Littérature scientifique sur le sujet « Scalable modeling and control »
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Articles de revues sur le sujet "Scalable modeling and control"
Voice, Thomas. « STOCHASTICALLY SCALABLE FLOW CONTROL ». Probability in the Engineering and Informational Sciences 23, no 4 (14 juillet 2009) : 675–98. http://dx.doi.org/10.1017/s0269964809990076.
Texte intégralZengin, Ahmet. « Modeling discrete event scalable network systems ». Information Sciences 181, no 5 (mars 2011) : 1028–43. http://dx.doi.org/10.1016/j.ins.2010.10.023.
Texte intégralChernyi, Sergei G., Aleksei V. Vyngra et Bogdan P. Novak. « Physical modeling of an automated ship’s list control system ». Journal of Intelligent & ; Fuzzy Systems 39, no 6 (4 décembre 2020) : 8399–408. http://dx.doi.org/10.3233/jifs-189158.
Texte intégralKim, Byungju, Dongha Lee, Jinoh Oh et Hwanjo Yu. « Scalable disk-based topic modeling for memory limited devices ». Information Sciences 516 (avril 2020) : 353–69. http://dx.doi.org/10.1016/j.ins.2019.12.058.
Texte intégralYin, Hang, Anastasia Varava et Danica Kragic. « Modeling, learning, perception, and control methods for deformable object manipulation ». Science Robotics 6, no 54 (26 mai 2021) : eabd8803. http://dx.doi.org/10.1126/scirobotics.abd8803.
Texte intégralGómez, Abel, Xabier Mendialdua, Konstantinos Barmpis, Gábor Bergmann, Jordi Cabot, Xabier de Carlos, Csaba Debreceni, Antonio Garmendia, Dimitrios S. Kolovos et Juan de Lara. « Scalable modeling technologies in the wild : an experience report on wind turbines control applications development ». Software and Systems Modeling 19, no 5 (22 janvier 2020) : 1229–61. http://dx.doi.org/10.1007/s10270-020-00776-8.
Texte intégralRocha, André M., Pedro Casau et Rita Cunha. « A Control Algorithm for Early Wildfire Detection Using Aerial Sensor Networks : Modeling and Simulation ». Drones 6, no 2 (11 février 2022) : 44. http://dx.doi.org/10.3390/drones6020044.
Texte intégralVermulst, Bas J. D., Jorge L. Duarte, Elena A. Lomonova et Korneel G. E. Wijnands. « Scalable multi‐port active‐bridge converters : modelling and optimised control ». IET Power Electronics 10, no 1 (janvier 2017) : 80–91. http://dx.doi.org/10.1049/iet-pel.2016.0191.
Texte intégralYang, Jingyu, Wen Shi, Huanjing Yue, Kun Li, Jian Ma et Chunping Hou. « Spatiotemporally scalable matrix recovery for background modeling and moving object detection ». Signal Processing 168 (mars 2020) : 107362. http://dx.doi.org/10.1016/j.sigpro.2019.107362.
Texte intégralWydrowski, B., L. L. H. Andrew et M. Zukerman. « MaxNet : a congestion control architecture for scalable networks ». IEEE Communications Letters 7, no 10 (octobre 2003) : 511–13. http://dx.doi.org/10.1109/lcomm.2003.818888.
Texte intégralThèses sur le sujet "Scalable modeling and control"
Jordan, Philip [Verfasser]. « Scalable Modelling of Aircraft Environmental Control Systems / Philip Jordan ». München : Verlag Dr. Hut, 2019. http://d-nb.info/118151441X/34.
Texte intégralKumar, Vibhore. « Enabling scalable self-management for enterprise-scale systems ». Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/24788.
Texte intégralCommittee Chair: Schwan, Karsten; Committee Member: Cooper, Brian F.; Committee Member: Feamster, Nick; Committee Member: Liu, Ling; Committee Member: Sahai, Akhil.
Chuku, Ejike E. « Security and Performance Engineering of Scalable Cognitive Radio Networks. Sensing, Performance and Security Modelling and Analysis of ’Optimal’ Trade-offs for Detection of Attacks and Congestion Control in Scalable Cognitive Radio Networks ». Thesis, University of Bradford, 2019. http://hdl.handle.net/10454/18448.
Texte intégralMay, Brian 1975. « Scalable access control ». Monash University, School of Computer Science and Software, 2001. http://arrow.monash.edu.au/hdl/1959.1/8043.
Texte intégralAroua, Ayoub. « Mise à l'échelle des entraînements électromécaniques pour la conception au niveau système dans les premières phases de développement des véhicules électriques ». Electronic Thesis or Diss., Université de Lille (2022-....), 2023. http://www.theses.fr/2023ULILN042.
Texte intégralThe automotive industry is required to accelerate the development and deployment of electrified vehicles at a faster pace than ever, to align the transportation sector with the climate goals. Reducing the development time of electric vehicles becomes an urgent priority. On the other hand, the industry is challenged by the increasing complexity and large design space of the emerging electrified powertrains. The existing approaches to address component design, such as numerical methods exemplified by finite element method, computational fluid dynamic, etc., are based on a detailed design process. This leads to a long computational burden when trying to incorporate them at system-level. Speeding up the early development phases of electrified vehicles necessitates new methodologies and tools, supporting the exploration of the system-level design space. These methodologies should allow for assessing different sizing choices of electrified powertrains in the early development phases, both efficiently in terms of computational time and with reliable results in terms of energy consumption at system-level. To address this challenge, this Ph.D. thesis aims to develop a scaling methodology for electric axles, allowing system-level investigation of different power-rated electric vehicles. The electric axle considered in this thesis comprises a voltage source inverter, an electric machine, a gearbox, and a control unit. The scaling procedure is aimed at predicting the data of a newly defined design of a given component with different specifications based on a reference design, without redoing time and effort-consuming steps. For this purpose, different derivations of scaling laws of the electric axle components are thoroughly discussed and compared at component-level in terms of power loss scaling. A particular emphasis is placed on examining the linear losses-to-power scaling method, which is widely employed in system-level studies. This is because, this method presents questionable assumptions, and has not been the subject of a comprehensive examination. A key contribution of the presented work is the derivation of power loss scaling laws of gearboxes, which has been identified as a gap in the current literature. This is achieved through an intensive experimental campaign using commercial gearboxes. To incorporate the scaling laws at system-level and study the interaction between the scaled components, the energetic macroscopic representation formalism is employed. The novelty of the proposed method lies in structuring a scalable model and control for a reference electric axle to be used in system-level simulation. The novel organization consists of a reference model and control complemented by two power adaptation elements at the electrical and mechanical sides. These latter elements consider the scaling effects, including the power losses. The methodology is applied for different study cases of battery electric vehicles, ranging from light to heavy-duty vehicles. Particular attention is paid to assessing the impact of the linear power-to-losses scaling method on the energy consumption considering different power scaling factors and driving cycles, as compared to high-fidelity scaling methods
TUCCI, MICHELE. « Scalable control of islanded microgrids ». Doctoral thesis, Università degli studi di Pavia, 2018. http://hdl.handle.net/11571/1214890.
Texte intégralIn the recent years, the increasing penetration of renewable energy sources has motivated a growing interest for microgrids, energy networks composed of interconnected Distributed Generation Units (DGUs) and loads. Microgrids are self-sustained electric systems that can operate either connected to the main grid or detached from it. In this thesis, we focus on the latter case, thus dealing with the so-called Islanded microGrids (ImGs). We propose scalable control design methodologies for both AC and DC ImGs, allowing DGUs and loads to be connected in general topologies and enter/leave the network over time. In order to ensure safe and reliable operations, we mirror the flexibility of ImGs structures in their primary and secondary control layers. Notably, off-line control design hinges on Plug-and-Play (PnP) synthesis, meaning that the computation of individual regulators is complemented by local optimization-based tests for denying dangerous plug-in/out requests. The solutions presented in this work aim to address some of the key challenges arising in control of AC and DC ImGs, while overcoming the limitations of the existing approaches. More precisely, this thesis comprises the following main contributions: (i) the development of decentralized primary control schemes for load-connected networks (i.e. where local loads appear only at the output terminals of each DGU) ensuring voltage stability in DC ImGs, and voltage and frequency stability in AC ImGs. In contrast with the most commonly used control strategies available in the literature, our regulators guarantee offset-free tracking of reference signals. Moreover, the proposed primary local controllers can be designed or updated on-the-fly when DGUs are plugged in/out, and the closed-loop stability of the ImG is always preserved. (ii) Novel approximate network reduction methods for handling totally general interconnections of DGUs and loads in AC ImGs. We study and exploit Kron reduction in order to derive an equivalent load-connected model of the original ImG, and designing stabilizing voltage and frequency regulators, independently of the ImG topology. (iii) Distributed secondary control schemes, built on top of primary layers, for accurate reactive power sharing in AC ImGs, and current sharing and voltage balancing in DC ImGs. In the latter case, we prove that the desired coordinated behaviors are achieved in a stable fashion and we describe how to design secondary regulators in a PnP manner when DGUs are added/removed to/from the network. (iv) Theoretical results are validated through extensive simulations, and some of the proposed design algorithms have been successfully tested on real ImG platforms.
Liu, Xin. « Scalable online simulation for modeling grid dynamics / ». Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2004. http://wwwlib.umi.com/cr/ucsd/fullcit?p3158471.
Texte intégralGramsamer, Ferdinand. « Scalable flow control for interconnection networks / ». [Zürich] : [Institut für Technische Informatik und Kommunikationsnetze TIK, ETH Zürich], 2003. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=15020.
Texte intégralGevros, Panagiotis. « Congestion control mechanisms for scalable bandwidth sharing ». Thesis, University College London (University of London), 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.249696.
Texte intégralRoman, Alexandru Bogdan. « Scalable cross-layer wireless medium access control ». Thesis, University of Cambridge, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.609506.
Texte intégralLivres sur le sujet "Scalable modeling and control"
Pelikan, Martin, Kumara Sastry et Erick CantúPaz, dir. Scalable Optimization via Probabilistic Modeling. Berlin, Heidelberg : Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/978-3-540-34954-9.
Texte intégralChiuso, Alessandro, Stefano Pinzoni et Augusto Ferrante, dir. Modeling, Estimation and Control. Berlin, Heidelberg : Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-73570-0.
Texte intégralIsermann, Rolf. Engine Modeling and Control. Berlin, Heidelberg : Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-39934-3.
Texte intégralBabuška, Robert. Fuzzy Modeling for Control. Dordrecht : Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-011-4868-9.
Texte intégralPiegat, Andrzej. Fuzzy Modeling and Control. Heidelberg : Physica-Verlag HD, 2001. http://dx.doi.org/10.1007/978-3-7908-1824-6.
Texte intégralIIASA, Conference on "Discrete Event Systems" (1987 Sopron Hungary). Modeling and adaptive control. Berlin : Springer-Verlag, 1988.
Trouver le texte intégralEyman, Earl D. Modeling, simulation, and control. St. Paul : West Pub. Co., 1988.
Trouver le texte intégralSpong, Mark W. Robot modeling and control. Hoboken, NJ : John Wiley & Sons, 2006.
Trouver le texte intégralBabuška, Robert. Fuzzy modeling for control. Boston : Kluwer Academic Publishers, 1998.
Trouver le texte intégralBabuška, Robert. Fuzzy modeling for control. New York : Springer, 1998.
Trouver le texte intégralChapitres de livres sur le sujet "Scalable modeling and control"
Gómez, Abel, Xabier Mendialdua, Gábor Bergmann, Jordi Cabot, Csaba Debreceni, Antonio Garmendia, Dimitrios S. Kolovos, Juan de Lara et Salvador Trujillo. « On the Opportunities of Scalable Modeling Technologies : An Experience Report on Wind Turbines Control Applications Development ». Dans Modelling Foundations and Applications, 300–315. Cham : Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61482-3_18.
Texte intégralSpinelli, Stefano. « Optimal Management and Control of Smart Thermal-Energy Grids ». Dans Special Topics in Information Technology, 15–27. Cham : Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-85918-3_2.
Texte intégralMertes, J., M. Glatt, L. Yi, M. Klar, B. Ravani et J. C. Aurich. « Modeling and Implementation of a 5G-Enabled Digital Twin of a Machine Tool Based on Physics Simulation ». Dans Proceedings of the 3rd Conference on Physical Modeling for Virtual Manufacturing Systems and Processes, 90–110. Cham : Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-35779-4_6.
Texte intégralKo, Kwang O., Doug Young Suh, Young Soo Kim et Jin Sang Kim. « Feedback Control Using State Prediction and Channel Modeling Using Lower Layer Information for Scalable Multimedia Streaming Service ». Dans Networking - ICN 2005, 901–8. Berlin, Heidelberg : Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-31956-6_106.
Texte intégralSosnowski, Markus, Johannes Zirngibl, Patrick Sattler et Georg Carle. « DissecTLS : A Scalable Active Scanner for TLS Server Configurations, Capabilities, and TLS Fingerprinting ». Dans Passive and Active Measurement, 110–26. Cham : Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-28486-1_6.
Texte intégralFarina, Marcello, Giancarlo Ferrari-Trecate, Colin Jones, Stefano Riverso et Melanie Zeilinger. « Scalable MPC Design ». Dans Handbook of Model Predictive Control, 259–83. Cham : Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77489-3_12.
Texte intégralJónsson, Björn Þór, Marcel Worring, Jan Zahálka, Stevan Rudinac et Laurent Amsaleg. « Ten Research Questions for Scalable Multimedia Analytics ». Dans MultiMedia Modeling, 290–302. Cham : Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-27674-8_26.
Texte intégralTakahashi, Keichi, Kohei Ichikawa et Gerald M. Pao. « Toward Scalable Empirical Dynamic Modeling ». Dans Sustained Simulation Performance 2022, 61–69. Cham : Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-41073-4_5.
Texte intégralCao, Qian, Dongdong Zhang et Chengyu Sun. « Quality Scalable Video Coding Based on Neural Representation ». Dans MultiMedia Modeling, 396–409. Cham : Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-53305-1_30.
Texte intégralHeinz, Ernst A. « Modeling the “Go Deep” Behaviour ». Dans Scalable Search in Computer Chess, 145–56. Wiesbaden : Vieweg+Teubner Verlag, 2000. http://dx.doi.org/10.1007/978-3-322-90178-1_10.
Texte intégralActes de conférences sur le sujet "Scalable modeling and control"
Shiming Chen et Huajing Fang. « Modeling and Control of Scalable Engineering Swarm ». Dans 2006 6th World Congress on Intelligent Control and Automation. IEEE, 2006. http://dx.doi.org/10.1109/wcica.2006.1712395.
Texte intégralWei, Xi, et Giorgio Rizzoni. « A Scalable Approach for Energy Converter Modeling and Supervisory Control Design ». Dans ASME 2001 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/imece2001/dsc-24541.
Texte intégralSu Sheng. « A scalable agent based load-modeling system ». Dans 6th International Conference on Advances in Power System Control, Operation and Management. Proceedings. APSCOM 2003. IEE, 2003. http://dx.doi.org/10.1049/cp:20030626.
Texte intégralGhaemi, Reza, Aditya Kumar, Pierino Bonanni et Nikita Visnevski. « Scalable Optimal Flexibility Control, modeling and estimation of commercial buildings ». Dans 2020 American Control Conference (ACC). IEEE, 2020. http://dx.doi.org/10.23919/acc45564.2020.9147398.
Texte intégralSirisena, H., et V. Sreeram. « Modeling of scalable TCP for AQM design in high speed networks ». Dans 2006 American Control Conference. IEEE, 2006. http://dx.doi.org/10.1109/acc.2006.1657612.
Texte intégralKerley, Daniel, Edward J. Park et Jennifer Dunn. « Distributed Modeling and Decentralized H∞ Control of a Segmented Telescope Mirror ». Dans ASME 2007 International Mechanical Engineering Congress and Exposition. ASMEDC, 2007. http://dx.doi.org/10.1115/imece2007-44145.
Texte intégralWeinstein, Jason, et Aleksandar Prodic. « Plug-and-play digital controllers for scalable low-power SMPS ». Dans 2008 11th Workshop on Control and Modeling for Power Electronics (COMPEL). IEEE, 2008. http://dx.doi.org/10.1109/compel.2008.4634706.
Texte intégralSolomentsev, Michael, et Alex J. Hanson. « Highly-Scalable Differential Power Processing Architecture for On-Vehicle Photovoltaics ». Dans 2023 IEEE 24th Workshop on Control and Modeling for Power Electronics (COMPEL). IEEE, 2023. http://dx.doi.org/10.1109/compel52896.2023.10220974.
Texte intégralJeong, Hoejeong, Hyeun-Tae Cho, Taewon Kim, Yu-Chen Liu et Katherine A. Kim. « A Scalable Unit Differential Power Processing System Design for Photovoltaic Applications ». Dans 2018 IEEE 19th Workshop on Control and Modeling for Power Electronics (COMPEL). IEEE, 2018. http://dx.doi.org/10.1109/compel.2018.8460157.
Texte intégralYishen Sun, C. C. Lee, R. Berry et A. H. Haddad. « An application of the control theoretic modeling for a scalable TCP ACK pacer ». Dans Proceedings of the 2004 American Control Conference. IEEE, 2004. http://dx.doi.org/10.23919/acc.2004.1383809.
Texte intégralRapports d'organisations sur le sujet "Scalable modeling and control"
Szymanski, Boleslaw, Shivkumar Kalyanaraman, Biplab Sikdar et Christopher Carothers. Scalable Online Network Modeling and Simulation. Fort Belvoir, VA : Defense Technical Information Center, août 2005. http://dx.doi.org/10.21236/ada437818.
Texte intégralMaxey, Martin. Modeling Mesoscale Processes of Scalable Synthesis. Office of Scientific and Technical Information (OSTI), mai 2018. http://dx.doi.org/10.2172/1496226.
Texte intégralXu, Jinchao. Modeling Mesoscale Processes of Scalable Synthesis. Office of Scientific and Technical Information (OSTI), novembre 2020. http://dx.doi.org/10.2172/1709100.
Texte intégralMelin, Alexander M., Yichen Zhang et Mohammed M. Olama. Scalable Coordination and Control for Multiple Microgrids. Office of Scientific and Technical Information (OSTI), septembre 2016. http://dx.doi.org/10.2172/1454409.
Texte intégralE, Weinan, et Amit Samanta. Modeling Mesoscale Processes of Scalable Synthesis (Final Report). Office of Scientific and Technical Information (OSTI), mars 2019. http://dx.doi.org/10.2172/1501890.
Texte intégralJohnson, Jay Tillay. Secure Scalable Control and Communications for Distributed PV. Office of Scientific and Technical Information (OSTI), janvier 2019. http://dx.doi.org/10.2172/1491602.
Texte intégralvon Meier, Alexandra. Phasor-Based Control for Scalable Solar PV Integration. Office of Scientific and Technical Information (OSTI), janvier 2021. http://dx.doi.org/10.2172/1763038.
Texte intégralYang, Zhaoqing, Alicia Gorton, Taiping Wang, Jonathan Whiting, Andrea Copping, Kevin Haas, Phillip Wolfram et Solomon Yim. Multi-resolution, Multi-scale Modeling for Scalable Macroalgae Production. Office of Scientific and Technical Information (OSTI), mai 2020. http://dx.doi.org/10.2172/1642475.
Texte intégralKeromytis, Angelos D., et Jonathan M. Smith. Requirements for Scalable Access Control and Security Management Architectures. Fort Belvoir, VA : Defense Technical Information Center, janvier 2005. http://dx.doi.org/10.21236/ada437426.
Texte intégralAmiri, Khalil, Garth Gibson et Richard Golding. Scalable Concurrency Control and Recovery for Shared Storage Arrays. Fort Belvoir, VA : Defense Technical Information Center, février 1999. http://dx.doi.org/10.21236/ada363551.
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