Relevant bibliographies by topics / Control system coordination

Academic literature on the topic 'Control system coordination'

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Published: 14 March 2023

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Journal articles on the topic "Control system coordination"

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Yukhymchuk, Maria, Volodymyr Dubovoi, and Viacheslav Kovtun. "Decentralized Coordination of Temperature Control in Multiarea Premises." Complexity 2022 (December 13, 2022): 1–18. http://dx.doi.org/10.1155/2022/2588364.

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With local control of a large number of objects that mutually influence each other, the problem of coordinating local control systems to achieve the best overall result arises. If the structure of the system (the number of control objects and the parameters of interaction) can change frequently, then the process of setting up/training a centralized coordinator will take an unacceptably large part of the action time and require a significant amount of resources. In this work, the use of decentralized coordination is proposed to solve the problem. As a basic task for research on decentralized coordination control of objects that mutually influence each other, stabilizing the comfort temperatures was set in multizone rooms using movable heaters. Providing individual thermal comfort is an important problem. In particular, there are many multiarea premises with conflicting requirements for the comfort of habitats. This problem can be solved with the help of movable heaters and air conditioners. However, the presence of heat flows between areas with different specified parameters makes it difficult to adjust them. The work aims to improve the quality of thermal control in multiarea premises with a dynamic structure for the location of movable heaters. To achieve this goal, we proposed the concept of Movable Smart Heaters (MSH). A group of Movable Smart Heaters that could influence each other and exchange information forms a dynamic system with a changing structure since switching on/off or moving one MSH to another area changes the mutual influence and connections in the system. The criteria for control quality are defined and evaluated. The proposed coordination algorithms make it possible to optimize the operating modes of the system automatically when its structure and/or settings are changed. Simulation of the system is performed with the use of a worked-out modelling library in Scilab. The results of comparing the MSH system’s efficiency show an increase in comfort while reducing energy consumption.
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Wang, Lei, and Xue Ling. "Coordination Control Model of Manufacturing System." Applied Mechanics and Materials 101-102 (September 2011): 800–803. http://dx.doi.org/10.4028/www.scientific.net/amm.101-102.800.

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This paper established a coordination control model for manufacturing system with three manufacturing cells. The step responses of the system under randomly selected control parameters and under empirically optimized control parameters were studied via simulations. Simulation results show that the proposed model coincides with the real-world system.
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Li, Howard, Fakhreddine Karray, Otman Basir, and Insop Song. "Multi-Agent Based Control of a Heterogeneous System." Journal of Advanced Computational Intelligence and Intelligent Informatics 10, no. 2 (March 20, 2006): 161–67. http://dx.doi.org/10.20965/jaciii.2006.p0161.

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In this study, the Coordinated Hybrid Agent (CHA) framework for the control of Multi-Agent Systems (MASs) is applied for a heterogeneous multi-agent system. The system consists of a mobile robot, an overhead crane, and a robot manipulator. The final goal for this project is to implement coordination tasks for the system. In this framework, the control of the MAS is regarded as a decentralized control and coordination of agents. A coordination rule base is developed for the intelligent coordination control layer. Experiments show that the framework is able to model the heterogeneous multi-agent systems.
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Yuan, Rong, and Haiqing Li. "A multidisciplinary coupling relationship coordination algorithm using the hierarchical control methods of complex systems and its application in multidisciplinary design optimization." Advances in Mechanical Engineering 9, no. 1 (January 2017): 168781401668522. http://dx.doi.org/10.1177/1687814016685222.

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Because of the increasing complexity in engineering systems, multidisciplinary design optimization has attracted increasing attention. High computational expense and organizational complexity are two main challenges of multidisciplinary design optimization. To address these challenges, the hierarchical control method of complex systems is developed in this study. Hierarchical control method is a powerful way which has been utilized widely in the control and coordination of large-scale complex systems. Here, a hierarchical control method–based coupling relationship coordination algorithm is proposed to solve multidisciplinary design optimization problems. Coupling relationship coordination algorithm decouples the involved disciplines of a complex system and then optimizes each discipline objective at sub-system level. Coupling relationship coordination algorithm can maintain the consistency of interaction information (or in other words, sharing design variables and coupling design variables) in different disciplines by introducing control parameters. The control parameters are assigned by the coordinator at system level. A mechanical structure multidisciplinary design optimization problem is solved to illustrate the details of the proposed approach.
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Xu, Yang, Yulin Zhang, and Ming Liu. "Multiagent Based Decentralized Traffic Light Control for Large Urban Transportation System." Mathematical Problems in Engineering 2014 (2014): 1–13. http://dx.doi.org/10.1155/2014/104349.

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Intelligent traffic control is an important issue of the modern transportation system. However, in large-scale urban transportation systems, traditional centralized coordination methods suffer bottlenecks in both communication and computation. Decentralized control is hard if there is very limited observation to the whole network as evidences to support joint traffic coordination decisions. In this paper, we proposed a novel decentralized, multiagent based approach for massive traffic lights coordination to promote the large-scale green transportation. Considering that only the traffic from the adjacent intersections may affect the state of a given intersection one time ahead, the key of our approach is using the observations of a local intersection and its neighbors as evidences to support the traffic light coordination decisions. Therefore, we can model the interactions as decentralized agents coordinating with a decision theoretical model. Within a local intersection, constraint optimizing agents are designed to efficiently search for joint activities of the lights. Since this approach involves only local intersection cooperation, it is well scalable and easily implemented with small communication overhead. In the last section, we present our software design on this approach and based on our simulation, this approach is feasible to a large urban transportation system.
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Gao, De Chao, and Fang He. "Fuzzy Coordinated Control for Multi-Motor Drive System." Applied Mechanics and Materials 631-632 (September 2014): 676–79. http://dx.doi.org/10.4028/www.scientific.net/amm.631-632.676.

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The multi-motor drive systems are more and more widely applied. The coordination of multi-motor system is the key need to be solved. A new fuzzy coordinated control strategy is proposed and the fuzzy coordinator is designed. The simulation model is set up using Matlab/Simulink. The result of simulation proves that the fuzzy coordinated control for multi-motor drive system can effectively reduce the synchronization error. The multi-motor drive system which applies the strategy of coordinated control has higher stability and better performance of coordinated control.
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Wang, Lei, Dun-Bing Tang, Wen-Bin Gu, Kun Zheng, Wei-Dong Yuan, and Ding-Shan Tang. "Pheromone-based coordination for manufacturing system control." Journal of Intelligent Manufacturing 23, no. 3 (June 30, 2010): 747–57. http://dx.doi.org/10.1007/s10845-010-0426-z.

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Kambhampati, C., C. Perkgoz, R. J. Patton, and W. Ahamed. "An interaction predictive approach to fault-tolerant control in network control systems." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 221, no. 6 (September 1, 2007): 885–94. http://dx.doi.org/10.1243/09596518jsce377.

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This paper illustrates some of the capabilities of previously proposed network control system (NCS) architectures to carry on functioning in the event of faults, without recourse to system reconfiguration. The principle of interaction prediction is used to set up a coordination strategy that encapsulates an ability to withstand or tolerate certain faults, thereby allowing the system to continue functioning. It is also shown that the coordination strategy can be made more effective if a learning agent is allowed to learn the coordination functions. This facilitates the use of different types of agent at the local level, together with recurrent networks and genetic algorithms (GAs) at the coordination level. The experimental test-bed system is a benchmark three-tank system that has some of the main features of an industrial process control system.
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Song, Zhao Jun. "A Novel Coordination and Control Approach for Manufacturing System." Advanced Materials Research 909 (March 2014): 231–35. http://dx.doi.org/10.4028/www.scientific.net/amr.909.231.

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In order to handle dynamic and complex manufacturing environment, a novel coordination and control approachis proposed and applied to manufacturing control system in this paper. Using an implicit coordination approach, a novel coordination approach ,which is inspired by the hormone regulatory principle, can find efficient routing paths among the manufacturing resources automatically. With using the proposed implicit coordination approach, the manufacturing control system could reduce the amount of the control communication, and raise the sensitivity of the controller in the shop floor control system. Finally, a simulation experiment, using the proposed approach, is test. And the result confirms that the novel implicit coordination approach has excellent control performance in a static environment and good adaptability to disturbances in shop floor.
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Li, Guo, Wen Zheng Zhang, and Yan Jie Hou. "The Application of Multi-Model Control on Vehicle Chassis Coordination Control." Applied Mechanics and Materials 387 (August 2013): 292–95. http://dx.doi.org/10.4028/www.scientific.net/amm.387.292.

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In this paper, we did research on the control theory of vehicle`s steering and braking systems. We used T-S fuzzy method to design the nonlinear model which is based on the vehicle`s steering and braking models. Then a cooperative controller was designed to coordinate the steering system and the braking system. On this way can effectively enhance the vehicle`s braking performance and steering stability. Finally, the results of simulation prove that the designed system has a satisfying tracking performance and strong system robust in diversified driving conditions.
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Dissertations / Theses on the topic "Control system coordination"

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Kibushi, Benio. "Muscle and kinematic coordination system in human walking." Kyoto University, 2019. http://hdl.handle.net/2433/242738.

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Kyoto University (京都大学)
0048
新制・課程博士
博士(人間・環境学)
甲第21861号
人博第890号
新制||人||213(附属図書館)
2018||人博||890(吉田南総合図書館)
京都大学大学院人間・環境学研究科共生人間学専攻
(主査)教授 神﨑 素樹, 教授 石原 昭彦, 教授 久代 恵介
学位規則第4条第1項該当
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Nguyen, Van Liem. "Modeling and control coordination of power systems with FACTS devices in steady-state operating mode." University of Western Australia. School of Electrical, Electronic and Computer Engineering, 2008. http://theses.library.uwa.edu.au/adt-WU2009.0036.

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This thesis is devoted to the development of new models for a recently-implemented FACTS (flexible alternating current transmission system) device, the unified power flow controller (UPFC), and the control coordination of power systems with FACTS devices in steady-state operating mode. The key objectives of the research reported in the thesis are, through online control coordination based on the models of power systems having FACTS devices, those of maximising the network operational benefit and restoring system static security following a disturbance or contingency. Based on the novel concept of interpreting the updated voltage solutions at each iteration in the Newton-Raphson (NR) power-flow analysis as dynamic variables, the thesis first develops a procedure for representing the unified power flow controllers (UPFCs) in the steady-state evaluation. Both the shunt converter and series converter control systems of a UPFC are modeled in their dynamical form with the discrete time variable replaced by the NR iterative step in the power-flow analysis. The key advantage of the model developed is that of facilitating the process of UPFC constraint resolution during the NR solution sequence. Any relative priority in control functions pre-set in the UPFC controllers is automatically represented in the power-flow formulation. Although the developed UPFC model based on the dynamic simulation of series and shunt converter controllers is flexible and general, the number of NR iterations required for convergence can be large. Therefore, the model is suitable mainly for power system planning and design studies. For online control coordination, the thesis develops the second UPFC model based on nodal voltages. The model retains all of the flexibility and generality of the dynamic simulation-based approach while the number of iterations required for solution convergence is independent of the UPFC controller dynamic responses. Drawing on the constrained optimisation based on Newton’s method together with the new UPFC model expressed in terms of nodal voltages, a systematic and general method for determining optimal reference inputs to UPFCs in steady-state operation is developed. The method is directly applicable to UPFCs operation with a high-level line optimisation control (LOC) for maximising the network operational benefit. By using a new continuation technique with adaptive parameter, the algorithm for solving the constrained optimisation problem extends substantially the region of convergence achieved with the conventional Newton’s method. Having established the foundation provided by the comprehensive models developed for representing power systems with FACTS devices including the UPFC, the research, in the second part, focuses on real-time control coordination of power system controllers, with the main purpose of restoring power system static security following a disturbance or contingency. At present, as the cost of phasor measurement units (PMUs) and wide-area communication network is on the decrease, the research proposes and develops a new secondary voltage control where voltages at all of the load nodes are directly controlled, using measured voltages.
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Gianto, Rudy. "Coordination of power system controllers for optimal damping of electromechanical oscillations." University of Western Australia. School of Electrical, Electronic and Computer Engineering, 2008. http://theses.library.uwa.edu.au/adt-WU2009.0056.

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This thesis is devoted to the development of new approaches for control coordination of PSSs (power system stabilisers) and FACTS (flexible alternating current transmission system) devices for achieving and enhancing small-disturbance stability in multi-machine power systems. The key objectives of the research reported in the thesis are, through optimal control coordination of PSSs and/or FACTS devices, those of maintaining satisfactory power oscillation damping and secure system operation when the power system is subject to persisting disturbances in the form of load demand fluctuations and switching control. Although occurring less frequently, fault disturbances are also considered in the assessment of the control coordination performance. Based on the constrained optimisation method in which the eigenvalue-based objective function is minimised to identify the optimal parameters of power system damping controllers, the thesis first develops a procedure for designing the control coordination of PSSs and FACTS devices controllers. The eigenvalue-eigenvector equations associated with the selected electromechanical modes form a set of equality constraints in the optimisation. The key advance of the procedure is that there is no need for any special software system for eigenvalue calculations, and the use of sparse Jacobian matrix for forming the eigenvalue-eigenvector equations leads to the sparsity formulation which is essential for large power systems. Inequality constraints include those for imposing bounds on the controller parameters. Constraints which guarantee that the modes are distinct ones are derived and incorporated in the control coordination formulation, using the property that eigenvectors associated with distinct modes are linearly independent. The robustness of the controllers is achieved very directly through extending the sets of equality constraints and inequality constraints in relation to selected eigenvalues and eigenvectors associated with the state matrices of power systems with loading conditions and/or network configurations different from that of the base case. On recognising that the fixed-parameter controllers, even when designed with optimal control coordination, have an inherent limitation which precludes optimal system damping for each and every possible system operating condition, the second part of ii the research has a focus on adaptive control techniques and their applications to power system controllers. In this context, the thesis reports the development of a new design procedure for online control coordination which leads to adaptive PSSs and/or supplementary damping controllers (SDCs) of FACTS devices for enhancing the stability of the electromechanical modes in a multi-machine power system. The controller parameters are adaptive to the changes in system operating condition and/or configuration. Central to the design is the use of a neural network synthesised to give in its output layer the optimal controller parameters adaptive to system operating condition and configuration. A novel feature of the neural adaptive controller is that of representing the system configuration by a reduced nodal impedance matrix which is input to the neural network.
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Culioli, Jean-Christophe. "Algorithmes de decomposition/coordination en optimisation stochastique." Paris, ENMP, 1987. http://www.theses.fr/1987ENMP0059.

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Les systemes consideres, souvent complexes a modeliser et/ou optimiser peuvent etre constitues de sous-systemes heterogenes pour lesquels une technique globale de resolution n'est pas necessairement appropriee ou possible, meme s'ils sont equivalents et peu nombreux
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Reynolds, Hayley J. Davison (Hayley Jaye Davison). "Identification of communication and coordination issues in the U.S. air traffic control system." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/81565.

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Slay, Tylor. "Adoption of an Internet of Things Framework for Distributed Energy Resource Coordination and Control." PDXScholar, 2018. https://pdxscholar.library.pdx.edu/open_access_etds/4464.

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Increasing penetration of non-dispatchable renewable energy resources and greater peak power demand present growing challenges to Bulk Power System (BPS) reliability and resilience. This research investigates the use of an Internet of Things (IoT) framework for large scale Distributed Energy Resource (DER) aggregation and control to reduce energy imbalance caused by stochastic renewable generation. The aggregator developed for this research is Distributed Energy Resource Aggregation System (DERAS). DERAS comprises two AllJoyn applications written in C++. The first application is the Energy Management System (EMS), which aggregates, emulates, and controls connected DERs. The second application is the Distributed Management System (DMS), which is the interface between AllJoyn and the physical DER. The EMS runs on a cloud-based server with an allocated 8 GB of memory and an 8 thread, 2 GHz processor. Raspberry Pis host the simulated Battery Energy Storage System (BESS) or electric water heater (EWH) DMSs. Five Raspberry Pis were used to simulate 250 DMSs. The EMS used PJM's regulation control signals, RegA and RegD, to determine DERAS performance metrics. PJM is a regional transmission organization (RTO). Their regulation control signals direct power resources to negate load and generation imbalances within the BPS. DERAS's performance was measured by the EMS server resource usage, network data transfer, and signal delay. The regulation capability of aggregated DER was measured using PJM's resource performance assessment criteria. We found the use of an IoT framework for DER aggregation and control to be inadequate in the current network implementation. However, the emulated modes and aggregation response to the regulated control signal demonstrates an excellent opportunity for DER to benefit the BPS.
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Pourbeik, Pouyan. "Design and coordination of stabilisers for generators and FACTS devices in multimachine power systems /." Title page, contents and abstract only, 1997. http://web4.library.adelaide.edu.au/theses/09PH/09php877.pdf.

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Marín, Collazos Luis Gabriel. "Hierarchical energy management system based on fuzzy prediction intervals for operation and coordination of microgrids." Tesis, Universidad de Chile, 2018. http://repositorio.uchile.cl/handle/2250/170000.

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Tesis para optar al grado de Doctor en Ingeniería Eléctrica
The integration of large numbers of Distributed Energy Resources (DERs) into the distribution system could take place either by reinforcement of the existing network assets, or the incorporation of active management of flexible resources into different sections of the distribution network. For active management of a distribution network, the design of control strategies is necessary for an efficient and reliable large-scale integration of DERs. Besides the benefit of supporting the use of renewable energy sources, DERs play an important role in improving the resilience and sustainability of the electricity distribution system and also in the generation of new market opportunities. In this thesis, the active management of DERs is proposed using a hierarchical energy management system (EMS) applied to "Energy Communities". Energy communities are a concept which allows different end users to cooperate in their energy interactions with the aim of maximising their self-consumption, minimising energy costs, reducing peak power levels or a combination of these and other beneficial goals as well. The hierarchical EMS proposed allows incorporating mechanisms to ensure both the realisation of short-term power balancing objectives and long-term energy management, benefiting the microgrid owner and the distribution network operator. The hierarchical EMS is designed in two levels: main grid level and microgrid level. At the microgrid level, a real-time local rule-based controller is proposed and at the higher level, a Robust model predictive control (MPC) is used to manage the uncertainty associated with renewable distributed generation and electricity demand. The uncertainty is incorporated into the Robust MPC controller based on fuzzy prediction interval models in order to help the system to be prepared for errors in the predictions that might yield sub-optimal decisions. Several case studies are used to test the performance of the hierarchical EMS for the operation and coordination of microgrids. Robust EMS based on fuzzy prediction interval models is compared to the deterministic EMS and with a basic EMS without energy storage system (ESS). The results show that the deterministic and Robust EMSs provide improvements over the case without ESS, as they offer mechanisms for efficient energy management. The incorporation of an ESS into the energy community benefits both the end user, by reducing energy cost, and the distribution network operator, by limiting the peak power levels and enabling increased penetration of distributed generation (DG). Additionally, the hierarchical EMS is able to keep the community power flow close to the reference power defined by the higher level controller with minimum energy cost, among other benefits. Finally, end users operating as Energy Communities can optimise the use of DG and the size of the ESS required.
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Sarasua, Wayne Alexander. "SIG-GIS : a GIS based traffic signal coordination and information management system." Diss., Georgia Institute of Technology, 1992. http://hdl.handle.net/1853/19085.

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Collins, Mark. "Multi-agent system control and coordination of distributed energy resources in electrical power networks." Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/24735.

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The central question to be addressed in this thesis is whether Active Network Management (ANM) implemented through a Multi-Agent System (MAS) can offer a realistic basis for managing a distribution network of the future. These networks will contain many more Distributed Energy Resources (DER) than present networks resulting in a more regular occurrence of constraints being violated because of the network's increased usage. A review of ANM schemes is presented in order to show their impact on the global and local operation of distribution networks, the economic impacts and benefits they have, and the limitations that arise from the centralisation of operations. This thesis shows that a distributed MAS implementation of ANM could potentially remove limitations associated with a centralised approach to ANM. However, present MAS ANM approaches raise concerns with regards to their operation on realistic networks, the communication burden they create, the safety and security of their operation and the economic considerations taken when implementing decisions. This thesis proposes a MAS ANM scheme with an agent allocated to every node of the network, implementing a fully decentralised decision making algorithm. These agents are all peers and use message propagation so voltage approximations can be calculated and DER corrective actions shared without the need for a complete, central network model to exist. Agents select a beneficial control action to satisfy voltage constraints in order to minimise corrective costs associated with the DER actions. This is achieved by combining the cost of various DER corrective actions and a cost allocated to voltage excursions outside the target control range. This approach removes the need for a central moderator, avoiding potential single point failures and reducing communication overheads of present MAS ANM schemes. Furthermore to ensure this MAS ANM does not affect the present GB energy market operation, the cost associated with DER corrective actions reflects the real revenue incurred by DER owners and compensated by the MAS ANM scheme operator. Finally to confirm that the MAS ANM meets the main aim of the thesis, it is shown to successfully operate upon many test distribution network configurations, rapidly bring voltage excursions from load changes back within limits. The solutions found are comparable to an Optimal Power Flow (OPF) supplied with a full network model and set of DER costs, confirming its ability to provide similar results to centralised ANM schemes with the benefits over the operational limitations of proposed centrally moderated MAS ANM schemes.
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Books on the topic "Control system coordination"

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van Schuppen, Jan H., and Tiziano Villa, eds. Coordination Control of Distributed Systems. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-10407-2.

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Ren, Beibei, Shuzhi Sam Ge, Chang Chen, Cheng-Heng Fua, and Tong Heng Lee. Modeling, Control and Coordination of Helicopter Systems. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-1563-3.

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Vernon, McDonald P., and Lyndon B. Johnson Space Center., eds. Multimodal perception and multicriterion control of nested systems: I. Coordination of postural control and vehicular control. Houston, Tex: National Aeronautics and Space Administration, Lyndon B. Johnson Space Center, 1997.

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Vernon, McDonald P., and Lyndon B. Johnson Space Center., eds. Multimodal perception and multicriterion control of nested systems: I. Coordination of postural control and vehicular control. Houston, Tex: National Aeronautics and Space Administration, Lyndon B. Johnson Space Center, 1997.

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Yang, Shiping, Jian-Xin Xu, Xuefang Li, and Dong Shen. Iterative Learning Control for Multi-agent Systems Coordination. Singapore: John Wiley & Sons Singapore Pte. Ltd, 2017. http://dx.doi.org/10.1002/9781119189053.

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Research Coordination Meeting (2002 Mexico City, Mexico). Determination of human pathogen profiles in food by quality assured microbial assays: Proceedings of a final Research Coordination Meeting held in Mexico City, Mexico, 22-26 July, 2002. Vienna, Austria: International Atomic Energy Agency, 2005.

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Vernon, McDonald P., Bloomberg Jacob, and Lyndon B. Johnson Space Center., eds. Multimodal perception and multicriterion control of nested systems. Houston, Tex: National Aeronautics and Space Administration, Lyndon B. Johnson Space Center, 1999.

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Shaohui, Zheng, ed. Dynamic control of quality in production-inventory systems: Coordination and optimization. New York: Springer, 2002.

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Durrant-Whyte, Hugh F. Integration, Coordination and Control of Multi-Sensor Robot Systems. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4613-2009-8.

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Sun, Zhiyong. Cooperative Coordination and Formation Control for Multi-agent Systems. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74265-6.

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Book chapters on the topic "Control system coordination"

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van Schuppen, Jan H. "System Architectures of Distributed and of Multilevel Systems." In Coordination Control of Distributed Systems, 81–88. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10407-2_10.

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Zhao, Jianyu, Diankui Tang, Xin Geng, and Lei Jia. "Urban Arterial Traffic Coordination Control System." In Artificial Intelligence and Computational Intelligence, 275–83. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16527-6_35.

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Cunningham, Sheila. "Overview of the nervous system functions." In Nursing Skills in Control and Coordination, 5–17. New York: Routledge, 2021. | Series: Skills in nursing practice: Routledge, 2021. http://dx.doi.org/10.4324/9781351065900-3.

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Chung, J. H., and S. A. Velinsky. "Coordination Control of a Human/Manipulator System." In Romansy 13, 179–85. Vienna: Springer Vienna, 2000. http://dx.doi.org/10.1007/978-3-7091-2498-7_18.

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Stuurman, Sylvia, and Jan van Katwijk. "Evaluation of software architectures for a control system: A case study." In Coordination Languages and Models, 157–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-63383-9_79.

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Wang, Haifeng. "Multi-Agent Coordination for Secondary Voltage Control." In Autonomous Systems and Intelligent Agents in Power System Control and Operation, 205–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05955-5_10.

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Magadum, Seema, N. V. Archana, and Santoshkumar Hampannavar. "Control and Coordination Issues in Community Microgrid: A Review." In Control Applications in Modern Power System, 217–28. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8815-0_19.

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Bayoumi, M. M., and Li Mo. "Modeling, Trajectory Coordination, Control and Simulation of the Multiarm System." In CAD/CAM Robotics and Factories of the Future, 149–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-52326-7_26.

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Bayoumi, M. M., and Li Mo. "Modeling, Trajectory Coordination, Control and Simulation of the Multiarm System." In CAD/CAM Robotics and Factories of the Future, 149–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-662-39962-0_26.

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Sharma, Sachin, Khaleequr Rehman Niazi, Kusum Verma, and Tanuj Rawat. "An Efficient Optimization Approach for Coordination of Network Reconfiguration and PV Generation on Performance Improvement of Distribution System." In Control Applications in Modern Power System, 269–78. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8815-0_24.

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Conference papers on the topic "Control system coordination"

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Goodwine, Bill, and Panos Antsaklis. "Multiagent coordination exploiting system symmetries." In 2010 American Control Conference (ACC 2010). IEEE, 2010. http://dx.doi.org/10.1109/acc.2010.5530737.

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Stockar, Stephanie, Cristian Rostiti, Marcello Canova, and Michael Prucka. "A Model Predictive Approach for the Coordination of Powertrain Control Systems." In ASME 2019 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/dscc2019-9146.

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Abstract The design, calibration and integration of powertrain control algorithms has become significantly more complex in recent years, as the automotive industry faces increasing challenges in meeting consumer requirements and government regulations. Traditionally, the powertrain control engineering design process develops the engine and transmission controllers independently and then integrates them after an initial calibration. This process can lead to suboptimal performance and requires additional calibration and verification steps to improve the coordination of the various subsystems. This paper proposes a novel approach to achieve a systematic, high-level coordination, and optimization of the control strategy in an automotive powertrain system that will reduce overall calibration effort. Optimized set-points for engine and transmission controls are generated based on joint optimization of fuel consumption and drivability using Model Predictive Control to manage both continuous and discrete control variables. Simulation results confirm the control decisions made by the proposed coordinator match a well-calibrated production ECU with little tuning effort.
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Xiao, Hansong, Wuwei Chen, Changbao Chu, and Jean W. Zu. "Integrated Control and Coordination of Vehicle System Dynamics." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-86096.

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Current and future motor vehicles are incorporating more and more sophisticated chassis control systems to improve vehicle handling, stability and comfort. These control systems often operate independently and thus interactions and performance conflicts among the control systems occur inevitably. To address the problem, this study proposes a two-layer hierarchical control architecture for integrated control of electric power steering (EPS) system and anti-lock brake system (ABS). The upper layer controller is designed to coordinate the interactions between the EPS system and the ABS. While in the lower layer, the two controllers including the EPS system and the ABS, are designed independently to achieve their local control objectives. Simulation results show that the proposed hierarchical control system is able to improve the vehicle lateral stability, and at the same time ensure the vehicle steering agility, and the braking performance.
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Kang Xiaoning, Ma Xiuda, Qu Xiaoyun, and Wang Xinzhu. "Hierarchical coordination control in DC distribution system." In 2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC). IEEE, 2016. http://dx.doi.org/10.1109/appeec.2016.7779673.

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Guirong Zhuo and Changzai Wang. "The Coordination Control of Electrohydraulic Brake System." In International Conference on Automatic Control and Artificial Intelligence (ACAI 2012). Institution of Engineering and Technology, 2012. http://dx.doi.org/10.1049/cp.2012.1406.

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Smith, R. L. "DC control battery system protection and coordination." In CPS). IEEE, 1993. http://dx.doi.org/10.1109/icps.1993.290573.

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de Ridder, M. A. "Specification and coordination of a flexible manufacturing system." In International Conference on Control '94. IEE, 1994. http://dx.doi.org/10.1049/cp:19940345.

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Xia, Xue, Huan Xie, Tianqi Zhao, Zesen Wang, Hao Liang, and Rui Chen. "Wind Farm Predictive Coordination Control Strategy." In 2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2). IEEE, 2020. http://dx.doi.org/10.1109/ei250167.2020.9346963.

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Casavola, Alessandro, and Giuseppe Franze. "Coordination strategies for networked control systems: A power system application." In 2008 10th International Conference on Control, Automation, Robotics and Vision (ICARCV). IEEE, 2008. http://dx.doi.org/10.1109/icarcv.2008.4795570.

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Lin, J., S. Y. Guo, and Julian Chang. "Balancing control for pneumatic cart-seesaw system by fuzzy coordination methodology." In Control (MSC). IEEE, 2011. http://dx.doi.org/10.1109/cca.2011.6044482.

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Reports on the topic "Control system coordination"

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Wang, Haoyu, Roberto Ponciroli, Akshay Dave, and Richard Vilim. Control system for multi-system coordination via a single reference governor. Office of Scientific and Technical Information (OSTI), January 2022. http://dx.doi.org/10.2172/1881455.

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Taft, Jeffrey D., Paul De Martini, and Rick Geiger. Ultra-Large-Scale Power System Control and Coordination Architecture: A Strategic Framework for Integrating Advanced Grid Functionality. Office of Scientific and Technical Information (OSTI), July 2014. http://dx.doi.org/10.2172/1608691.

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Teller, Patricia, and Sarala Arunagiri. I/O Coordination to Improve HEC System Performance: A Marriage of Analytical Modeling, Control Theory, and Differentiated I/O Performance. Office of Scientific and Technical Information (OSTI), March 2014. http://dx.doi.org/10.2172/1122130.

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Fennell, Robert E., and James A. Reneke. Control Coordination for Hereditary Systems. Fort Belvoir, VA: Defense Technical Information Center, January 1986. http://dx.doi.org/10.21236/ada177256.

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Tatlicioglu, E., M. McIntyre, D. Dawson, and T. Burg. Coordination Control for Haptic and Teleoperator Systems. Fort Belvoir, VA: Defense Technical Information Center, January 2006. http://dx.doi.org/10.21236/ada462616.

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Fennell, Robert, and J. A. Reneke. Control Coordination of Large Scale Hereditary Systems. Fort Belvoir, VA: Defense Technical Information Center, July 1985. http://dx.doi.org/10.21236/ada172736.

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Kokurina, O. Yu. VIABILITY AND RESILIENCE OF THE MODERN STATE: PATTERNS OF PUBLIC-LEGAL ADMINISTRATION AND REGULATION. Kokurina O.Yu., February 2022. http://dx.doi.org/10.12731/kokurina-21-011-31155.

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The modern understanding of the state as a complex social system allows us to assert that its resilience is based on ensuring systemic homeostasis as a stabilizing dynamic mechanism for resolving contradictions arising in society associated with the threat of losing control over the processes of public administration and legal regulation. Public administration is a kind of social management that ensures the organization of social relations and processes, giving the social system the proper coordination of actions, the necessary orderliness, sustainability and stability. The problem of state resilience is directly related to the resilience of state (public) administration requires a «breakthrough in traditional approaches» and recognition of «the state administration system as an organic system, the constituent parts and elements of which are diverse and capable of continuous self-development». Within the framework of the «organizational point of view» on the control methodology, there are important patterns and features that determine the viability and resilience of public administration and regulation processes in the state and society. These include: W. Ashby's cybernetic law of required diversity: for effective control, the degree of diversity of the governing body must be no less than the degree of diversity of the controlled object; E. Sedov’s law of hierarchical compensations: in complex, hierarchically organized and networked systems, the growth of diversity at the top level in the structure of the system is ensured by a certain limitation of diversity at its lower levels; St. Beer’s principle of invariance of the structure of viable social systems. The study was supported by the RFBR and EISI within the framework of the scientific project No. 21-011-31155.
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Arora, Sanjana, and Olena Koval. Norway Country Report. University of Stavanger, 2022. http://dx.doi.org/10.31265/usps.232.

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This report is part of a larger cross-country comparative project and constitutes an account and analysis of the measures comprising the Norwegian national response to the COVID-19 pandemic during the year of 2020. This time period is interesting in that mitigation efforts were predominantly of a non-medical nature. Mass vaccinations were in Norway conducted in early 2021. With one of the lowest mortality rates in Europe and relatively lower economic repercussions compared to its Nordic neighbours, the Norwegian case stands unique (OECD, 2021: Eurostat 2021; Statista, 2022). This report presents a summary of Norwegian response to the COVID-19 pandemic by taking into account its governance, political administration and societal context. In doing so, it highlights the key features of the Nordic governance model and the mitigation measures that attributed to its success, as well as some facets of Norway’s under-preparedness. Norway’s relative isolation in Northern Europe coupled with low population density gave it a geographical advantage in ensuring a slower spread of the virus. However, the spread of infection was also uneven, which meant that infection rates were concentrated more in some areas than in others. On the fiscal front, the affluence of Norway is linked to its petroleum industry and the related Norwegian Sovereign Wealth Fund. Both were affected by the pandemic, reflected through a reduction in the country’s annual GDP (SSB, 2022). The Nordic model of extensive welfare services, economic measures, a strong healthcare system with goals of equity and a high trust society, indeed ensured a strong shield against the impact of the COVID-19 pandemic. Yet, the consequences of the pandemic were uneven with unemployment especially high among those with low education and/or in low-income professions, as well as among immigrants (NOU, 2022:5). The social and psychological effects were also uneven, with children and elderly being left particularly vulnerable (Christensen, 2021). Further, the pandemic also at times led to unprecedented pressure on some intensive care units (OECD, 2021). Central to handling the COVID-19 pandemic in Norway were the three national executive authorities: the Ministry of Health and Care services, the National directorate of health and the Norwegian Institute of Public Health. With regard to political-administrative functions, the principle of subsidiarity (decentralisation) and responsibility meant that local governments had a high degree of autonomy in implementing infection control measures. Risk communication was thus also relatively decentralised, depending on the local outbreak situations. While decentralisation likely gave flexibility, ability to improvise in a crisis and utilise the municipalities’ knowledge of local contexts, it also brought forward challenges of coordination between the national and municipal level. Lack of training, infection control and protection equipment thereby prevailed in several municipalities. Although in effect for limited periods of time, the Corona Act, which allowed for fairly severe restrictions, received mixed responses in the public sphere. Critical perceptions towards the Corona Act were not seen as a surprise, considering that Norwegian society has traditionally relied on its ‘dugnadskultur’ – a culture of voluntary contributions in the spirit of solidarity. Government representatives at the frontline of communication were also open about the degree of uncertainty coupled with considerable potential for great societal damage. Overall, the mitigation policy in Norway was successful in keeping the overall infection rates and mortality low, albeit with a few societal and political-administrative challenges. The case of Norway is thus indeed exemplary with regard to its effective mitigation measures and strong government support to mitigate the impact of those measures. However, it also goes to show how a country with good crisis preparedness systems, governance and a comprehensive welfare system was also left somewhat underprepared by the devastating consequences of the pandemic.
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Chen, Junping, Zach Adam, and Arie Admon. The Role of FtsH11 Protease in Chloroplast Biogenesis and Maintenance at Elevated Temperatures in Model and Crop Plants. United States Department of Agriculture, May 2013. http://dx.doi.org/10.32747/2013.7699845.bard.

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specific objectives of this proposal were to: 1) determine the location, topology, and oligomerization of FtsH11 protease; 2) identify the substrate/s of FtsH11 and the downstream components involved in maintaining thermostability of chloroplasts; 3) identify new elements involved in FtsH11 protease regulatory network related to HT adaptation processes in chloroplast; 4) Study the role of FtsH11 homologs from crop species in HT tolerance. Background to the topic: HT-tolerant varieties that maintain high photosynthetic efficiency at HT, and cope better with daily and seasonal temperature fluctuations are in great need to alleviate the effect of global warming on food production. Photosynthesis is a very complex process requiring accurate coordination of many complex systems and constant adjustments to the changing environments. Proteolytic activities mediated by various proteases in chloroplast are essential part of this process and critical for maintaining normal chloroplast functions under HT. However, little is known about mechanisms that contribute to adaptation of photosynthetic processes to HT. Our study has shown that a chloroplast-targeted Arabidopsis FtsH11 protease plays an essential and specific role in maintaining thermostability of thylakoids and normal photosynthesis at moderate HT. We hypothesized that FtsH11 homologs recently identified in other plant species might have roles similarly to that of AtFtsH1. Thus, dissecting the underlying mechanisms of FtsH11 in the adaptation mechanisms in chloroplasts to HT stress and other elements involved will aid our effort to produce more agricultural products in less favorable environments. Major conclusions, solutions, achievements - Identified the chloroplast inner envelope membrane localization of FtsH11. - Revealed a specific association of FtsH11 with the a and b subunits of CPN60. - Identified the involvement of ARC6, a protein coordinates chloroplast division machineries in plants, in FtsH11 mediated HT adaptation process in chloroplast. -Reveal possible association of a polyribonucleotide nucleotidyltransferase (cpPNPase), coded by At3G03710, with FtsH11 mediated HT adaptation process in chloroplast. - Mapped 4 additional loci in FtsH11 mediated HT adaptation network in chloroplast. - Demonstrated importance of the proteolytic activity of FtsH11 for thermotolerance, in addition to the ATPase activity. - Demonstrated a conserved role of plant FtsH11 proteases in chloroplast biogenesis and in maintaining structural and functional thermostability of chloroplast at elevated temperatures. Implications, both scientific and agricultural:Three different components interacting with FtsH11 were identified during the course of this study. At present, it is not known whether these proteins are directly involved in FtsH11mediated thermotolerance network in chloroplast and/or how these elements are interrelated. Studies aiming to connect the dot among biological functions of these networks are underway in both labs. Nevertheless, in bacteria where it was first studied, FtsH functions in heat shock response by regulating transcription level of σ32, a heat chock factor regulates HSPsexpression. FtsH also involves in control of biosynthesis of membrane components and quality control of membrane proteins etc. In plants, both Arc 6 and CPN60 identified in this study are essential in chloroplast division and developments as mutation of either one impairs chloroplast division in Arabidopsis. The facts that we have found the specific association of both α and β CPN60 with FtsH11 protein biochemically, the suppression/ enhancement of ftsh11 thermosensitive phenotype by arc6 /pnp allele genetically, implicate inter-connection of these networks via FtsH11 mediated network(s) in regulating the dynamic adaptation processes of chloroplast to temperature increases at transcriptional, translational and post-translational levels. The conserved role of FtsH11 proteases in maintaining thermostability of chloroplast at HT demonstrated here provides a foundation for improving crop photosynthetic performance at high temperatures.
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COVID-19: U.S. Impact on Antimicrobial Resistance, Special Report 2022. National Center for Emerging and Zoonotic Infectious Diseases, June 2022. http://dx.doi.org/10.15620/cdc:117915.

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CDC’s COVID-19: U.S. Impact on Antimicrobial Resistance, Special Report 2022, provides a snapshot of how the COVID-19 pandemic impacted antimicrobial resistance in the United States. Data have shown national progress in slowing the spread of antimicrobial resistance and preventing these infections is possible. However, the pandemic has undone much of the nation’s progress on antimicrobial resistance, especially in hospitals. CDC’s Special Report highlights the impact of COVID-19 on five core to combat antimicrobial resistance and on 18 pathogens, identified by CDC as urgent, serious, and concerning threats. The United States must continue to invest in the prevention-focused public health actions to combat antimicrobial resistance. CDC’s Antimicrobial Resistance Solutions Initiative has invested in domestic and global capacity to detect, respond, contain, and prevent the spread of resistance across health care, food, environment, and communities. These investments are working, but more work is needed. This was emphasized by the COVID-19 pandemic. CDC is exploring investments needed moving forward in the U.S. and global public health infrastructure to ensure a simultaneous response to the challenges of antimicrobial resistance and other emerging threats. The United States must continue to invest in preparing public health systems to address threats from multiple angles, simultaneously, and across One Health. If properly resourced, the United States can continue to build resilient domestic and global public health systems to keep our nation safe against the threats of antimicrobial-resistant pathogens. COVID-19: U.S. Impact on Antimicrobial Resistance, Special Report 2022, is a publication of the Antimicrobial Resistance Coordination and Strategy Unit within the Division of Healthcare Quality Promotion, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention. Suggested citation: CDC. COVID-19: U.S. Impact on Antimicrobial Resistance, Special Report 2022. Atlanta, GA: U.S. Department of Health and Human Services, CDC; 2022. https://www.cdc.gov/drugresistance/covid19.html
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