Relevant bibliographies by topics / Distributed or decentralized control

Academic literature on the topic 'Distributed or decentralized control'

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Published: 8 June 2024

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Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Journal articles on the topic "Distributed or decentralized control":

1

Mittasch, Christian, Thomas Weise, and Margret Hesselmann. "Decentralized control structures for distributed workflow applications." Integrated Computer-Aided Engineering 7, no. 4 (October 1, 2000): 327–41. http://dx.doi.org/10.3233/ica-2000-7405.

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Kammer, Christoph, and Alireza Karimi. "Decentralized and Distributed Transient Control for Microgrids." IEEE Transactions on Control Systems Technology 27, no. 1 (January 2019): 311–22. http://dx.doi.org/10.1109/tcst.2017.2768421.

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Miltchev, Stefan, Jonathan M. Smith, Vassilis Prevelakis, Angelos Keromytis, and Sotiris Ioannidis. "Decentralized access control in distributed file systems." ACM Computing Surveys 40, no. 3 (August 2008): 1–30. http://dx.doi.org/10.1145/1380584.1380588.

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Lin, Weixuan, and Eilyan Bitar. "Decentralized Stochastic Control of Distributed Energy Resources." IEEE Transactions on Power Systems 33, no. 1 (January 2018): 888–900. http://dx.doi.org/10.1109/tpwrs.2017.2700472.

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Botchkaryov, A. "METHOD FOR DECENTRALIZED CONTROL OF ADAPTIVE DATA COLLECTION PROCESSES IN AUTONOMOUS DISTRIBUTED SYSTEMS." Computer systems and network 5, no. 1 (December 16, 2023): 8–19. http://dx.doi.org/10.23939/csn2023.01.008.

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The problem of monitoring a computer network under conditions of limitations on the use of system resources and high requirements for the survivability of the monitoring system has been considered. An autonomous decentralized computer network monitoring system has been developed, consisting of a team of software agents. Each agent can operate in two modes: main mode and monitoring system management console mode. In the main mode, the agent collects information about the computer network. In management console mode, the agent provides the user with access to information collected by all agents and allows the user to execute commands to manage the monitoring system. The developed monitoring system allows you to obtain more reliable information about the operation of the network with greater efficiency under the conditions of limitations on the use of system resources specified by the user. The autonomous monitoring system is created on the basis of the concept of multi-agent systems, within which a software agent of the system has some initiative for planning and implementing monitoring scenarios. The operation of software agents implements methods for organizing adaptive processes for collecting information using the principles of self-organization and the concept of structural adaptation. A decentralized software architecture for an autonomous monitoring system without a control center has been proposed. This ensures high reliability and survivability of the monitoring system. The software architecture of the autonomous monitoring system implements the SMA application software interface and the corresponding software library, which allows you to collect statistical data on the operation of the computer network and its nodes. The implementation of a software agent and a management console for an autonomous computer network monitoring system has been considered. Key words: computer network monitoring, autonomous system, decentralized control, software agent
6

Skandylas, Charilaos, Narges Khakpour, and Jesper Andersson. "AT-DIFC + : Toward Adaptive and Trust-Aware Decentralized Information Flow Control." ACM Transactions on Autonomous and Adaptive Systems 15, no. 4 (December 31, 2020): 1–35. http://dx.doi.org/10.1145/3487292.

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Modern software systems and their corresponding architectures are increasingly decentralized, distributed, and dynamic. As a consequence, decentralized mechanisms are required to ensure security in such architectures. Decentralized Information Flow Control (DIFC) is a mechanism to control information flow in distributed systems. This article presents and discusses several improvements to an adaptive decentralized information flow approach that incorporates trust for decentralized systems to provide security. Adaptive Trust-Aware Decentralized Information Flow (AT-DIFC + ) combines decentralized information flow control mechanisms, trust-based methods, and decentralized control architectures to control and enforce information flow in an open, decentralized system. We strengthen our approach against newly discovered attacks and provide additional information about its reconfiguration, decentralized control architectures, and reference implementation. We evaluate the effectiveness and performance of AT-DIFC + on two case studies and perform additional experiments and to gauge the mitigations’ effectiveness against the identified attacks.
7

Anderson, B., and A. Linnemann. "Control of decentralized systems with distributed controller complexity." IEEE Transactions on Automatic Control 32, no. 7 (July 1987): 625–29. http://dx.doi.org/10.1109/tac.1987.1104669.

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8

Yasuda, Keiichiro, Yoshihisa Tabuchi, and Tsunayoshi Ishii. "Decentralized Autonomous Control of Super Distributed Energy Systems." Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications 2005 (May 5, 2005): 297–302. http://dx.doi.org/10.5687/sss.2005.297.

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Laengle, Th, and T. C. Lueth. "Decentralized control of distributed intelligent robots and subsystems." Annual Review in Automatic Programming 19 (January 1994): 281–86. http://dx.doi.org/10.1016/0066-4138(94)90079-5.

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ANDRUSEAC, Gabriel-Ciprian, and Lucian-Alexandru TĂTULEA. "CENTRALIZED CONTROL OR DISTRIBUTED CONTROL – DO WE NEED A PARADIGM SHIFT?" INTERNATIONAL SCIENTIFIC CONFERINCE "STRATEGIESXXI" 18, no. 1 (December 6, 2022): 162–70. http://dx.doi.org/10.53477/2971-8813-22-19.

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The centralized control and decentralized execution is one of the basic tenets of air power command and control, a tenet that has proven its importance and usefulness throughout history. The development of electronic and cyber warfare capabilities, space, surface-to-air missile systems and A2/AD (anti-access/area interdiction) strategies create contested operational environments that limit traditional concepts of command and control (C2) in the effective employment of air forces. The new US Air Force Doctrine, “Air Force Doctrine Publication 1 – The Air Force”, formally establishes mission command as the philosophy for command and control (C2) airpower and centralized command, distributed control, and decentralized execution the way to be implemented. Conducting air operations in a contested operational environment requires an approach to command-and-control principles that responds to threats to communications and attacks on air operations centres. Distributed control exploits the flexibility and versatility of air power to ensure that it remains responsive, survivable, and sustainable, especially in a contested environment. The benefits associated with distributed control (as well as decentralized execution) are maximized when the commander's intent is clearly communicated and guides subordinate actions, in order to allow continuity of operations. Commanders will continue to face the challenge of harmonising centralization, distribution and decentralization, a struggle that will be situation dependent and that requires an approach within the guidance of the higher echelon.
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Journal articles Dissertations / Theses Books

Dissertations / Theses on the topic "Distributed or decentralized control":

1

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.

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Environmental targets set by governments around the world are leading to high penetrations of small to medium-scale renewable distributed generation (DG). High penetration of DG in distribution networks, however, can result in voltage and thermal issues among other technical problems. The traditional 'Fit & Forget' approach that refers to the passive use of assets with limited or no control, in the context of distribution network planning, is used to meet maximum demand or generation requirements. However, to ensure that more renewable generation is cost-effectively connected to distribution networks, it is imperative to adopt a more active control of network elements and participants. The active control of future distribution networks requires understanding the corresponding dependencies between voltage magnitudes and DG active/reactive power outputs to mitigate voltage issues. One classical method to calculate these dependencies is to use sensitivity approaches such as those based on the Jacobian matrix. However, during operation, updating the Jacobian matrix requires the network to be fully observable making it unfeasible for decentralized control approaches. Therefore, it is critical to develop a sensitivity approach only requiring local real-time information. This thesis proposes a novel approach to produce voltage sensitivity coefficients using the surface fitting technique based solely on knowledge of network characteristics and, therefore, no remote monitoring is required. To assess the performance of the proposed voltage sensitivity approach, a decentralized (local) voltage control algorithm that simultaneously caters for both the active and reactive power outputs of a single DG plant is adopted. Comparisons with classical sensitivity approaches are carried out using the 16-bus UK GDS test network, 1-min resolution demand and wind generation data. Persistence forecasting (i.e., assuming no changes in demand and wind in a short time period) is considered in this case. The lower Mean Squared Error (MSE) shows that the coefficients of the proposed sensitivity approach are close to those of the Jacobian matrix and better than the perturb-and-observe approach. In the context of voltage management, results highlight that the proposed sensitivity approach is more effective than the Jacobian matrix inverse and perturb-and-observe, resulting in better voltage compliance and energy harvesting (better capacity factor). It should be highlighted that this performance is achieved without the need of full network observability. Furthermore, to cater for the more realistic and complex case of multiple DG plants, this thesis proposes a time-delay based decentralized control algorithm. A comparison with an ideal AC Optimal Power Flow (OPF) is carried out using the same 16-bus UK GDS network but with seven DG plants. The results demonstrate that the proposed sensitivity approach and time delays are very effective when compared to the AC OPF. This, in turn, proves that the combined use of the proposed voltage sensitivity approach and the decentralized controller is an implementable, cost-effective solution to manage DG plants in distribution networks without the need of further communication infrastructure. Finally, a decentralized DG control logic with the capability of using wind forecasting techniques is proposed to tackle the unpredictable nature of wind power. In this work, a time-series based forecasting technique is incorporated to the proposed decentralized controller. The results confirm that the use of more advanced forecasting technique can further improve the management of renewable DG plants.
2

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.

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A spacecraft formation possesses several benefits over a single-satellite mission. However, launching a fleet of satellites is a high-cost, high-risk venture. One way to mitigate much of this risk is to demonstrate hardware and algorithm performance in groundbased testbeds. It is typically difficult to experimentally replicate satellite dynamics in an Earth-bound laboratory because of the influences of gravity and friction. An air bearing provides a very low-torque environment for experimentation, thereby recapturing the freedom of the space environment as effectively as possible. Depending upon con- figuration, air-bearing systems provide some combination of translational and rotational freedom; the three degrees of rotational freedom provided by a spherical air bearing are ideal for investigation of spacecraft attitude dynamics and control problems. An interest in experimental demonstration of formation flying led directly to the development of the Distributed Spacecraft Attitude Control System Simulator (DSACSS). The DSACSS is a unique facility, as it uses two air-bearing platforms working in concert. Thus DSACSS provides a pair of "spacecraft" three degrees of attitude freedom each. Through use of the DSACSS we are able to replicate the relative attitude dynamics between nodes of a formation such as might be required for co-observation of a terrestrial target. Many dissertations present a new mathematical technique or prove a new theory. This dissertation presents the design and development of a new experimental system. Although the DSACSS is not yet fully operational, a great deal of work has gone into its development thus far. This work has ranged from configuration design to nonlinear analysis to structural and electrical manufacturing. In this dissertation we focus on the development of the attitude determination subsystem. This work includes development of the equations of motion and analysis of the sensor suite dynamics. We develop nonlinear filtering techniques for data fusion and attitude estimation, and extend this problem to include estimation of the mass properties of the system. We include recommendations for system modifications and improvements.
Ph. D.
3

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.

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Distributed generation of electric energy has become part of the current electric power system. In this context a new scenario is arising in which small energy sources make up a new supply system: The microgrid.

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.
4

Cao, Yongcan. "Decentralized Coordination of Multiple Autonomous Vehicles." DigitalCommons@USU, 2010. https://digitalcommons.usu.edu/etd/652.

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This dissertation focuses on the study of decentralized coordination algorithms of multiple autonomous vehicles. Here, the term decentralized coordination is used to refer to the behavior that a group of vehicles reaches the desired group behavior via local interaction. Research is conducted towards designing and analyzing distributed coordination algorithms to achieve desired group behavior in the presence of none, one, and multiple group reference states. Decentralized coordination in the absence of any group reference state is a very active research topic in the systems and controls society. We first focus on studying decentralized coordination problems for both single-integrator kinematics and double-integrator dynamics in a sampled-data setting because real systems are more appropriate to be modeled in a sampled-data setting rather than a continuous setting. Two sampled-data consensus algorithms are proposed and the conditions to guarantee consensus are presented for both fixed and switching network topologies. Because a number of coordination algorithms can be employed to guarantee coordination, it is important to study the optimal coordination problems. We further study the optimal consensus problems in both continuous-time and discrete-time settings via an linear-quadratic regulator (LQR)-based approach. Noting that fractional-order dynamics can better represent the dynamics of certain systems, especially when the systems evolve under complicated environment, the existing integer-order coordination algorithms are extended to the fractional-order case. Decentralized coordination in the presence of one group reference state is also called coordinated tracking, including both consensus tracking and swarm tracking. Consensus tracking refers to the behavior that the followers track the group reference state. Swarm tracking refers to the behavior that the followers move cohesively with the external leader while avoiding inter-vehicle collisions. In this part, consensus tracking is studied in both discrete-time setting and continuous-time settings while swarm tracking is studied in a continuous-time setting. Decentralized coordination in the presence of multiple group reference states is also called containment control, where the followers will converge to the convex hull, i.e., the minimal geometric space, formed by the group references states via local interaction. In this part, the containment control problem is studied for both single-integrator kinematics and double-integrator dynamics. In addition, experimental results are provided to validate some theoretical results.
5

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.

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de, Azevedo Ricardo. "Fully Decentralized Multi-Agent System for Optimal Microgrid Control." FIU Digital Commons, 2016. http://digitalcommons.fiu.edu/etd/2461.

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In preparation for the influx of renewable energy sources that will be added to the electrical system, flexible and adaptable control schemes are necessary to accommodate the changing infrastructure. Microgrids have been gaining much attention as the main solution to the challenges of distributed and intermittent generation, but due to their low inertia, they need fast-acting control systems in order to maintain stability. Multi-Agent Systems have been proposed as dynamic control and communication frameworks. Decentralized arrangements of agents can provide resiliency and the much-desired “plug and play” behavior. This thesis describes a control system that implements droop control and the diffusion communication scheme without the need of a centralized controller to coordinate the Microgrid agents to maintain the frequency and stable operating conditions of the system. Moreover, the inter-agent communication is unaffected by changing network configurations and can achieve optimal economic dispatch through distributed optimization.
7

Calabria, Mauro [Verfasser], and 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.

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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.

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This thesis presents two sets of principles for the organisation of distributed computing systems. Details of models of computation based on these principles are together given, with proposals for programming languages based on each model of computation. The recursive control flow principles are based on the concept of recursive control flow computing system structuring. A recursive comprises a group of subordinate computing systems connected together by Each subordinate computing system may either be a communications medium. which a a computing system consists of a processing unit, memory some is itself a recursive component, and input/output devices, or computing components control flow system. The memory of all the computing systems within a recursive control flow computing subordinate system are arranged in a hierarchy. Using suitable addresses, any part of the hierarchy is accessible to any sequence of instructions which may be executed by the processing unit of a subordinate computing system. This rise to serious difficulties in the global accessibility gives understanding of programs written the meaning of in a programming language recursive control flow on the model of computation. based Reasoning about a particular program in isolation is difficult because of the potential interference between the execution different programs cannot be ignored . alternative principles, decentralised control flow, restrict the The accessibility of subordinate global the memory components of the computing The basis of the concept of objects forms the systems. principles. Information channels may flow along unnamed between instances of these objects, this being the only way in which one instance of an object may communicate with some other instance of an object. Reasoning particular program written in a programming language about a based on the decentralised control flow model of computation is easier since it is that there will be no interference between the guaranteed execution of different programs.
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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.

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Les travaux de cette thèse portent sur la synthèse et l'analyse d'algorithmes de synchronisation pour des systèmes multi-agents avec une dynamique linéaire. Par synchronisation, nous voulons que les états de tous les agents évoluent sur la même trajectoire à partir d'un certain temps. En prenant en compte des contraintes de communication, nous proposons des architectures de commandes décentralisées, c.-à-d. qui n'utilisent que des informations locales. Dans une première partie, nous nous inspirons de la théorie des jeux pour proposer une loi de commande considérant un coût individuel de satisfaction par agent. Afin de faciliter l'analyse, le problème de synchronisation est d'abord reformulé en un problème de stabilisation. Ensuite, des conditions données sous forme d'inégalités matricielles linéaires permettent de vérifier si un profil de gains correspond un équilibre de satisfaction ou non. Un ensemble de gains est un équilibre de satisfaction lorsque le coût individuel de chaque agent est borné par un seuil donné. La seconde partie consacrée aux réseaux avec des clusters, se base sur la théorie des systèmes singulièrement perturbés pour présenter une loi de commande plus axée sur des réseaux de grandes envergures. L'objectif est de fournir une méthode efficace en termes de calcul pour concevoir des stratégies de contrôle qui garantissent une certaine limite sur le coût de chaque cluster. En utilisant une méthode de séparation d'échelles de temps, la conception de la loi de commande est séparée en deux parties: une commande interne et une commande externe. Leurs conceptions se font indépendamment l'une de l'autre et tend à réduire les charges de calculs. De plus, nous montrons que la commande interne n'affecte le coût du cluster que pendant une courte période de temps
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
10

Keppmann, Felix Leif [Verfasser], and 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.

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Books on the topic "Distributed or decentralized control":

1

T, Leondes Cornelius, ed. Decentralized/distributed control and dynamic systems. Orlando: Academic Press, 1985.

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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.

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Oliynykov, Roman, Oleksandr Kuznetsov, Oleksandr Lemeshko, and Tamara Radivilova, eds. Information Security Technologies in the Decentralized Distributed Networks. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-95161-0.

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S̆iljak, Dragoslav D. Decentralized control of complex systems. Boston: Academic Press, 1990.

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Siljak, Dragoslav D. Decentralized control of complex systems. Mineola, N.Y: Dover Publications, 2012.

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Siljak, Dragoslav D. Decentralized control of complex systems. Boston: Academic Press, 1991.

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Guo, Yi. Distributed Cooperative Control. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2017. http://dx.doi.org/10.1002/9781119216131.

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Nocetti, D. Fabian Garcia. Reconfigurable distributed control. London: Springer, 2005.

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Benitez-Pérez, Héctor. Reconfigurable distributed control. London, UK: Springer, 2004.

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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.

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Book chapters on the topic "Distributed or decentralized control":

1

Kelbert, Florian, and 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.

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Zhang, Chun, and 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.

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Panerati, Jacopo, Benjamin Ramtoula, David St-Onge, Yanjun Cao, Marcel Kaufmann, Aidan Cowley, Lorenzo Sabattini, and 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.

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Papastaikoudis, Ioannis, and 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.

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Charalambous, C. D., and 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.

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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.

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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.

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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.

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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.

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Wonham, W. Murray, and 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.

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Conference papers on the topic "Distributed or decentralized control":

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Berg, T. M., and 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.

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Berg, T. M., and 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.

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Yin, Xunyuan, Jing Zeng, and 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.

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Pandya, Nishit V., Himanshu Kumar, Gokulnath M. Pillai, and 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.

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Ramesh, Reethika, Ram Sundara Raman, Matthew Bernhard, Victor Ongkowijaya, Leonid Evdokimov, Anne Edmundson, Steven Sprecher, Muhammad Ikram, and 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.

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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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Abstract:
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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Feng, Xiaowen, Pengcheng Deng, Yanzi Yi, Qi Yu, Decun Luo, Hua Deng, and 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.

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Chu Cheong, Matthew K., Haiya Qian, Julia Conger, Dongmei Chen, and 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.

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Microgrids are small-scale power networks where distributed generation and inverter interfaced power sources are common. These networks are faced with more significant control challenges; a smaller system can less effectively dampen and distribute power disturbances or fluctuations, and the system frequency is less robust without synchronous generators to provide rotational inertia. In this paper we will develop optimal control algorithms to control the voltage and frequency in an islanded inverter-based microgrid. The voltages and frequency of this system are controlled using decentralized ℋ∞ control. The decentralized controllers operate using only local data, making the control methodolgy scalable. In addition, the studied controllers can be tuned to achieve the desired transient behavior. For voltage and frequency control of microgrids, transient performance is still an area of weakness. The proposed control scheme extends optimal control to the field of microgrid control and can improve the state of microgrid technology.
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Overstreet, Jamahl, Farshad Khorrami, and 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.

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Ozguner, Umit, and 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.

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Reports on the topic "Distributed or decentralized control":

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Friedler, Eran, and 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.

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Irrigating crops with reclaimed wastewater, replacing potable water, using drip irrigation has become more common as demands on water supplies have increased. Because of the quality characteristics of treated wastewater, the small size and geometry of drip emitters, and flow characteristics though the emitters, systems can become clogged for physical and biological reasons. Emitters clogging reduces flow and increases the variability of flows between emitters that can lead to crops water stress and thus reduce crop yield. Clogged systems require more energy or more labor- and chemical-intensive maintenance and cleaning, such as with chlorine. Ultraviolet (UV) irradiation, and specifically UV-C (200-300 nm) light emitting diodes (LEDs) have great promise for disinfection and biofouling prevention in irrigation water systems. LEDs are particularly well-suited for decentralized use in drip irrigation systems due to their small size, robust construction, low power requirements, long life, and intermittent operation capability. The main goal of this research was to study and develop UV-LED irradiation technology for reducing biofouling of drip irrigation fed by treated effluent, and to explore whether locating the UV-LEDs along the irrigation line as an integral part of the system could be advantageous.
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Narenda, Kumpati S. Decentralized Control and Decentralized Adaptive Control. Fort Belvoir, VA: Defense Technical Information Center, June 2006. http://dx.doi.org/10.21236/ada454926.

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Friedlander, B. Adaptive Decentralized Control. Fort Belvoir, VA: Defense Technical Information Center, April 1985. http://dx.doi.org/10.21236/ada160187.

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Ozguner, U. Relegation for Decentralized Control. Fort Belvoir, VA: Defense Technical Information Center, February 1993. http://dx.doi.org/10.21236/ada265720.

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Chechetka, Anton, and Katia Sycara. A Decentralized Variable Ordering Method for Distributed Constraint Optimization. Fort Belvoir, VA: Defense Technical Information Center, May 2005. http://dx.doi.org/10.21236/ada598539.

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Marcus, Steven I. Research in Adaptive and Decentralized Stochastic Control. Fort Belvoir, VA: Defense Technical Information Center, January 1986. http://dx.doi.org/10.21236/ada168752.

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Marcus, Steven I. Research in Adaptive and Decentralized Stochastic Control. Fort Belvoir, VA: Defense Technical Information Center, May 1985. http://dx.doi.org/10.21236/ada170657.

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Rhoades, George H. Decentralized Command and Control -- Reality or Myth. Fort Belvoir, VA: Defense Technical Information Center, January 1990. http://dx.doi.org/10.21236/ada220606.

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Morse, A. S. Intelligent Distributed Control. Fort Belvoir, VA: Defense Technical Information Center, August 2012. http://dx.doi.org/10.21236/ada567139.

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Sheets, Patrick J. Remembering the Future of Centralized Control-Decentralized Execution. Fort Belvoir, VA: Defense Technical Information Center, April 2003. http://dx.doi.org/10.21236/ada424622.

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