Letteratura scientifica selezionata sul tema "Distributed or decentralized control"
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Articoli di riviste sul tema "Distributed or decentralized control":
Mittasch, Christian, Thomas Weise e Margret Hesselmann. "Decentralized control structures for distributed workflow applications". Integrated Computer-Aided Engineering 7, n. 4 (1 ottobre 2000): 327–41. http://dx.doi.org/10.3233/ica-2000-7405.
Kammer, Christoph, e Alireza Karimi. "Decentralized and Distributed Transient Control for Microgrids". IEEE Transactions on Control Systems Technology 27, n. 1 (gennaio 2019): 311–22. http://dx.doi.org/10.1109/tcst.2017.2768421.
Miltchev, Stefan, Jonathan M. Smith, Vassilis Prevelakis, Angelos Keromytis e Sotiris Ioannidis. "Decentralized access control in distributed file systems". ACM Computing Surveys 40, n. 3 (agosto 2008): 1–30. http://dx.doi.org/10.1145/1380584.1380588.
Lin, Weixuan, e Eilyan Bitar. "Decentralized Stochastic Control of Distributed Energy Resources". IEEE Transactions on Power Systems 33, n. 1 (gennaio 2018): 888–900. http://dx.doi.org/10.1109/tpwrs.2017.2700472.
Botchkaryov, A. "METHOD FOR DECENTRALIZED CONTROL OF ADAPTIVE DATA COLLECTION PROCESSES IN AUTONOMOUS DISTRIBUTED SYSTEMS". Computer systems and network 5, n. 1 (16 dicembre 2023): 8–19. http://dx.doi.org/10.23939/csn2023.01.008.
Skandylas, Charilaos, Narges Khakpour e Jesper Andersson. "AT-DIFC + : Toward Adaptive and Trust-Aware Decentralized Information Flow Control". ACM Transactions on Autonomous and Adaptive Systems 15, n. 4 (31 dicembre 2020): 1–35. http://dx.doi.org/10.1145/3487292.
Anderson, B., e A. Linnemann. "Control of decentralized systems with distributed controller complexity". IEEE Transactions on Automatic Control 32, n. 7 (luglio 1987): 625–29. http://dx.doi.org/10.1109/tac.1987.1104669.
Yasuda, Keiichiro, Yoshihisa Tabuchi e Tsunayoshi Ishii. "Decentralized Autonomous Control of Super Distributed Energy Systems". Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications 2005 (5 maggio 2005): 297–302. http://dx.doi.org/10.5687/sss.2005.297.
Laengle, Th, e T. C. Lueth. "Decentralized control of distributed intelligent robots and subsystems". Annual Review in Automatic Programming 19 (gennaio 1994): 281–86. http://dx.doi.org/10.1016/0066-4138(94)90079-5.
ANDRUSEAC, Gabriel-Ciprian, e Lucian-Alexandru TĂTULEA. "CENTRALIZED CONTROL OR DISTRIBUTED CONTROL – DO WE NEED A PARADIGM SHIFT?" INTERNATIONAL SCIENTIFIC CONFERINCE "STRATEGIESXXI" 18, n. 1 (6 dicembre 2022): 162–70. http://dx.doi.org/10.53477/2971-8813-22-19.
Tesi sul tema "Distributed or decentralized control":
Zhang, Zedong. "Decentralized control of distributed generation in future distribution networks". Thesis, University of Manchester, 2017. https://www.research.manchester.ac.uk/portal/en/theses/decentralized-control-of-distributed-generation-in-future-distribution-networks(aaffa96a-284f-4b04-a528-ee2bd98dba59).html.
Schwartz, Jana Lyn. "The Distributed Spacecraft Attitude Control System Simulator: From Design Concept to Decentralized Control". Diss., Virginia Tech, 2004. http://hdl.handle.net/10919/28269.
Ph. D.
Vásquez, Quintero Juan Carlos. "Decentralized control techniques applied to electric power distributed generation in microgrids". Doctoral thesis, Universitat Politècnica de Catalunya, 2009. http://hdl.handle.net/10803/5956.
The most recent research projects show the technical difficulty of controlling the operation of microgrids, because they are complex systems in which several subsystems interact: energy sources, power electronic converters, energy storage systems, local, linear and non-linear loads and of course, the main grid. In next years, the electric grid will evolve from the current very centralized model toward a more distributed one. At the present time the generation, consumption and storage points are very far away one from each other. Under these circumstances, relatively frequent failures of the electric supply and important losses take place in the transport and distribution of energy, so that it can be stated that the efficiency of the supply system is low.
In another context, electric companies are aiming at an electric grid, formed in a certain proportion by distributed generators, where the consumption points are near the generation points, avoiding high losses in the transmission lines and reducing the rate of shortcomings. Summing up, it is pursued the generation of small quantities of electric power by the users (this concept is called microgeneration in the origin), considering them not only as electric power consumers but also as responsible for the generation, becoming this way an integral part of the grid.
In this context it is necessary to develop a new concept of flexible grid, i.e., with reconfiguration capability for operation with or without connection to the mains. The future microgrids should incorporate supervision and control systems that allow the efficient management of various kinds of energy generators, such as photovoltaic panels, energy storage systems, and local loads. Hence, we are dealing with intelligent flexible Microgrids capable of import and export power from/to the grid reconfiguring its operation modes and making decisions in real time.
The researching lineas that have been introduced in this thesis are focused on the innovation in this kind of systems, the integration of several renewable energy sources, the quality of the power supply, security issues, and the system behavior during faults.
In order to carry out some solutions related within these characteristics, the main goal of this thesis is the application on new control stretegies and a power management analysis of a microgrid. Thus, thanks to the emerging of renewable energy, is possible to give an alternative to the decoupling of generation units connected to the utility grid.
Likewise, a work methodology has been analyzed and developed based on the modeling, control parameters design, and power management control starting from a single voltage source inverter to a number of interconnected DG units forming flexible Microgrids. In addition, all the mencioned topics have been studied giving new system performances, viability and safe functioning, thanks to the small-signal analysis and introducing control loop design algorithms, improving the import/export of electric power and operating both grid connected mode and an island.
This thesis has presented an analysis, simulation and experimental results focusing on modeling, control, and analysis of DG units, giving contributions according to the following steps:
- Control-oriented modeling based on active and reactive power analysis
- Control synthesis based on enhanced droop control technique.
- Small-signal stability study to give guidelines for properly adjusting the control system parameters according to the desired dynamic response
This methodology has been extended to microgrids by using hierarchical control applied to droop-controlled line interactive UPSs showing that:
- Droop-controlled inverters can be used in islanded microgrids.
- By using multilevel control systems the microgrid can operate in both grid-connected and islanded mode, in a concept called flexible microgrid.
The proposed hierarchical control required for flexible Microgrids consisted of different control levels, as following:
- Primary control is based on the droop method allowing the connection of different AC sources without any intercommunication.
- Secondary control avoids the voltage and frequency deviation produced by the primary control. Only low bandwidth communications are needed to perform this control level. A synchronization loop can be added in this level to transfer from islanding to grid connected modes.
- Tertiary control allows the import/export of active and reactive power to the grid.
Cao, Yongcan. "Decentralized Coordination of Multiple Autonomous Vehicles". DigitalCommons@USU, 2010. https://digitalcommons.usu.edu/etd/652.
Melhuish, C. R. "Strategies for collective minimalist mobile robots". Thesis, University of the West of England, Bristol, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.265090.
de, Azevedo Ricardo. "Fully Decentralized Multi-Agent System for Optimal Microgrid Control". FIU Digital Commons, 2016. http://digitalcommons.fiu.edu/etd/2461.
Calabria, Mauro [Verfasser], e Walter [Akademischer Betreuer] Schumacher. "Modeling and distributed control of decentralized energy generation: a MIMO approach / Mauro Calabria ; Betreuer: Walter Schumacher". Braunschweig : Technische Universität Braunschweig, 2015. http://d-nb.info/1175819336/34.
Mundy, David H. "Decentralised control flow : a computational model for distributed systems". Thesis, University of Newcastle Upon Tyne, 1988. http://hdl.handle.net/10443/2050.
Veetaseveera, Jomphop. "Decentralized control design for synchronization of multi-agent systems with guaranteed individual costs". Electronic Thesis or Diss., Université de Lorraine, 2021. http://www.theses.fr/2021LORR0303.
The work of this thesis focuses on the synthesis and analysis of synchronization algorithms for multi-agent systems, with linear dynamics and fixed topology. By synchronization, we mean that the states of all agents evolve on the same trajectory from a certain time. Taking into account communication constraints, we propose decentralized control architectures, i.e. that use only local information. In a first part, we draw from game theory to propose a control law considering an individual satisfactory cost per agent. In order to facilitate the analysis, the synchronization problem is first reformulated as a stabilization problem. Then, conditions given in the form of Linear Matrix Inegalities allow to check if a gain profile corresponds to a satisfaction equilibrium or not. A set of gains is a satisfaction equilibrium when the individual cost of each agent is bounded by a given threshold. Furthermore, based on the output feedback control, a second result allows us to synthesize the gain of an agent assuming the gains of the other agents are known. The second part, dedicated to networks with clusters, is based on the Singular Perturbed Theory to present a control law more focused on large-scale networks. The objective is to provide a computationally efficient method to design control strategies that guarantee a certain limit on the cost of each cluster. Using a time-scale separation method, the control law design is separated into two parts: an internal and an external control. Their designs are done independently from each other and tend to reduce the computational load. Moreover, we show that the internal control affects the cost of the cluster only during a short period of time
Keppmann, Felix Leif [Verfasser], e R. [Akademischer Betreuer] Studer. "Decentralized Control and Adaptation in Distributed Applications via Web and Semantic Web Technologies / Felix Leif Keppmann ; Betreuer: R. Studer". Karlsruhe : KIT Scientific Publishing, 2020. http://d-nb.info/1207470260/34.
Libri sul tema "Distributed or decentralized control":
T, Leondes Cornelius, a cura di. Decentralized/distributed control and dynamic systems. Orlando: Academic Press, 1985.
International Workshop on Autonomous Decentralized System (2nd 2002 Beijing, China). The 2nd International Workshop on Autonomous Decentralized System: Proceedings : November, 6-7, 2002, Beijing, China. Los Alamitos, Calif: IEEE Computer Society, 2002.
Oliynykov, Roman, Oleksandr Kuznetsov, Oleksandr Lemeshko e Tamara Radivilova, a cura di. Information Security Technologies in the Decentralized Distributed Networks. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-95161-0.
S̆iljak, Dragoslav D. Decentralized control of complex systems. Boston: Academic Press, 1990.
Siljak, Dragoslav D. Decentralized control of complex systems. Mineola, N.Y: Dover Publications, 2012.
Siljak, Dragoslav D. Decentralized control of complex systems. Boston: Academic Press, 1991.
Guo, Yi. Distributed Cooperative Control. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2017. http://dx.doi.org/10.1002/9781119216131.
Nocetti, D. Fabian Garcia. Reconfigurable distributed control. London: Springer, 2005.
Benitez-Pérez, Héctor. Reconfigurable distributed control. London, UK: Springer, 2004.
IFIP WG10.3 International Conference on Decentralized and Distributed Systems (1993 Palma de Mallorca, Spain). Decentralized and distributed systems: Proceedings of the IFIP WG10.3 International Conference on Decentralized and Distributed Systems, Palma de Mallorca, Spain, 13-17 September 1993. Amsterdam: North-Holland, 1993.
Capitoli di libri sul tema "Distributed or decentralized control":
Kelbert, Florian, e Alexander Pretschner. "Decentralized Distributed Data Usage Control". In Cryptology and Network Security, 353–69. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12280-9_23.
Zhang, Chun, e Geir E. Dullerud. "Decentralized Control with Communication Bandwidth Constraints". In Distributed Decision Making and Control, 55–81. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2265-4_3.
Panerati, Jacopo, Benjamin Ramtoula, David St-Onge, Yanjun Cao, Marcel Kaufmann, Aidan Cowley, Lorenzo Sabattini e Giovanni Beltrame. "On the Communication Requirements of Decentralized Connectivity Control". In Distributed Autonomous Robotic Systems, 95–107. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-92790-5_8.
Papastaikoudis, Ioannis, e Ioannis Lestas. "Decentralized Control Methods in Hypergraph Distributed Optimization". In Complex Networks & Their Applications XII, 159–70. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-53472-0_14.
Charalambous, C. D., e N. U. Ahmed. "Team Theory and Information Structures of Stochastic Dynamic Decentralized Decision". In Coordination Control of Distributed Systems, 155–63. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10407-2_19.
van Schuppen, Jan H. "Common, Correlated, and Private Information in Control of Decentralized Systems". In Coordination Control of Distributed Systems, 215–22. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10407-2_26.
Gegov, Alexander. "Decentralized Fuzzy Control of Multivariable Systems by Passive Decomposition". In Distributed Fuzzy Control of Multivariable Systems, 50–66. Dordrecht: Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-015-8640-5_5.
Gegov, Alexander. "Decentralized Fuzzy Control of Multivariable Systems by Active Decomposition". In Distributed Fuzzy Control of Multivariable Systems, 67–86. Dordrecht: Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-015-8640-5_6.
Gegov, Alexander. "Decentralized Fuzzy Control of Multivariable Systems by Direct Decomposition". In Distributed Fuzzy Control of Multivariable Systems, 87–104. Dordrecht: Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-015-8640-5_7.
Wonham, W. Murray, e Kai Cai. "Decentralized and Distributed Supervision of Discrete-Event Systems". In Supervisory Control of Discrete-Event Systems, 147–203. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77452-7_4.
Atti di convegni sul tema "Distributed or decentralized control":
Berg, T. M., e H. F. Durrant-Whyte. "On Distributed and Decentralized Estimation". In 1992 American Control Conference. IEEE, 1992. http://dx.doi.org/10.23919/acc.1992.4792762.
Berg, T. M., e H. F. Durrant-Whyte. "Distributed And Decentralized Estimation". In 1992 Singapore International Conference on Intelligent Control and Instrumentation. IEEE, 1992. http://dx.doi.org/10.1109/sicici.1992.637696.
Yin, Xunyuan, Jing Zeng e Jinfeng Liu. "From decentralized to distributed state estimation". In 2017 American Control Conference (ACC). IEEE, 2017. http://dx.doi.org/10.23919/acc.2017.7963230.
Pandya, Nishit V., Himanshu Kumar, Gokulnath M. Pillai e Vinod Ganapathy. "Decentralized Information-Flow Control for ROS2". In Network and Distributed System Security Symposium. Reston, VA: Internet Society, 2024. http://dx.doi.org/10.14722/ndss.2024.24101.
Ramesh, Reethika, Ram Sundara Raman, Matthew Bernhard, Victor Ongkowijaya, Leonid Evdokimov, Anne Edmundson, Steven Sprecher, Muhammad Ikram e Roya Ensafi. "Decentralized Control: A Case Study of Russia". In Network and Distributed System Security Symposium. Reston, VA: Internet Society, 2020. http://dx.doi.org/10.14722/ndss.2020.23098.
Kerley, Daniel, Edward J. Park e 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.
Feng, Xiaowen, Pengcheng Deng, Yanzi Yi, Qi Yu, Decun Luo, Hua Deng e Yujue Wang. "Verifiable Decentralized Access Control for Distributed Databases". In 2020 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC). IEEE, 2020. http://dx.doi.org/10.1109/cyberc49757.2020.00046.
Chu Cheong, Matthew K., Haiya Qian, Julia Conger, Dongmei Chen e Pengwei Du. "Distributed ℋ∞ Frequency Control for Inverter Connected Microgrids". In ASME 2017 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/dscc2017-5400.
Overstreet, Jamahl, Farshad Khorrami e Prashanth Krishnamurthy. "Decentralized swarming beliefs of distributed autonomous heterogeneous system". In 2011 American Control Conference. IEEE, 2011. http://dx.doi.org/10.1109/acc.2011.5991574.
Ozguner, Umit, e Enrique Barbieri. "Decentralized control of a class of distributed systems". In 1985 24th IEEE Conference on Decision and Control. IEEE, 1985. http://dx.doi.org/10.1109/cdc.1985.268636.
Rapporti di organizzazioni sul tema "Distributed or decentralized control":
Friedler, Eran, e Karl G. Linden. Distributed UV LEDs for combined control of fouling of drip emitters and disinfection during irrigation with reclaimed wastewater effluent. Israel: United States-Israel Binational Agricultural Research and Development Fund, 2022. http://dx.doi.org/10.32747/2022.8134144.bard.
Narenda, Kumpati S. Decentralized Control and Decentralized Adaptive Control. Fort Belvoir, VA: Defense Technical Information Center, giugno 2006. http://dx.doi.org/10.21236/ada454926.
Friedlander, B. Adaptive Decentralized Control. Fort Belvoir, VA: Defense Technical Information Center, aprile 1985. http://dx.doi.org/10.21236/ada160187.
Ozguner, U. Relegation for Decentralized Control. Fort Belvoir, VA: Defense Technical Information Center, febbraio 1993. http://dx.doi.org/10.21236/ada265720.
Chechetka, Anton, e Katia Sycara. A Decentralized Variable Ordering Method for Distributed Constraint Optimization. Fort Belvoir, VA: Defense Technical Information Center, maggio 2005. http://dx.doi.org/10.21236/ada598539.
Marcus, Steven I. Research in Adaptive and Decentralized Stochastic Control. Fort Belvoir, VA: Defense Technical Information Center, gennaio 1986. http://dx.doi.org/10.21236/ada168752.
Marcus, Steven I. Research in Adaptive and Decentralized Stochastic Control. Fort Belvoir, VA: Defense Technical Information Center, maggio 1985. http://dx.doi.org/10.21236/ada170657.
Rhoades, George H. Decentralized Command and Control -- Reality or Myth. Fort Belvoir, VA: Defense Technical Information Center, gennaio 1990. http://dx.doi.org/10.21236/ada220606.
Morse, A. S. Intelligent Distributed Control. Fort Belvoir, VA: Defense Technical Information Center, agosto 2012. http://dx.doi.org/10.21236/ada567139.
Sheets, Patrick J. Remembering the Future of Centralized Control-Decentralized Execution. Fort Belvoir, VA: Defense Technical Information Center, aprile 2003. http://dx.doi.org/10.21236/ada424622.