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Relevant bibliographies by topics / Scalable modeling and control

Academic literature on the topic 'Scalable modeling and control'

Author: Grafiati

Published: 7 July 2024

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Contents

Journal articles
Dissertations / Theses
Books
Book chapters
Conference papers
Reports

Journal articles on the topic "Scalable modeling and control":

1

Voice, Thomas. "STOCHASTICALLY SCALABLE FLOW CONTROL." Probability in the Engineering and Informational Sciences 23, no. 4 (July 14, 2009): 675–98. http://dx.doi.org/10.1017/s0269964809990076.

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Recent advances in the mathematical analysis of flow control have prompted the creation of the Scalable TCP (STCP) and Exponential RED (E-RED) algorithms. These are designed to be scalable under the popular deterministic delay stability modeling framework. In this article, we analyze stochastic models of STCP and STCP combined with E-RED link behavior. We find that under certain plausible network conditions, these probabilistic models also exhibit scalable behavior. In particular, we derive parameter choice schemes for which the equilibrium coefficients of variation of flow rates are bounded, however large, fast, or complex the network. Our model is shown to exhibit behavior similar to the mean field convergence that has recently been observed in TCP.

2

Zengin, Ahmet. "Modeling discrete event scalable network systems." Information Sciences 181, no. 5 (March 2011): 1028–43. http://dx.doi.org/10.1016/j.ins.2010.10.023.

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Chernyi, Sergei G., Aleksei V. Vyngra, and Bogdan P. Novak. "Physical modeling of an automated ship’s list control system." Journal of Intelligent & Fuzzy Systems 39, no. 6 (December 4, 2020): 8399–408. http://dx.doi.org/10.3233/jifs-189158.

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In order to implement and demonstrate all the processes associated with the real stability trial system on vessels, a ship’s model was made. The developed model consists of electrical and hardware parts. It is concluded that the model is applicable for the study of issues of automatic control of the ship’s list, simulating various loading options. Scalable loading studies of various types and sizes of cargo were carried out. The results of the study showed the correct operation of the model according to a specified algorithm. To work with the microcontroller and to code, the mathematical modeling environment Matlab/Simulink was used. The results of the study showed that the created control system is able to secure the vessel during various types of loading operations, speed up the loading process, thus reducing the time spent at the port stay and save port costs.

4

Kim, Byungju, Dongha Lee, Jinoh Oh, and Hwanjo Yu. "Scalable disk-based topic modeling for memory limited devices." Information Sciences 516 (April 2020): 353–69. http://dx.doi.org/10.1016/j.ins.2019.12.058.

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Yin, Hang, Anastasia Varava, and Danica Kragic. "Modeling, learning, perception, and control methods for deformable object manipulation." Science Robotics 6, no. 54 (May 26, 2021): eabd8803. http://dx.doi.org/10.1126/scirobotics.abd8803.

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Perceiving and handling deformable objects is an integral part of everyday life for humans. Automating tasks such as food handling, garment sorting, or assistive dressing requires open problems of modeling, perceiving, planning, and control to be solved. Recent advances in data-driven approaches, together with classical control and planning, can provide viable solutions to these open challenges. In addition, with the development of better simulation environments, we can generate and study scenarios that allow for benchmarking of various approaches and gain better understanding of what theoretical developments need to be made and how practical systems can be implemented and evaluated to provide flexible, scalable, and robust solutions. To this end, we survey more than 100 relevant studies in this area and use it as the basis to discuss open problems. We adopt a learning perspective to unify the discussion over analytical and data-driven approaches, addressing how to use and integrate model priors and task data in perceiving and manipulating a variety of deformable objects.

6

Gómez, Abel, Xabier Mendialdua, Konstantinos Barmpis, Gábor Bergmann, Jordi Cabot, Xabier de Carlos, Csaba Debreceni, Antonio Garmendia, Dimitrios S. Kolovos, and 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 (January 22, 2020): 1229–61. http://dx.doi.org/10.1007/s10270-020-00776-8.

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Rocha, André M., Pedro Casau, and Rita Cunha. "A Control Algorithm for Early Wildfire Detection Using Aerial Sensor Networks: Modeling and Simulation." Drones 6, no. 2 (February 11, 2022): 44. http://dx.doi.org/10.3390/drones6020044.

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This work presents an algorithm for an Aerial Sensor Network (ASN) composed of fixed-wing Unmanned Aerial Vehicles (UAVs) that performs surveillance and detects the early signs of a wildfire in a given territory. The main goal is to cover a given area while prioritizing areas of higher fire hazard risk. The proposed algorithm is scalable to any number of aircraft and can use any kind of fire hazard risk map as long as it contains bounded and nonnegative values. Two different dynamical models associated with the movement of fixed-wing UAVs are proposed, tested, and compared through simulations. Lastly, we propose a workflow to size the ASN in order to maximize the probability of detection of wildfires for a particular risk profile.

8

Vermulst, Bas J. D., Jorge L. Duarte, Elena A. Lomonova, and Korneel G. E. Wijnands. "Scalable multi‐port active‐bridge converters: modelling and optimised control." IET Power Electronics 10, no. 1 (January 2017): 80–91. http://dx.doi.org/10.1049/iet-pel.2016.0191.

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Yang, Jingyu, Wen Shi, Huanjing Yue, Kun Li, Jian Ma, and Chunping Hou. "Spatiotemporally scalable matrix recovery for background modeling and moving object detection." Signal Processing 168 (March 2020): 107362. http://dx.doi.org/10.1016/j.sigpro.2019.107362.

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Wydrowski, B., L. L. H. Andrew, and M. Zukerman. "MaxNet: a congestion control architecture for scalable networks." IEEE Communications Letters 7, no. 10 (October 2003): 511–13. http://dx.doi.org/10.1109/lcomm.2003.818888.

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Dissertations / Theses on the topic "Scalable modeling and control":

1

Jordan, Philip [Verfasser]. "Scalable Modelling of Aircraft Environmental Control Systems / Philip Jordan." München : Verlag Dr. Hut, 2019. http://d-nb.info/118151441X/34.

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Kumar, Vibhore. "Enabling scalable self-management for enterprise-scale systems." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/24788.

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Thesis (Ph.D.)--Computing, Georgia Institute of Technology, 2008.
Committee Chair: Schwan, Karsten; Committee Member: Cooper, Brian F.; Committee Member: Feamster, Nick; Committee Member: Liu, Ling; Committee Member: Sahai, Akhil.

3

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.

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A Cognitive Radio Network (CRN) is a technology that allows unlicensed users to utilise licensed spectrum by detecting an idle band through sensing. How- ever, most research studies on CRNs have been carried out without considering the impact of sensing on the performance and security of CRNs. Sensing is essential for secondary users (SUs) to get hold of free band without interfering with the signal generated by primary users (PUs). However, excessive sensing time for the detection of free spectrum for SUs as well as extended periods of CRNs in an insecure state have adverse effects on network performance. Moreover, a CRN is very vulnerable to attacks as a result of its wireless nature and other unique characteristics such as spectrum sensing and sharing. These attacks may attempt to eavesdrop or modify the contents of packets being transmitted and they could also deny legitimate users the opportunity to use the band, leading to underutilization of the spectrum space. In this context, it is often challenging to differentiate between networks under Denial of Service (DoS) attacks from those networks experiencing congestion. This thesis employs a novel Stochastic Activity Network (SAN) model as an effective analytic tool to represent and study sensing vs performance vs security trade-offs in CRNs. Specifically, an investigation is carried out focusing on sensing vs security vs performance trade-offs, leading to the optimization of the spectrum band’s usage. Moreover, consideration is given either when a CRN experiencing congestion and or it is under attack. Consequently, the data delivery ratio (PDR) is employed to determine if the network is under DoS attack or experiencing congestion. In this context, packet loss probability, queue length and throughput of the transmitter are often used to measure the PDR with reference to interarrival times of PUs. Furthermore, this thesis takes into consideration the impact of scalability on the performance of the CRN. Due to the unpredictable nature of PUsactivities on the spectrum, it is imperative for SUs to swiftly utilize the band as soon as it becomes available. Unfortunately, the CRN models proposed in literature are static and unable to respond effectively to changes in service demands. To this end, a numerical simulation experiment is carried out to determine the impact of scalability towards the enhancement of nodal CRN sensing, security and performance. Atthe instant the band becomes idle and there are requests by SUs waiting for encryption and transmission, additional resources are dynamically released in order to largely utilize the spectrum space before the reappearance of PUs. These additional resources make the same service provision, such as encryption and intrusion detection, as the initial resources. To this end,SAN model is proposed in order to investigate the impact of scalability on the performance of CRN. Typical numerical simulation experiments are carried out, based on the application of the Mobius Petri Net Package to determine the performance of scalable CRNs (SCRNs) in comparison with unscalable CRNs (UCRNs) and associated interpretations are made.

4

May, Brian 1975. "Scalable access control." Monash University, School of Computer Science and Software, 2001. http://arrow.monash.edu.au/hdl/1959.1/8043.

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Aroua, 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.

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L'industrie automobile est contrainte d'accélérer le développement et le déploiement des véhicules électrifiés à un rythme sans précédent, afin d'aligner le secteur du transport avec les objectifs climatiques. La réduction du temps de développement des véhicules électriques devient une priorité urgente. D'autre part, l'industrie est confrontée à une complexité accrue et à l'ampleur de l'espace de conception des chaînes de traction électrifiées émergentes. Les approches existantes pour aborder la conception des composants, notamment les méthodes numériques telles que la méthode des éléments finis, la mécanique des fluides numérique, etc., reposent sur un processus de conception détaillé. Cela entraîne une longue charge de calcul lorsqu'on essaie de les intégrer au niveau système. L'accélération des premières phases de développement des véhicules électrifiés nécessite de nouvelles méthodologies et de nouveaux outils, permettant d'explorer l'espace de conception au niveau système. Ces méthodologies devraient permettre d'évaluer les différents choix de pré-dimensionnement des chaînes de traction électrifiées dans les phases de pré-étude. Cette évaluation devrait se faire de manière efficace en termes de temps de calcul, tout en garantissant des résultats fiables en termes de consommation énergétique au niveau système. Pour relever ce défi, cette thèse de doctorat vise à développer une méthodologie de mise à l'échelle pour les systèmes d'entraînement électromécaniques, permettant l'étude au niveau système de différents véhicules électriques. Un système d'entraînement électromécanique se compose d'un ensemble comprenant un onduleur, une machine électrique, un réducteur mécanique et une unité de contrôle. La procédure de mise à l'échelle vise à prédire les données d'une conception nouvellement définie d'un composant donné avec des spécifications différentes sur la base d'une conception de référence, sans avoir à refaire des étapes qui demandent beaucoup de temps et d'efforts. À cette fin, différentes formulations de lois de mise à l'échelle des composants du système d'entraînement électromécanique sont examinées en détail et comparées au niveau composant en termes de mise à l'échelle de la perte de puissance. Un accent particulier est mis sur l'examen de la méthode de mise à l'échelle linéaire des pertes par une homothétie, qui est largement employée dans les études au niveau système. En effet, cette méthode présente des hypothèses discutables et n'a pas fait l'objet d'une étude approfondie. En outre, l'une des principales contributions de ce travail est la formulation des lois de mise à l'échelle des pertes de puissance des réducteurs mécaniques, qui ont été identifiées comme une lacune dans la littérature actuelle. Pour ce faire, une campagne expérimentale intensive a été menée sur des réducteurs mécaniques commerciaux. Pour intégrer les lois d'échelle au niveau système et étudier l'interaction entre les composants mis à l'échelle, le formalisme de la représentation macroscopique énergétique est utilisé. La nouveauté de la méthode proposée réside dans la structuration d'un modèle et d'une commande évolutifs du système d'entraînement électromécanique de référence à utiliser dans la simulation au niveau système. La nouvelle organisation consiste en un modèle et une commande de référence complétés par deux éléments d'adaptation de puissance du côté électrique et mécanique. Ces derniers éléments prennent en compte les effets d'échelle, y compris les pertes de puissance. La méthodologie est appliquée à différents cas d'étude de véhicules électriques à batterie, allant des véhicules légers aux véhicules lourds. Une attention particulière est accordée à l'évaluation de l'impact de la méthode de la mise à l'échelle linéaire sur la consommation d'énergie, en tenant compte de différents facteurs de mise à l'échelle de la puissance et des cycles de conduite, par rapport à d'autres méthodes de mise à l'échelle avec une haute-fidélité
The 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

6

TUCCI, MICHELE. "Scalable control of islanded microgrids." Doctoral thesis, Università degli studi di Pavia, 2018. http://hdl.handle.net/11571/1214890.

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In 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.
In 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.

7

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.

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Gramsamer, 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.

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Gevros, 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.

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Roman, 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.

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Books on the topic "Scalable modeling and control":

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Pelikan, Martin, Kumara Sastry, and Erick CantúPaz, eds. Scalable Optimization via Probabilistic Modeling. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/978-3-540-34954-9.

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Chiuso, Alessandro, Stefano Pinzoni, and Augusto Ferrante, eds. Modeling, Estimation and Control. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-73570-0.

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Isermann, Rolf. Engine Modeling and Control. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-39934-3.

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Babuška, Robert. Fuzzy Modeling for Control. Dordrecht: Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-011-4868-9.

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Piegat, Andrzej. Fuzzy Modeling and Control. Heidelberg: Physica-Verlag HD, 2001. http://dx.doi.org/10.1007/978-3-7908-1824-6.

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IIASA, Conference on "Discrete Event Systems" (1987 Sopron Hungary). Modeling and adaptive control. Berlin: Springer-Verlag, 1988.

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Eyman, Earl D. Modeling, simulation, and control. St. Paul: West Pub. Co., 1988.

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Spong, Mark W. Robot modeling and control. Hoboken, NJ: John Wiley & Sons, 2006.

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Babuška, Robert. Fuzzy modeling for control. Boston: Kluwer Academic Publishers, 1998.

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Babuška, Robert. Fuzzy modeling for control. New York: Springer, 1998.

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Book chapters on the topic "Scalable modeling and control":

1

Gómez, Abel, Xabier Mendialdua, Gábor Bergmann, Jordi Cabot, Csaba Debreceni, Antonio Garmendia, Dimitrios S. Kolovos, Juan de Lara, and Salvador Trujillo. "On the Opportunities of Scalable Modeling Technologies: An Experience Report on Wind Turbines Control Applications Development." In Modelling Foundations and Applications, 300–315. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61482-3_18.

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Spinelli, Stefano. "Optimal Management and Control of Smart Thermal-Energy Grids." In Special Topics in Information Technology, 15–27. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-85918-3_2.

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AbstractThis work deals with the development of novel algorithms and methodologies for the optimal management and control of thermal and electrical energy units operating in a networked configuration. The aim of the work is to foster the creation of a smart thermal-energy grid (smart-TEG), by providing supporting tools for the modeling of subsystems and their optimal control and coordination. A hierarchical scheme is proposed to optimally address the management and control issues of the smart-TEG. Different methods are adopted to deal with the features of the specific generation units involved, e.g., multi-rate MPC approaches, or linear parameter-varying strategies for managing subsystem nonlinearity. An advanced scheme based on ensemble model is also conceived for a network of homogeneous units operating in parallel. Moreover, a distributed optimization algorithm for the high-level unit commitment problem is proposed to provide a robust, flexible and scalable scheme.

3

Mertes, J., M. Glatt, L. Yi, M. Klar, B. Ravani, and J. C. Aurich. "Modeling and Implementation of a 5G-Enabled Digital Twin of a Machine Tool Based on Physics Simulation." In 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.

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AbstractThe cellular network standard 5G meets the networking requirements for different industrial use cases due to the advantages of low latency, high bandwidth, and high device density while providing a very good quality of service. These capabilities enable the realization of wireless digital twins (DTs), a key element of future cyber-physical production systems. DTs for prediction, monitoring, and control of machine tools need physical modeling as well as the bidirectional exchange of information between the digital and the physical world. 5G is a wireless communication technology with the potential to disruptively change industrial communication. 5G enables wireless, highly scalable, and flexible realization of even safety- and latency-critical connections. In this paper, a 5G enabled DT of a machine tool for process control, monitoring and simulation is developed and implemented. A bidirectional communication between the physical machine tool and the DT is realized via 5G. Moreover, process prediction is enabled based on physics simulation. Next to the physical modeling of the machine behavior, a 5G-capable interface between the input and output signals of the machine control system and the developed DT is implemented. Moreover, the DT is migrated in a wireless form to an edge server. Furthermore, the capabilities of the DT are demonstrated. Therefore, the architecture and implementation of the DT as well as its benefits and challenges are outlined.

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Ko, Kwang O., Doug Young Suh, Young Soo Kim, and Jin Sang Kim. "Feedback Control Using State Prediction and Channel Modeling Using Lower Layer Information for Scalable Multimedia Streaming Service." In Networking - ICN 2005, 901–8. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-31956-6_106.

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Sosnowski, Markus, Johannes Zirngibl, Patrick Sattler, and Georg Carle. "DissecTLS: A Scalable Active Scanner for TLS Server Configurations, Capabilities, and TLS Fingerprinting." In Passive and Active Measurement, 110–26. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-28486-1_6.

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AbstractCollecting metadata from Transport Layer Security (TLS) servers on a large scale allows to draw conclusions about their capabilities and configuration. This provides not only insights into the Internet but it enables use cases like detecting malicious Command and Control (C &C) servers. However, active scanners can only observe and interpret the behavior of TLS servers, the underlying configuration and implementation causing the behavior remains hidden. Existing approaches struggle between resource intensive scans that can reconstruct this data and light-weight fingerprinting approaches that aim to differentiate servers without making any assumptions about their inner working. With this work we propose DissecTLS, an active TLS scanner that is both light-weight enough to be used for Internet measurements and able to reconstruct the configuration and capabilities of the TLS stack. This was achieved by modeling the parameters of the TLS stack and derive an active scan that dynamically creates scanning probes based on the model and the previous responses from the server. We provide a comparison of five active TLS scanning and fingerprinting approaches in a local testbed and on toplist targets. We conducted a measurement study over nine weeks to fingerprint C &C servers and analyzed popular and deprecated TLS parameter usage. Similar to related work, the fingerprinting achieved a maximum precision of 99 % for a conservative detection threshold of 100 %; and at the same time, we improved the recall by a factor of 2.8.

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Farina, Marcello, Giancarlo Ferrari-Trecate, Colin Jones, Stefano Riverso, and Melanie Zeilinger. "Scalable MPC Design." In Handbook of Model Predictive Control, 259–83. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77489-3_12.

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Jónsson, Björn Þór, Marcel Worring, Jan Zahálka, Stevan Rudinac, and Laurent Amsaleg. "Ten Research Questions for Scalable Multimedia Analytics." In MultiMedia Modeling, 290–302. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-27674-8_26.

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Takahashi, Keichi, Kohei Ichikawa, and Gerald M. Pao. "Toward Scalable Empirical Dynamic Modeling." In Sustained Simulation Performance 2022, 61–69. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-41073-4_5.

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Cao, Qian, Dongdong Zhang, and Chengyu Sun. "Quality Scalable Video Coding Based on Neural Representation." In MultiMedia Modeling, 396–409. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-53305-1_30.

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Heinz, Ernst A. "Modeling the “Go Deep” Behaviour." In Scalable Search in Computer Chess, 145–56. Wiesbaden: Vieweg+Teubner Verlag, 2000. http://dx.doi.org/10.1007/978-3-322-90178-1_10.

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Conference papers on the topic "Scalable modeling and control":

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Shiming Chen and Huajing Fang. "Modeling and Control of Scalable Engineering Swarm." In 2006 6th World Congress on Intelligent Control and Automation. IEEE, 2006. http://dx.doi.org/10.1109/wcica.2006.1712395.

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Wei, Xi, and Giorgio Rizzoni. "A Scalable Approach for Energy Converter Modeling and Supervisory Control Design." In ASME 2001 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/imece2001/dsc-24541.

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Abstract Increasing demand for hybrid electric vehicle designs requires automated modeling and simulation tools to construct a design space search. Composability and scalability are highly desirable in these simulators to provide design candidates. To achieve effective and efficient automation of the design space search, a scaling approach with moderate complexity and consideration of component nonlinear characteristics is necessary in sizing powertrain components, especially energy converters. The Willans line approach proposed in this paper provides models that are sufficiently accurate but not excessively complicated and permits the derivation of a scalable supervisory control algorithm for overall energy consumption minimization. The scalable models and the control strategy can be adapted to various vehicle drivetrain configurations, providing a scalable and composable simulation tool for vehicle powertrain rapid designing. Scaling results of the Willans line approach are compared with real data and another scaling method in a “forward”, quasi-static simulator.

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Su Sheng. "A scalable agent based load-modeling system." In 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.

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Ghaemi, Reza, Aditya Kumar, Pierino Bonanni, and Nikita Visnevski. "Scalable Optimal Flexibility Control, modeling and estimation of commercial buildings." In 2020 American Control Conference (ACC). IEEE, 2020. http://dx.doi.org/10.23919/acc45564.2020.9147398.

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Sirisena, H., and V. Sreeram. "Modeling of scalable TCP for AQM design in high speed networks." In 2006 American Control Conference. IEEE, 2006. http://dx.doi.org/10.1109/acc.2006.1657612.

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Kerley, Daniel, Edward J. Park, and Jennifer Dunn. "Distributed Modeling and Decentralized H∞ Control of a Segmented Telescope Mirror." In ASME 2007 International Mechanical Engineering Congress and Exposition. ASMEDC, 2007. http://dx.doi.org/10.1115/imece2007-44145.

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In this paper a distributed dynamic model for a segmented primary mirror of an optical telescope is presented, based on the distributed modeling framework for spatially interconnected systems. The next generation of optical telescopes will employ highly segmented primary mirrors, which leads to a large-scale control problem. The distributed modeling technique allows for the design of scalable decentralized controllers that are better suited for such systems. A numerical seven segment mirror surface model is used as the benchmark system for comparing the performance between a scalable decentralized H∞ controller and a global H∞ controller. The closed-loop control simulation results show that both controllers perform comparably for the benchmark case. However when the number of the segments increases significantly (e.g. > 100) the scalable decentralized control will allow for a more tractable solution than the monolithic global control.

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Weinstein, Jason, and Aleksandar Prodic. "Plug-and-play digital controllers for scalable low-power SMPS." In 2008 11th Workshop on Control and Modeling for Power Electronics (COMPEL). IEEE, 2008. http://dx.doi.org/10.1109/compel.2008.4634706.

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Solomentsev, Michael, and Alex J. Hanson. "Highly-Scalable Differential Power Processing Architecture for On-Vehicle Photovoltaics." In 2023 IEEE 24th Workshop on Control and Modeling for Power Electronics (COMPEL). IEEE, 2023. http://dx.doi.org/10.1109/compel52896.2023.10220974.

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Jeong, Hoejeong, Hyeun-Tae Cho, Taewon Kim, Yu-Chen Liu, and Katherine A. Kim. "A Scalable Unit Differential Power Processing System Design for Photovoltaic Applications." In 2018 IEEE 19th Workshop on Control and Modeling for Power Electronics (COMPEL). IEEE, 2018. http://dx.doi.org/10.1109/compel.2018.8460157.

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Yishen Sun, C. C. Lee, R. Berry, and A. H. Haddad. "An application of the control theoretic modeling for a scalable TCP ACK pacer." In Proceedings of the 2004 American Control Conference. IEEE, 2004. http://dx.doi.org/10.23919/acc.2004.1383809.

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Reports on the topic "Scalable modeling and control":

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Szymanski, Boleslaw, Shivkumar Kalyanaraman, Biplab Sikdar, and Christopher Carothers. Scalable Online Network Modeling and Simulation. Fort Belvoir, VA: Defense Technical Information Center, August 2005. http://dx.doi.org/10.21236/ada437818.

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Maxey, Martin. Modeling Mesoscale Processes of Scalable Synthesis. Office of Scientific and Technical Information (OSTI), May 2018. http://dx.doi.org/10.2172/1496226.

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Xu, Jinchao. Modeling Mesoscale Processes of Scalable Synthesis. Office of Scientific and Technical Information (OSTI), November 2020. http://dx.doi.org/10.2172/1709100.

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Melin, Alexander M., Yichen Zhang, and Mohammed M. Olama. Scalable Coordination and Control for Multiple Microgrids. Office of Scientific and Technical Information (OSTI), September 2016. http://dx.doi.org/10.2172/1454409.

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E, Weinan, and Amit Samanta. Modeling Mesoscale Processes of Scalable Synthesis (Final Report). Office of Scientific and Technical Information (OSTI), March 2019. http://dx.doi.org/10.2172/1501890.

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Johnson, Jay Tillay. Secure Scalable Control and Communications for Distributed PV. Office of Scientific and Technical Information (OSTI), January 2019. http://dx.doi.org/10.2172/1491602.

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von Meier, Alexandra. Phasor-Based Control for Scalable Solar PV Integration. Office of Scientific and Technical Information (OSTI), January 2021. http://dx.doi.org/10.2172/1763038.

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Yang, Zhaoqing, Alicia Gorton, Taiping Wang, Jonathan Whiting, Andrea Copping, Kevin Haas, Phillip Wolfram, and Solomon Yim. Multi-resolution, Multi-scale Modeling for Scalable Macroalgae Production. Office of Scientific and Technical Information (OSTI), May 2020. http://dx.doi.org/10.2172/1642475.

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Keromytis, Angelos D., and Jonathan M. Smith. Requirements for Scalable Access Control and Security Management Architectures. Fort Belvoir, VA: Defense Technical Information Center, January 2005. http://dx.doi.org/10.21236/ada437426.

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Amiri, Khalil, Garth Gibson, and Richard Golding. Scalable Concurrency Control and Recovery for Shared Storage Arrays. Fort Belvoir, VA: Defense Technical Information Center, February 1999. http://dx.doi.org/10.21236/ada363551.

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