’s limited computational...conference paper 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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Zhang, Xinglong (author), Pan, W. (author), Scattolini, Riccardo (author), Yu, Shuyou (author), Xu, Xin (author)Koopman operators are of infinite dimension and capture the characteristics of nonlinear dynamics in a lifted global linear manner. The finite data-driven approximation of Koopman operators results in a class of linear predictors, useful for formulating linear model predictive control (MPC) of nonlinear dynamical systems with reduced...journal article 2022
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Avet, François (author), Li, Xuerun (author), Ben Haha, Mohsen (author), Bernal, Susan A. (author), Bishnoi, Shashank (author), Cizer, Özlem (author), Cyr, Martin (author), Ye, G. (author), Zhang, Shizhe (author)The results of phase 1 of an interlaboratory test, coordinated by the RILEM TC 267-TRM “Tests for Reactivity of Supplementary Cementitious Materials” showed that the R<sup>3</sup> (rapid, relevant, reliable) test method, by measurement of heat release or bound water, provided the most reliable and relevant determination of the chemical...journal article 2022
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Zheng, Zixuan (author), Zheng, Feifei (author), Bi, Weiwei (author), Du, Jiawen (author), Duan, Huan-Feng (author), Savić, Dragan (author), Kapelan, Z. (author)An early contamination warning system with deployed water quality sensors is often used to enhance the safety of a water distribution system (WDS). While algorithms have been developed to select an optimal water quality sensor placement strategy (WQSPS) for WDSs, many of them do not account for the influences caused by future uncertainties,...journal article 2022
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Ciullo, A. (author), Domeneghetti, A. (author), Kwakkel, J.H. (author), De Bruijn, K. M. (author), Klijn, F. (author), Castellarin, A. (author)Robust Decision Making (RDM) is an established framework for decision making under deep uncertainty. RDM relies on the idea of scenario neutrality, namely that decision robustness is not affected by how scenarios are generated if these are uniformly distributed and span a sufficiently large range of future states of the world. Several authors...journal article 2022
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Lopez Restrepo, S. (author), Yarce Botero, A. (author), Pinel, Nicolás (author), Quintero, O. L. (author), Segers, Arjo (author), Heemink, A.W. (author)This work proposes a robust and non-Gaussian version of the shrinkage-based knowledge-aided EnKF implementation called Ensemble Time Local H<sub>∞</sub> Filter Knowledge-Aided (EnTLHF-KA). The EnTLHF-KA requires a target covariance matrix to integrate previously obtained information and knowledge directly into the data assimilation (DA). The...journal article 2022