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Статті в журналах з теми "Distributed or decentralized control"

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Автор: Grafiati

Опубліковано: 8 червня 2024

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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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2

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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3

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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4

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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5

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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9

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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10

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.

11

Zhao, Sipei. "Analysis of distributed active noise control systems." Journal of the Acoustical Society of America 154, no. 4_supplement (October 1, 2023): A122. http://dx.doi.org/10.1121/10.0022988.

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Active noise control technology has witnessed a great success in the past decades for local noise control in headsets and similar devices. However, many challenges are yet to be tackled for active control of noise over a large spatial region, where multichannel systems are needed. One of the significant issues is the high computational complexity of multichannel adaptive algorithms running on a centralized processor. To overcome this problem, distributed and decentralized adaptation strategies have been proposed to spread the computational burden over multiple processors recently. This paper will review existing distributed and decentralized active noise control systems based on the filtered-reference least mean square algorithms and analyze their convergence behavior under a unified framework. The convergence conditions in the mean and mean-square sense are studied and the transient and stead-state mean square errors are also analyzed. Simulations are performed to verify the proposed framework and analysis. This work will provide insights into current distributed active noise control systema and shed light on developing new algorithm design in the future.

12

Sha’aban, Yusuf Abubakar. "Distributed Control of an Ill-Conditioned Non-Linear Process Using Control Relevant Excitation Signals." Processes 11, no. 12 (November 29, 2023): 3320. http://dx.doi.org/10.3390/pr11123320.

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Efficient control schemes for ill-conditioned systems, such as the high-purity distillation column, can be challenging and costly to design and implement. In this paper, we propose a distributed control scheme that utilizes well-designed excitation signals to identify the system. Unlike traditional systems, we found that a summation of correlated and uncorrelated signals can yield better excitation of the plant. Our proposed distributed model predictive control (MPC) scheme uses a shifted input sequence to address loop interactions and reduce the computational load. This approach deviates from traditional schemes that use iteration, which can increase complexity and computational load. We initially tested the proposed method on the linear model of a highly coupled 2 × 2 process and compared its performance with decentralized proportional-integral-derivative (PID) controllers and centralized MPC. Our results show improved performance over PID controllers and similar results to centralized MPC. Furthermore, we compared the performance of the proposed approach with a centralized MPC on a nonlinear model of a distillation column. The results for the second study also demonstrated comparable performance between the two controllers with the decentralised control slightly outperforming the centralised MPC in some cases. These findings are promising and may be of interest to practitioners that are more comfortable with tuning decentralised loops.

13

Cao, Kecai, YangQuan Chen, and Chenglin Liu. "Evacuation Control of Crowds of Pedestrians: Distributed or Decentralized?" IFAC-PapersOnLine 53, no. 5 (2020): 318–23. http://dx.doi.org/10.1016/j.ifacol.2021.04.109.

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14

Yasuda, Keiichiro, and Tsunayoshi Ishii. "Hierarchical decentralized autonomous control in super-distributed energy systems." IEEJ Transactions on Electrical and Electronic Engineering 2, no. 1 (2006): 63–71. http://dx.doi.org/10.1002/tee.20099.

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15

Ishii, Tsunayoshi, and Keiichiro Yasuda. "Hierarchical decentralized autonomous control of super-distributed energy systems." IEEJ Transactions on Electrical and Electronic Engineering 2, no. 1 (2006): v—vi. http://dx.doi.org/10.1002/tee.20112.

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16

Rehman, Anis ur, Muhammad Ali, Sheeraz Iqbal, Aqib Shafiq, Nasim Ullah, and Sattam Al Otaibi. "Artificial Intelligence-Based Control and Coordination of Multiple PV Inverters for Reactive Power/Voltage Control of Power Distribution Networks." Energies 15, no. 17 (August 29, 2022): 6297. http://dx.doi.org/10.3390/en15176297.

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The integration of Renewable Energy Resources (RERs) into Power Distribution Networks (PDN) has great significance in addressing power deficiency, economics and environmental concerns. Photovoltaic (PV) technology is one of the most popular RERs, because it is simple to install and has a lot of potential. Moreover, the realization of net metering concepts further attracted consumers to benefit from PVs; however, due to ineffective coordination and control of multiple PV systems, power distribution networks face large voltage deviation. To highlight real-time control, decentralized and distributed control schemes are exploited. In the decentralized scheme, each zone (having multiple PVs) is considered an agent. These agents have zonal control and inter-zonal coordination among them. For the distributed scheme, each PV inverter is viewed as an agent. Each agent coordinates individually with other agents to control the reactive power of the system. Multi-agent actor-critic (MAAC) based framework is used for real-time coordination and control between agents. In the MAAC, an action is created by the actor network, and its value is evaluated by the critic network. The proposed scheme minimizes power losses while controlling the reactive power of PVs. The proposed scheme also maintains the voltage in a certain range of ±5%. MAAC framework is applied to the PV integrated IEEE-33 test bus system. Results are examined in light of seasonal variation in PV output and time-changing loads. The results clearly indicate that a controllable voltage ratio of 0.6850 and 0.6508 is achieved for the decentralized and distributed control schemes, respectively. As a result, voltage out of control ratio is reduced to 0.0275 for the decentralized scheme and 0.0523 for the distributed control scheme.

17

Fishov, Alexander, Anatoly Osintsev, Anvari Ghulomzoda, Andrey Marchenko, Sergey Kokin, Murodbek Safaraliev, Stepan Dmitriev, and Inga Zicmane. "Decentralized Emergency Control of AC Power Grid Modes with Distributed Generation." Energies 16, no. 15 (July 25, 2023): 5607. http://dx.doi.org/10.3390/en16155607.

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Large-scale development of small-scale generation, and facilities based on this, with their integration into existing distribution networks, qualitatively change the modes and tasks of network management and transform previously passive electric networks into active ones. Features of parameters and modes of small-scale generation, insufficient observability and manageability in centralized management determine the need to use a decentralized multi-agent control of the modes of such networks. First of all, this applies to emergency management, which includes automatic restoration of the integrity and normal operation of the network. This paper presents a set of specialized methods for emergency management of active power grid modes and the results of a study of their effectiveness on mathematical and physical models that confirm the feasibility of using decentralized emergency management and network recovery management. In particular, this includes: a method of emergency proactively balanced separation of grid energy districts along one of the a priori fixed network cross-sections in the event of disturbances with the transition to island mode, and a method for two-stage restoration of the integrity and normal network mode with decentralized synchronization of active parts on remote network switches. In the case of the decentralized remote synchronization of active parts, it is proposed to use special control of the excitation and speed of generators to create conditions for the successful operation of automatic reclosing devices with synchronization detection. It is essential for emergency management in active networks with small generation to reject the concept of ensuring the reliability of power supply through maintaining the integrity of the network in favor of the concept of an emergency-balanced breakdown of the network into balanced areas with the subsequent automatic restoration of integrity. To conduct research on the physical model, a prototype of distributed system emergency automation has been developed that does not use data transmission tools, which ensures its high cybersecurity and the feasibility of decentralized management.

18

Jangid, Satish Kumar, Jaimine Vaishnav, Ezhilarasan Ganesan, and Shweta Singh. "Control techniques for microgrids networks with energy storage systems: An overview." Multidisciplinary Reviews 6 (April 27, 2024): 2023ss064. http://dx.doi.org/10.31893/multirev.2023ss064.

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Microgrids (MG) are localized, self-sufficient energy networks which utilize distributed energy sources to improve dependability, resiliency and long-term viability in decentralized energy production. Network Energy Storage Systems (ESS) have been recognized as critical facilitators within the transitioning from the conventional centralized power system into a sophisticated, self-sustaining, as well as decentralized systems based on renewable energies. Controlling distributed energy storage entails coordinating the administration of several lesser energy storages, which are generally integrated in MGAs consequence, there have been an increase in fascination with regulating elements of sharing power balance and sustainable development, boosting the system's resilience including dependability, along with maintaining a distribution State of charge (SoC). The present research provides a detailed overview of decentralized, centralized, multiagent, and intelligent controlling techniques for managing and regulating distributed energy storages. It also illustrates a possible range of functions which the storages might supply, as well as the controlling challenges and recommended solutions. This research major purpose is to represent current breakthroughs in digitalization by focusing on controlling techniques that depend on multiagent communications.

19

Hammad, Muhammad, Jawaid Iqbal, Ch Anwar ul Hassan, Saddam Hussain, Syed Sajid Ullah, Mueen Uddin, Urooj Ali Malik, Maha Abdelhaq, and Raed Alsaqour. "Blockchain-Based Decentralized Architecture for Software Version Control." Applied Sciences 13, no. 5 (February 27, 2023): 3066. http://dx.doi.org/10.3390/app13053066.

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Version control is an important component of configuration management, and most enterprise-level software uses different tools and technologies to manage the software version control such as CVS, Subversion, or Perforce. Following the success of bitcoin, the first practical application of blockchain, it is being implemented in other fields such as healthcare, supply chains, financial management, real estate, electoral systems, and so on. Blockchain’s core features include decentralization, immutability, and interminability. Most version control repositories are centralized and can be modified by external sources, implying that they are in danger of being corrupted or controlled. In this study, we present the BDA-SCV architecture for implementing a version control system in blockchain technology. Our proposed approach would replace the necessity for a centralized system, with a decentralized approach implemented in the blockchain using distributed file storage, for which we will use the InterPlanetary File System (IPFS), which is a distributed file system. The proof of authority (PoA) consensus algorithm will be used to approve the developer communicating modifications to the private blockchain network; the authority will only provide permission and will not be able to add, edit, or delete code files. For each change, a ledger block will be created with a reference to the file stored in the distributed repository. A block cannot be manipulated once it has been created. Smart contracts will be used to register developers, create blocks, and manage the repository. The suggested model is implemented using the Hyperledger Fabric network, and the developer and authorizer ends are built into the dotnet web application.

20

Shen, Lin, Yue Chao, and Xuejun Ma. "Distributed quantile regression in decentralized optimization." Information Sciences 643 (September 2023): 119259. http://dx.doi.org/10.1016/j.ins.2023.119259.

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21

Xu, Shiyun, Huadong Sun, Zhanqiang Zhang, Qiang Guo, Bin Zhao, Jingtian Bi, and Bo Zhang. "MAS-Based Decentralized Coordinated Control Strategy in a Micro-Grid with Multiple Microsources." Energies 13, no. 9 (April 30, 2020): 2141. http://dx.doi.org/10.3390/en13092141.

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In this paper, a decentralized coordinated control method based on multi-agent system is proposed to improve the voltage stability of micro-grid. In lower-level agents, the decentralized control is designed as double-loop controllers for the inverter of each distributed energy resource, including an outer-loop power controller based on droop control and an inner-loop voltage/current controller based on fractional order proportion-integral-derivative (PID). In upper-level agents, the distributed coordinated control is designed to make voltage consensus and proportional power sharing of all distributed energy resources. Since each distributed coordinated control only requires its own and neighboring information, the communication bandwidth can be saved. The simulation results have verified the effectiveness in terms of power sharing, voltage stability, and suppressing circulation current.

22

Fragkos, Georgios, Jay Johnson, and Eirini Eleni Tsiropoulou. "Centralized and Decentralized Distributed Energy Resource Access Control Implementation Considerations." Energies 15, no. 17 (September 1, 2022): 6375. http://dx.doi.org/10.3390/en15176375.

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A global transition to power grids with high penetrations of renewable energy generation is being driven in part by rapid installations of distributed energy resources (DER). New DER equipment includes standardized IEEE 1547-2018 communication interfaces and proprietary communications capabilities. Interoperable DER provides new monitoring and control capabilities. The existence of multiple entities with different roles and responsibilities within the DER ecosystem makes the Access Control (AC) mechanism necessary. In this paper, we introduce and compare two novel architectures, which provide a Role-Based Access Control (RBAC) service to the DER ecosystem’s entities. Selecting an appropriate RBAC technology is important for the RBAC administrator and users who request DER access authorization. The first architecture is centralized, based on the OpenLDAP, an open source implementation of the Lightweight Directory Access Protocol (LDAP). The second approach is decentralized, based on a private Ethereum blockchain test network, where the RBAC model is stored and efficiently retrieved via the utilization of a single Smart Contract. We have implemented two end-to-end Proofs-of-Concept (PoC), respectively, to offer the RBAC service to the DER entities as web applications. Finally, an evaluation of the two approaches is presented, highlighting the key speed, cost, usability, and security features.

23

Sauter, Dominique, Taha Boukhobza, Hamelin Frédéric, and Didier Theilliol. "Decentralized and Autonomous Design for FDI of Distributed Control Systems." IFAC Proceedings Volumes 42, no. 23 (2009): 213–18. http://dx.doi.org/10.3182/20091014-3-cl-4011.00039.

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24

Sartoretti, Guillaume, William Paivine, Yunfei Shi, Yue Wu, and Howie Choset. "Distributed Learning of Decentralized Control Policies for Articulated Mobile Robots." IEEE Transactions on Robotics 35, no. 5 (October 2019): 1109–22. http://dx.doi.org/10.1109/tro.2019.2922493.

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25

Cai, Ning, Roberto Sabatini, Xi-Wang Dong, M. Junaid Khan, and Yao Yu. "Decentralized Modeling, Analysis, Control, and Application of Distributed Dynamic Systems." Journal of Control Science and Engineering 2016 (2016): 1–2. http://dx.doi.org/10.1155/2016/8985017.

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26

Zheng, Yang, Maryam Kamgarpour, Aivar Sootla, and Antonis Papachristodoulou. "Distributed Design for Decentralized Control Using Chordal Decomposition and ADMM." IEEE Transactions on Control of Network Systems 7, no. 2 (June 2020): 614–26. http://dx.doi.org/10.1109/tcns.2019.2935618.

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27

Frampton, Kenneth D., Oliver N. Baumann, and Paolo Gardonio. "A comparison of decentralized, distributed, and centralized vibro-acoustic control." Journal of the Acoustical Society of America 128, no. 5 (November 2010): 2798–806. http://dx.doi.org/10.1121/1.3183369.

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28

Sadabadi, Mahdieh S., Alireza Karimi, and Houshang Karimi. "Fixed-order decentralized/distributed control of islanded inverter-interfaced microgrids." Control Engineering Practice 45 (December 2015): 174–93. http://dx.doi.org/10.1016/j.conengprac.2015.09.003.

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29

SASAKI, MOTOFUMI, YOSHIKAZU HAYAKAWA, and SEIZO FUJII. "Finite-dimensional decentralized adaptive control for interconnected distributed parameter systems." International Journal of Systems Science 22, no. 6 (June 1991): 955–68. http://dx.doi.org/10.1080/00207729108910674.

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30

Stursberg, Olaf, and Christian Hillmann. "Decentralized Optimal Control of Distributed Interdependent Automata With Priority Structure." IEEE Transactions on Automation Science and Engineering 14, no. 2 (April 2017): 785–96. http://dx.doi.org/10.1109/tase.2017.2669893.

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31

Shojaee, Milad, and S. Mohsen Azizi. "Decentralized Robust Control of a Network of Inverter-Based Distributed Generation Systems." Applied Sciences 13, no. 17 (August 22, 2023): 9517. http://dx.doi.org/10.3390/app13179517.

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This paper presents the design of decentralized robust controllers for a network of inverter-based distributed generation systems with LC filters in the scale of a nanogrid. Using overlapping decomposition, the network of inverters is clustered into several subnetworks such that all inverters within a subnetwork are strongly coupled and there is no or a weak coupling effect between any two inverters from different subnetworks. For the inverters within the same subnetwork, decentralized robust controllers are designed sequentially in the μ-synthesis framework. In addition, all controllers are designed to be robust against ±10% variations in the LC filter parameters. To assess the performance of the proposed sequentially-designed controllers and compare it to that of the benchmark independently-designed ones, the distances between two neighboring inverters from the same and different subnetworks are considered to be 200 (m) and 800 (m), respectively. In this case, time-response and robustness analysis results illustrate the superiority of the proposed sequentially-designed controllers in the overlapping decomposition framework over the benchmark independently-designed ones. Moreover, transient overload and nonlinear load analyses demonstrate that the proposed sequentially-designed decentralized controllers are able to keep the load voltage within ±10% of the nominal value and the harmonic voltage distortions to less than 4%.

32

Bouras, Mohammed Amine, Qinghua Lu, Fan Zhang, Yueliang Wan, Tao Zhang, and Huansheng Ning. "Distributed Ledger Technology for eHealth Identity Privacy: State of The Art and Future Perspective." Sensors 20, no. 2 (January 15, 2020): 483. http://dx.doi.org/10.3390/s20020483.

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Electronic healthcare (eHealth) identity management (IdM) is a pivotal feature in the eHealth system. Distributed ledger technology (DLT) is an emerging technology that can achieve agreements of transactional data states in a decentralized way. Building identity management systems using Blockchain can enable patients to fully control their own identity and provide increased confidence in data immutability and availability. This paper presents the state of the art of decentralized identity management using Blockchain and highlights the possible opportunities for adopting the decentralized identity management approaches for future health identity systems. First, we summarize eHealth identity management scenarios. Furthermore, we investigate the existing decentralized identity management solutions and present decentralized identity models. In addition, we discuss the current decentralized identity projects and identify new challenges based on the existing solutions and the limitations when applying it to healthcare as a particular use case.

33

Bouteraa, Yassine, Jawhar Ghommam, Gérard Poisson, and Nabil Derbel. "Distributed Synchronization Control to Trajectory Tracking of Multiple Robot Manipulators." Journal of Robotics 2011 (2011): 1–10. http://dx.doi.org/10.1155/2011/652785.

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This paper investigates the issue of designing decentralized control laws to cooperatively command a team of general fully actuated manipulators. The purpose is to synchronize their movements while tracking a common desired trajectory. Based on the well-known consensus algorithm, the control strategy consists in synchronizing the joint position and the velocity of each robot in the network with respect to neighboring robots' joints and velocities. Modeled by an undirected graph, the cooperative robot network requires just local neighbor-to-neighbor information exchange between manipulators. So, it does not assume the existence of an explicit leader in the team. Based above all on combination of Lyapunov direct method and cross-coupling strategy, the proposed decentralized control law is extended to an adaptive synchronization control taking into account parameter uncertainties. To address the time delay problems in the network communication channels, the suggested synchronization control law robustly synchronizes robots to track a given trajectory. To this end, Krasovskii functional method has been used to deal with the delay-dependent stability problem. A real-time software simulator is developed to visualize the robot manipulators coordination.

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Palmer, Michael, Masato Tachibana, Tomonobu Senjyu, Toshihisa Funabashi, Ahmed Y. Saber, and Manoj Datta. "Grid Stabilization with Decentralized Controllable Loads using Fuzzy Control and Droop Characteristics." International Journal of Emerging Electric Power Systems 15, no. 4 (August 1, 2014): 357–65. http://dx.doi.org/10.1515/ijeeps-2014-0022.

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Abstract In recent years, the amount of distributed generators in the power grid has increased. Most of these distributed generators are renewable energy facilities using wind turbine generators or photovoltaic power systems. The increase in distributed generators is mostly due to environmental issues, growing concern of resource depletion, and economic benefits for residents and homeowners. Along with the increase in distributed generators, all-electric apartment buildings and residential homes with electric vehicles are on the rise. This trend is beneficial for both the environment and the residents; however, the fluctuating power from renewable energy sources and unstable loads causes fluctuations in grid frequency and distributed voltage which become problematic. This paper presents a methodology to control system frequency and distributed voltage using distributed controllable loads such as the heat pump water heater (HP) and large capacity batteries such as those of the electric vehicle (EV). By applying a power consumption controller using decentralized control for heat pump water heaters and droop characteristics for batteries, fluctuations of grid frequency and voltage are suppressed to a desired value. In order to verify the effectiveness of the proposed system, MATLAB/Simulink is used for simulations.

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Ji, Xiaoxiang, Jianghong Li, Jiao Ren, and Yafeng Wu. "A Decentralized LQR Output Feedback Control for Aero-Engines." Actuators 12, no. 4 (April 6, 2023): 164. http://dx.doi.org/10.3390/act12040164.

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Aero-engine control systems generally adopt centralized or distributed control schemes, in which all or most of the tasks of the control system are mapped to a specific processor for processing. The performance and reliability of this processor have a significant impact on the control system. Based on the aero-engine distributed control system (DCS), we propose a decentralized controller scheme. The characteristic of this scheme is that a network composed of a group of nodes acts as the controller of the system, so that there is no core control processor in the system, and the computation is distributed throughout the entire network. An LQR output feedback control is constructed using system input and output, and the control tasks are executed on each node in the decentralized controller. The constructed LQR output feedback is equivalent to the optimal LQR state feedback. The primal-dual principle is used to tune the parameters of each decentralized controller. The parameter tuning algorithm is simple to calculate, making it conducive for engineering applications. Finally, the proposed scheme was verified by simulation. The simulation results show that a high-precision feedback gain matrix can be obtained with a maximum of eight iterations. The parameter tuning algorithm proposed in this paper converges quickly during the calculation process, and the constructed output feedback scheme achieves equivalent performance to the state feedback scheme, demonstrating the effectiveness of the design scheme proposed in this paper.

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An, Byoung Chul, and Hanul Sung. "Efficient I/O Merging Scheme for Distributed File Systems." Symmetry 15, no. 2 (February 5, 2023): 423. http://dx.doi.org/10.3390/sym15020423.

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Recently, decentralized file systems are widely used to overcome centralized file systems’ load asymmetry between nodes and the scalability problem. Due to the lack of a metadata server, decentralized systems require more RPC requests to control metadata processing between clients and servers, which adversely impacts the I/O performance and traffic imbalance by increasing RPC latency. In this paper, we propose an efficient I/O scheme to reduce the RPC overhead in decentralized file systems. Instead of sending a single RPC request at a time, we enqueued the RPCs in the global queue and merged them into larger RPC requests, thus avoiding excessive RPC latency overheads. The experimental results showed that our scheme improves write and read performance by up to 13% and 16%, respectively, compared with those of the original.

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Yin, Xunyuan, Jing Zeng, and Jinfeng Liu. "Forming Distributed State Estimation Network From Decentralized Estimators." IEEE Transactions on Control Systems Technology 27, no. 6 (November 2019): 2430–43. http://dx.doi.org/10.1109/tcst.2018.2866556.

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Jiang, Jian-Ping, and Dong-Xu Li. "Decentralized Robust Vibration Control of Smart Structures with Parameter Uncertainties." Journal of Intelligent Material Systems and Structures 22, no. 2 (January 2011): 137–47. http://dx.doi.org/10.1177/1045389x10391496.

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This study deals with decentralized robust vibration control of a smart composite panel with parameter uncertainties. The composite panel with four collocated piezoelectric actuators and velocity sensors is modeled using finite element method, and then the size of the model is reduced in the state space using Modal Hankel Singular Value. The parameter uncertainties presented by natural frequencies and modal damping ratios are considered in controller design process. To suppress the vibration induced by external disturbance, a decentralized robust H∞ controller is developed using linear matrix inequality techniques. Numerical simulation for the smart panel is performed in order to investigate the effectiveness of decentralized vibration control (DVC). When the system is subjected to an initial displacement field or distributed white noise disturbance, numerical results show that the DVC system is very effective. Although there are 20% parameter uncertainties for modal frequencies, damping ratio, and control input, the decentralized controller can effectively suppress the vibration excited by the external disturbance. Furthermore, the decentralized controller composed of four three-order systems can be practically implemented well.

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Al-Saadi, Mudhafar, Maher Al-Greer, and Michael Short. "Strategies for Controlling Microgrid Networks with Energy Storage Systems: A Review." Energies 14, no. 21 (November 2, 2021): 7234. http://dx.doi.org/10.3390/en14217234.

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Distributed Energy Storage Systems are considered key enablers in the transition from the traditional centralized power system to a smarter, autonomous, and decentralized system operating mostly on renewable energy. The control of distributed energy storage involves the coordinated management of many smaller energy storages, typically embedded within microgrids. As such, there has been much recent interest related to controlling aspects of supporting power-sharing balance and sustainability, increasing system resilience and reliability, and balancing distributed state of charge. This paper presents a comprehensive review of decentralized, centralized, multiagent, and intelligent control strategies that have been proposed to control and manage distributed energy storage. It also highlights the potential range of services that can be provided by these storages, their control complications, and proposed solutions. Specific focus on control strategies based upon multiagent communication and reinforcement learning is a main objective of this paper, reflecting recent advancements in digitalization and AI. The paper concludes with a summary of emerging areas and presents a summary of promising future directions.

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Fan, Dongyu, Haikuo Shen, and Lijing Dong. "Multi-Agent Distributed Deep Deterministic Policy Gradient for Partially Observable Tracking." Actuators 10, no. 10 (October 14, 2021): 268. http://dx.doi.org/10.3390/act10100268.

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In many existing multi-agent reinforcement learning tasks, each agent observes all the other agents from its own perspective. In addition, the training process is centralized, namely the critic of each agent can access the policies of all the agents. This scheme has certain limitations since every single agent can only obtain the information of its neighbor agents due to the communication range in practical applications. Therefore, in this paper, a multi-agent distributed deep deterministic policy gradient (MAD3PG) approach is presented with decentralized actors and distributed critics to realize multi-agent distributed tracking. The distinguishing feature of the proposed framework is that we adopted the multi-agent distributed training with decentralized execution, where each critic only takes the agent’s and the neighbor agents’ policies into account. Experiments were conducted in the distributed tracking tasks based on multi-agent particle environments where N(N=3,N=5) agents track a target agent with partial observation. The results showed that the proposed method achieves a higher reward with a shorter training time compared to other methods, including MADDPG, DDPG, PPO, and DQN. The proposed novel method leads to a more efficient and effective multi-agent tracking.

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Griparić, Karlo. "Algebraic Connectivity Control in Distributed Networks by Using Multiple Communication Channels." Sensors 21, no. 15 (July 23, 2021): 5014. http://dx.doi.org/10.3390/s21155014.

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The effectiveness of collaboration in distributed networks, such as sensor networks and multi-agent systems, relies on nodes’ ability to exchange information. The availability of various communication protocols with different technical properties opens the possibility to guarantee connectivity during a system’s operation in any condition. A communication network can be represented by a graph on which connectivity can be expressed by a well-known algebraic connectivity value or Fiedler value. It is one of the most important tools used in many applications where connectivity preservation is required. In this paper, a trust-based consensus algorithm for algebraic connectivity estimation has been implemented. To guarantee the accomplishment of the global objective and the system’s performance, our contributions include: (i) a novel decentralized framework for combining multiple communication channels in a resulting channel and (ii) a decentralized algebraic connectivity control law that dynamically changes the number of agents in the system during operation. The proposed algebraic connectivity control strategy has been evaluated in simulations and in a real multi-robot system using two channels with different properties and initial topologies.

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Fusco, Giuseppe, and Mario Russo. "A Decentralized Approach for Voltage Control by Multiple Distributed Energy Resources." IEEE Transactions on Smart Grid 12, no. 4 (July 2021): 3115–27. http://dx.doi.org/10.1109/tsg.2021.3057546.

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Worthmann, Karl, Christopher M. Kellett, Philipp Braun, Lars Grune, and Steven R. Weller. "Distributed and Decentralized Control of Residential Energy Systems Incorporating Battery Storage." IEEE Transactions on Smart Grid 6, no. 4 (July 2015): 1914–23. http://dx.doi.org/10.1109/tsg.2015.2392081.

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Meng, Yunhe, Qifeng Chen, and Ahmed Rahmani. "A decentralized cooperative control scheme for a distributed space transportation system." Robotics and Autonomous Systems 101 (March 2018): 1–19. http://dx.doi.org/10.1016/j.robot.2017.12.006.

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45

Kuriakose, M., P. Sebastian, S. Balasubramanian, and R. Sadanandan. "Developing a Model of Distributed, Decentralized Digitally Connected Cancer Control Program." Journal of Global Oncology 4, Supplement 2 (October 1, 2018): 240s. http://dx.doi.org/10.1200/jgo.18.96200.

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Background and context: Traditional method of managing cancer through establishing large comprehensive cancer centers are ineffective in developing country setting that has poorly developed primary health care facilities. These larger cancer centers become victims of their success and attract increasing number of patients from distant places, overstretching the resources and increasing out-of-pocket expenses for the patients. Increasing the number of cancer centers also is not effective as each unit by itself will not have the critical mass of expertise to offer comprehensive cancer care. In addition, for sustainability and improved resource utilization, the cancer care needs to be integrated with the existing health care system. The state with a population ∼ 33.3 million has 19 cancer treatment facilities distributed throughout the coastal districts. The cancer incidence rate of the state is 128 per 100,000, which is the fourth highest in the country. Aim: To develop a model for distributed, decentralized digitally connected cancer control program for the state of Kerala, India. Strategy/Tactics: A model for distributed, decentralized digitally connected cancer care that offers resource stratified cancer care and integrate with the existing health care. Program/Policy process: The distributed cancer care network for the state that will be digitally connected using a recently introduced e-health program to interconnect the cancer care as well as to integrate with the existing healthcare network. The cancer centers will be stratified in 4 levels. Level 1 would be 3 apex cancer centers with most advanced infrastructure and serves as quaternary centers and coordinate cancer care in 3 zones. The Level 2 cancer centers established at medical colleges and cancer centers in major private medical hospitals offer comprehensive cancer care in a geographic area and serve as tertiary cancer referral centers. Level 3 centers are located in the district and Taluk hospitals that offers primary cancer care for common cancers including palliative daycare chemotherapy. Level 4 units are established as part of the national health mission in primary and family health centers which provide the important task of cancer surveillance and improving cancer literacy for the public with peoples participation. Outcomes: The expected outcomes are downstaging of cancer, developing a resource-stratified referral pathway that minimize treatment delay, provide cancer care within 90 minutes of travel and lowering out-of-pocket expenses. What was learned: Planning of the program involved participation of major stakeholders of cancer and health care of the state as well as NGO.

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Ge, Xiaohai, Hua Han, Wenjing Xiong, Mei Su, Zhangjie Liu, and Yao Sun. "Locally-distributed and globally-decentralized control for hybrid series-parallel microgrids." International Journal of Electrical Power & Energy Systems 116 (March 2020): 105537. http://dx.doi.org/10.1016/j.ijepes.2019.105537.

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47

Liu, Dan, and Fei Hao. "Decentralized event-triggered control strategy in distributed networked systems with delays." International Journal of Control, Automation and Systems 11, no. 1 (January 26, 2013): 33–40. http://dx.doi.org/10.1007/s12555-012-0094-1.

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Yasuda, Keiichiro, and Tsunayoshi Ishii. "Basic concept and decentralized autonomous control of super-distributed energy systems." Electrical Engineering in Japan 151, no. 1 (2005): 43–55. http://dx.doi.org/10.1002/eej.10368.

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Zhu, Chongxi, Hong Xu, Leichun Gu, Zhiwei Hua, Xin Li, and Qifan Feng. "Decentralized frequency support control based on distributed PV’s adaptive power reserve." Journal of Physics: Conference Series 2567, no. 1 (August 1, 2023): 012004. http://dx.doi.org/10.1088/1742-6596/2567/1/012004.

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Abstract High integration of PV diminishes system inertia, which jeopardizes the system frequency stability. Adjusting PVs’ output according to demand is an active power control method requiring no energy storage devices, which realizes grid frequency support by a certain reserved power of PV. To equally reserve power between different PVs without communication, this paper combines the operation characteristics of the PV module on the right side of the maximum power point and proposes the characteristic of power reserve and adaptive power reserve-frequency supporting control. Furthermore, irradiance and temperature sensors, cumbersome mathematical computation, and accurate measurement of PV module parameters can be eliminated. Finally, simulations are provided to validate the effectiveness of the proposed control strategy.

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Zichichi, Mirko, Stefano Ferretti, and Víctor Rodríguez-Doncel. "Decentralized Personal Data Marketplaces: How Participation in a DAO Can Support the Production of Citizen-Generated Data." Sensors 22, no. 16 (August 20, 2022): 6260. http://dx.doi.org/10.3390/s22166260.

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Big Tech companies operating in a data-driven economy offer services that rely on their users’ personal data and usually store this personal information in “data silos” that prevent transparency about their use and opportunities for data sharing for public interest. In this paper, we present a solution that promotes the development of decentralized personal data marketplaces, exploiting the use of Distributed Ledger Technologies (DLTs), Decentralized File Storages (DFS) and smart contracts for storing personal data and managing access control in a decentralized way. Moreover, we focus on the issue of a lack of efficient decentralized mechanisms in DLTs and DFSs for querying a certain type of data. For this reason, we propose the use of a hypercube-structured Distributed Hash Table (DHT) on top of DLTs, organized for efficient processing of multiple keyword-based queries on the ledger data. We test our approach with the implementation of a use case regarding the creation of citizen-generated data based on direct participation and the involvement of a Decentralized Autonomous Organization (DAO). The performance evaluation demonstrates the viability of our approach for decentralized data searches, distributed authorization mechanisms and smart contract exploitation.