Добірка наукової літератури з теми "Distribued control"
Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями
Ознайомтеся зі списками актуальних статей, книг, дисертацій, тез та інших наукових джерел на тему "Distribued control".
Біля кожної праці в переліку літератури доступна кнопка «Додати до бібліографії». Скористайтеся нею – і ми автоматично оформимо бібліографічне посилання на обрану працю в потрібному вам стилі цитування: APA, MLA, «Гарвард», «Чикаго», «Ванкувер» тощо.
Також ви можете завантажити повний текст наукової публікації у форматі «.pdf» та прочитати онлайн анотацію до роботи, якщо відповідні параметри наявні в метаданих.
Статті в журналах з теми "Distribued control"
Nedić, Angelia, and Ji Liu. "Distributed Optimization for Control." Annual Review of Control, Robotics, and Autonomous Systems 1, no. 1 (May 28, 2018): 77–103. http://dx.doi.org/10.1146/annurev-control-060117-105131.
Повний текст джерелаME, E. Sankaran. "Distributed Control Systems in Food Processing." International Journal of Trend in Scientific Research and Development Volume-3, Issue-1 (December 31, 2018): 27–30. http://dx.doi.org/10.31142/ijtsrd18921.
Повний текст джерелаFrança, Bruno, Emanuel Emmerik, Juliano Caldeira, and Maurício Aredes. "Sliding Droop Control For Distributed Generation In Microgrids." Eletrônica de Potência 22, no. 4 (December 1, 2017): 429–39. http://dx.doi.org/10.18618/rep.2017.4.2726.
Повний текст джерелаSapaty, P. S. "Symbiosis of Distributed Simulation and Control under Spatial Grasp Technology." Mathematical machines and systems 3 (2020): 23–48. http://dx.doi.org/10.34121/1028-9763-2020-3-23-48.
Повний текст джерелаHARAMAKI, Shinya, Akihiro HAYASHI, Toshifumi SATAKE, and Shigeru AOMURA. "Distributed Cooperative Control System for Multi-jointed Redundant Manipulator(Control Theory and Application,Session: MA1-B)." Abstracts of the international conference on advanced mechatronics : toward evolutionary fusion of IT and mechatronics : ICAM 2004.4 (2004): 21. http://dx.doi.org/10.1299/jsmeicam.2004.4.21_2.
Повний текст джерелаMoreno Navarro, I., E. Martín Candelario, and M. Álvarez Alonso. "Métodos de control en sistemas domóticos: últimas tendencias en sistemas distribuidos." Informes de la Construcción 50, no. 459 (February 28, 1999): 43–53. http://dx.doi.org/10.3989/ic.1999.v50.i459.830.
Повний текст джерелаHam, Won K., Yongho Chung, and Sang C. Park. "Distributed System Design for the Control and Evaluation of Engagement Simulations." International Journal of Modeling and Optimization 4, no. 3 (June 2014): 171–75. http://dx.doi.org/10.7763/ijmo.2014.v4.368.
Повний текст джерелаLUCHIAN, Andrei-Mihai, and Mircea BOȘCOIANU. "DISTRIBUTED COMMUNICATION AND CONTROL FOR MULTIAGENT SYSTEMS: MICROINDUSTRIAL VEHICLE ROTORS (MAV)." SCIENTIFIC RESEARCH AND EDUCATION IN THE AIR FORCE 20 (June 18, 2018): 197–202. http://dx.doi.org/10.19062/2247-3173.2018.20.25.
Повний текст джерелаBorkute, Ruchali, and Nikita Malwar. "Control for Grid Connected and Intentional Islanding of Distributed Power Generation." International Journal of Trend in Scientific Research and Development Volume-3, Issue-4 (June 30, 2019): 333–36. http://dx.doi.org/10.31142/ijtsrd23679.
Повний текст джерелаPrince, Daryl. "Distributed Control." Mechanical Engineering 121, no. 01 (January 1, 1999): 68–69. http://dx.doi.org/10.1115/1.1999-jan-6.
Повний текст джерелаДисертації з теми "Distribued control"
Piardi, Artur Bohnen. "Proposta de uma estrutura híbrida de controle para sistemas de excitação de geradores síncronos distribuídos." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/18/18154/tde-19032018-075506/.
Повний текст джерелаWith the advent of distributed generation, the possibility of autonomous operation regarding the bulk power systems was allowed to the distribution systems. Despite its advantages, from the technical point of view, there are lots of challenges that need to be overcome for the full application of this concept. One of these challenges is the transition of distributed generators operating modes during the islanding process. Based in the literature survey, it is inferred that transition is performed in a wrong way, which amplifies the transients in controlled generator quantities and consequently, of the network connected to it during the islanding process, which is undesirable. In this context, the main contribution of this research is the proposal of a hybrid control structure to be applied to the excitation systems of synchronous generators that operate in distribution systems whose islanded operation of determined portions of its grids is permitted. The main characteristic of the proposed structure is the attenuation of transients of the controlled generator quantities during the islanding process. Furthermore, the design of this structure provides a compromise between the generator reactive power and terminal voltage when it operates in parallel with the bulk power systems. That way, the control system maintains the reactive power close to the adjusted reference attending an appropriate range of terminal voltage values.
Pham, Hoang Anh. "Coordination de systèmes sous-marins autonomes basée sur une méthodologie intégrée dans un environnement Open-source." Electronic Thesis or Diss., Toulon, 2021. http://www.theses.fr/2021TOUL0020.
Повний текст джерелаThis thesis studies the coordination of autonomous underwater robots in the context of coastal seabed exploration or facility inspections. Investigating an integrated methodology, we have created a framework to design and simulate low-cost underwater robot controls with different model assumptions of increasing complexity (linear, non-linear, and finally non-linear with uncertainties). By using this framework, we have studied algorithms to solve the problem of formation control, collision avoidance between robots and obstacle avoidance of a group of underwater robots. More precisely, we first consider underwater robot models as linear systems of simple integrator type, from which we can build a formation controller using consensus and avoidance algorithms. We then extend these algorithms for the nonlinear dynamic model of a Bluerov robot in an iterative design process. Then we have integrated a Radial Basis Function neural network, already proven in convergence and stability, with the algebraic controller to estimate and compensate for uncertainties in the robot model. Finally, we have presented simulation results and real basin tests to validate the proposed concepts. This work also aims to convert a remotely operated ROV into an autonomous ROV-AUV hybrid
Nguyen, Thi Thanh Quynh. "A new approach for distributed programming in smart grids." Thesis, Université Grenoble Alpes (ComUE), 2019. http://www.theses.fr/2019GREAT079.
Повний текст джерелаThe main challenge of smart grids control and management is the amount of data to be processed. Traditional, centralized techniques, even if they offer the advantage of the ease of management by their global grid vision, do not support in practice the continuous growth of data volumes (limited bandwidth, bottleneck, amount of calculations, etc.). The transition to decentralized(distributed)control and management, where the system is made up of a multitude of co-operating computing units, offers very good prospects (robustness, calculation close to the producers and consumers of data, exploitation of data in all available resources), but remains challenging to implement. In fact, the programming of distributed algorithms requires taking into account the data exchanges and the synchronization of the participating units; this complexity increases with the number of units. In this thesis, we propose an innovative approach of programming of a high level of abstraction masking these difficulties.First, we propose to abstract all Smartgrid computing units (smart meters, sensors, data concentrators, etc.) as a distributed database. Each computing unit hosts a local database and only the data needed to continue the calculation are exchanged with other units, which decreases the use of the available bandwidth. The use of a declarative data handling language will simplify the programming of control and management applications. Besides, we also propose SmartLog, a rule-based language (based on the Datalog language and its derivatives dedicated to these applications. It facilitates distributed programming of Smartgrid applications by immediately responding to any changes in the data.Even with a language such as SmartLog, it is necessary to take into account the data exchange and the synchronization of the participants. This is why we then propose an approach that simplifies distributed programming. This approach, named CPDE for Centralized Programming and Distributed Execution, consists of two steps: (i) programming the centralized application in SmartLog, as this is easier, and (ii) translating the centralized program into a distributed program based on the actual location of the data. To do this, we propose a semi-automatic Smartlog rule distribution algorithm.In order to demonstrate the interest of CPDE, we conducted a comprehensive experiment using applications and algorithms actually used in Smartgrids, such as secondary control in isolated micro-grids or fair voltage regulation. The experiment was carried out on a real-time electrical network simulation platform, with an OPAL-RT simulation machine, and a Raspberry-Pi network representing the computing units (their performances are quite comparable to the real equipment). This experiment allowed validating the behaviours and the performances of the distributed programs conceived with CPDE, and comparing to their centralized versions in SmartLog and their reference versions implanted in Java. The impact of different parameters, such as the number of calculation units or different data distribution alternatives, is studied as well
Dal, col Laura. "On distributed control analysis and design for Multi-Agent systems subject to limited information." Thesis, Toulouse, INSA, 2016. http://www.theses.fr/2016ISAT0034/document.
Повний текст джерелаMulti-agent systems are dynamical systems composed of multiple interacting elements known as agents . Each agent is a dynamical system with two characteristics. First, it is capable of autonomous action—that is, it is able to evolve according to a self-organised behavior, which is not influenced by the external environment. Second, it is able to exchange information with other agents in order to accomplish complex tasks, such as coordination, cooperation, and conflict resolution. One commonly studied problem in multi-agent systems is synchronization. The agents are synchronized when their time evolutions converge to a common trajectory. Many real-world applications, such as flocking and formation control, can be cast as synchronization problems. Agent synchronization can be achieved using different approaches. In this thesis, we propose distributed and centralized control paradigms for the synchronization of multi-agent systems. We develop necessary and sufficient conditions for the synchronization of multi-agent systems, composed by identical linear time-invariant agents, us- ing a Lyapunov-based approach. Then we use these conditions to design distributed synchronization controllers. Then, we extend this result to multi-agent systems subject to external disturbances enforcing disturbance rejection with 퐻 ∞ control techniques. Furthermore, we extend the analysis to multi-agent systems with actuator constraints using LMI-based anti-windup techniques. We test the proposed control design strategies in simulated examples among which two are inspired by real-world applications. In the first, we study airplane formation control as a synchronization problem. In the second, we analyze the delivery of video streams as a synchronization problem and we compare the results to existing controllers
Rossi, Luís Filipe Fragoso de Barros e. Silva. "Sistema para sensoriamento e controle para aplicações em biomecatrônica." Universidade de São Paulo, 2012. http://www.teses.usp.br/teses/disponiveis/3/3140/tde-10052012-121527/.
Повний текст джерелаSeveral works related to the development of biomechatronic robotic systems are being taken in several laboratories around the world. Despite this increasing trend, due to a lack of standardization in the used technologies, in special related to the control and sensing system, there is a wide divergence in the resulting system. In order to meet the project requirements, a lot of time is spent in the development of a custom control and sensing system. In this scenario, a modular sensing and control system specifically designed to be used in robotic systems, was designed and implemented. The last was developed in order to be used in several projects, thus reducing the effort spent on its implementation. This system was divided into three modules: Central Processor, Nodes and Communication Network. A special attention was given to the aspects related to the communication as it is the key-factor to keep compatibility among different systems. A communication network named R-Bone was developed, and its implementation was detailed. All the relevant technical aspects were described in order to facilitate its replication by other groups. A driver for the Linux operating system was developed in conjunction with an abstraction layer to simplify its use. The tests demonstrated that the system meets the proposed requirements, keeping a proper stability condition in the response time, low latency and little skew between the signals collected by the sensors. In order to contribute to a possible standardization of the systems used in the biomechatronics field, all the files with relevant information to make possible the replication of the proposed system were made available under the GNU LGPL license in a SVN server.
Gionfra, Nicolo. "Stratégies de commande distribuée pour l’optimisation de la production des fermes éoliennes." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLC017/document.
Повний текст джерелаIn this PhD work we focus on the wind farm (WF) active power control since some of the new set grid requirements of interest can be expressed as specifications on its injection in the electric grid. Besides, one of our main objectives is related to the wind farm power maximization problem under the presence on non-negligible wake effect. The chosen WF control architecture has a two-layer hierarchical distributed structure. First of all, the wind turbine (WT) control is addressed. Here, a nonlinear controller lets a WT work in classic zones of functioning as well as track general deloaded power references. This last feature is a necessary condition to accomplish the WF control specifications. Secondly, the high level WF control problem is formulated as an optimization problem distributed among the WTs. Two novel distributed optimization algorithms are proposed, and their performance tested on different WF examples. Both are based on the well-known particle swarm optimization algorithm, which we modify and extend to be applicable in the multi-agent system framework. Finally, the overall WF control is evaluated by taking into account the WTs controlled dynamics. Simulations show potential significant power gains. Eventually, the introduction of a new control level in the hierarchical structure between the WF optimization and the WTs controllers is proposed. The idea is to let further cooperation among the WT local controllers, via a consensusbased technique, to enhance the overall system performance
Rawlings, Trevor. "Distributed control architecture." Thesis, Loughborough University, 2009. https://dspace.lboro.ac.uk/2134/6077.
Повний текст джерелаIyer, Ranjit. "Probabilistic distributed control." Diss., Restricted to subscribing institutions, 2008. http://proquest.umi.com/pqdweb?did=1568128211&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.
Повний текст джерелаFabbiano, Ruggero. "Collaborative source-seeking control." Thesis, Université Grenoble Alpes (ComUE), 2015. http://www.theses.fr/2015GREAT038/document.
Повний текст джерелаThe dissertation faces the problem of source localisation, a topic which has been extensively studied in recent literature due to its large number of applications. In particular, it focuses on steering multiple sensors, able to take point-wise measurements of the emitted quantity, towards the source without making use of any position information, which happens to be unavailable in many practical cases (for example, underwater or underground exploration). By making some assumptions on the diffusion process, we develop a model which allows us to use some mathematical tools (the Poisson integral and its derivatives) for a simple approximation of the gradient of the function describing the diffusion process, whose source represents its maximum, making it possible to perform a gradient ascent to find the source location. The contributions are threefold: first, we use such tools to solve a 2-dimensional centralised source-seeking problem, where a single vehicle, equipped with multiple sensors and without position information, is moving in a planar environment where a source is supposed to emit. Then, we extend it to a 3-dimensional framework, considering a flying vehicle equipped with sensors moving in the space; for this more general case, in addition to simulation validation, we provide a theoretical study of the convergence properties of the proposed control law. Finally, we tackle the distributed source-localisation problem, considering several autonomous moving sensors (in two dimensions); in addition to the problem of implementing the source-localisation algorithm in a distributed manner, in this latter case we have also to guarantee a suitable formation control, to ensure the correctness of the gradient estimation and hence reach the source
Reis, Giann Braune. "Estratégia de controle fuzzy para um grupo motor gerador a diesel operando isolado ou conectado à rede de distribuição." Universidade de São Paulo, 2014. http://www.teses.usp.br/teses/disponiveis/18/18153/tde-23022015-133705/.
Повний текст джерелаThis thesis proposes a control strategy for a diesel generating set as a distributed generation source covering the mechanical part of the system which includes speed and active power control, the electrical part of the system which includes voltage and reactive power control, and also the synchronism control with the grid. The control strategy was based on a fuzzy logic which used a fixed controller surface for the fuzzy controllers. The effect of the disturbances caused by the grid connection and the disturbances caused by the activation of a induction motor, non controled rectifier and a RLC load types were investigated. Power flow simulation results for the grid-connected mode was obtained with a IEEE -1547 standard feeder. The simulations results for both stand-alone and gridconnected operations using fuzzy controllers were superior when compared to commercial methods. An experimental setup was also used to analyze the system responses under isolated mode with the proposed fuzzy controller and with the commercial controllers for comparison proposes. In this context, it is expected that this work contributes to the development of control and energy processing research area, since solutions for energy production using distributed generation have strategic importance and have been the focus of investment and discussions from governments, companies and universities.
Книги з теми "Distribued control"
Guo, Yi. Distributed Cooperative Control. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2017. http://dx.doi.org/10.1002/9781119216131.
Повний текст джерелаNocetti, D. Fabian Garcia. Reconfigurable distributed control. London: Springer, 2005.
Знайти повний текст джерелаBenitez-Pérez, Héctor. Reconfigurable distributed control. London, UK: Springer, 2004.
Знайти повний текст джерелаLi, Zhongkui, Bin Cheng, Weihao Song, and Shiqi Zhang. Distributed Event-triggered Control. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-8170-0.
Повний текст джерелаContinuous control techniques for distributed control systems. Research Triangle Park, NC: Instrument Society of America, 1989.
Знайти повний текст джерелаHan, Fei, Zidong Wang, and Hongli Dong. Distributed Filtering, Control and Synchronization. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97075-8.
Повний текст джерелаChristofides, Panagiotis D., Jinfeng Liu, and David Muñoz de la Peña. Networked and Distributed Predictive Control. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-582-8.
Повний текст джерелаvan 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.
Повний текст джерелаJohansson, Rolf, and Anders Rantzer, eds. Distributed Decision Making and Control. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2265-4.
Повний текст джерелаAnders, Rantzer, and SpringerLink (Online service), eds. Distributed Decision Making and Control. London: Springer London, 2012.
Знайти повний текст джерелаЧастини книг з теми "Distribued control"
Cao, Jiannong, Sajal K. Das, Yudong Sun, and Xianbing Wang. "Distributed Control." In Mobile Agents in Networking and Distributed Computing, 189–218. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118135617.ch8.
Повний текст джерелаWeik, Martin H. "distributed control." In Computer Science and Communications Dictionary, 442. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_5390.
Повний текст джерелаLoy, Dietmar, Dietmar Dietrich, and Hans-Joerg Schweinzer. "Distributed System." In Open Control Networks, 43–57. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1475-6_2.
Повний текст джерелаThomasian, Alexander. "Distributed Databases." In Database Concurrency Control, 111–17. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4757-2473-8_6.
Повний текст джерелаGrüne, Lars, and Jürgen Pannek. "Distributed NMPC." In Nonlinear Model Predictive Control, 259–95. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46024-6_9.
Повний текст джерелаSeck, Babacar, and J. Fraser Forbes. "Coordinated, Distributed Plantwide Control." In Plantwide Control, 417–40. Chichester, UK: John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781119968962.ch19.
Повний текст джерелаFukuda, Toshio, Isao Takagawa, Kosuke Sekiyama, and Yasuhisa Hasegawa. "Hybrid Approach of Centralized Control and Distributed Control For Flexible Transfer System." In Distributed Manipulation, 65–85. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4545-3_4.
Повний текст джерелаHuang, Panfeng, and Fan Zhang. "Distributed Deployment Control." In Theory and Applications of Multi-Tethers in Space, 115–49. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0387-0_5.
Повний текст джерелаWeske, Mathias. "Distributed Concurrency Control." In Encyclopedia of Database Systems, 1–5. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4899-7993-3_833-2.
Повний текст джерелаWeske, Mathias. "Distributed Concurrency Control." In Encyclopedia of Database Systems, 879–83. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_833.
Повний текст джерелаТези доповідей конференцій з теми "Distribued control"
Edwards, Alec, Jan-Peter Calliess, and Kostas Margellos. "Distributed Optimisation for Energy Management in Building Networks." In 2018 UKACC 12th International Conference on Control (CONTROL). IEEE, 2018. http://dx.doi.org/10.1109/control.2018.8516737.
Повний текст джерелаLing, Weifang, Minyou Chen, Zuolin Wei, Feixiong Chen, Lei Yu, and David C. Yu. "A distributed optimal control method for active distribution network." In 2016 UKACC 11th International Conference on Control (CONTROL). IEEE, 2016. http://dx.doi.org/10.1109/control.2016.7737568.
Повний текст джерелаHernandez, Bernardo, and Paul Trodden. "Distributed model predictive control using a chain of tubes." In 2016 UKACC 11th International Conference on Control (CONTROL). IEEE, 2016. http://dx.doi.org/10.1109/control.2016.7737610.
Повний текст джерелаQin, Yuanqing, Chunjie Zhou, Shuang-Hua Yang, and Fang Wang. "A distributed newton iteration based localization scheme in underground tunnels." In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334743.
Повний текст джерелаLi, Lulu, Daniel W. C. Ho, and Jianquan Lu. "Distributed practical consensus in multi-agent networks with communication constrains." In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334779.
Повний текст джерелаElmetennani, Shahrazed, and Taous Meriem Laleg-Kirati. "Fuzzy universal model approximator for distributed solar collector field control." In 2014 UKACC International Conference on Control (CONTROL). IEEE, 2014. http://dx.doi.org/10.1109/control.2014.6915140.
Повний текст джерелаSong, Wen, Hao Zhang, Huaicheng Yan, and Chen Peng. "Distributed event triggered H∞ filtering with nonhomogeneous Markov switching topologies." In 2016 UKACC 11th International Conference on Control (CONTROL). IEEE, 2016. http://dx.doi.org/10.1109/control.2016.7737572.
Повний текст джерелаWang, Yan, Shuai Deng, Ying Zhang, Dan Wang, and Yunfei Mu. "Dynamic match optimzation: Emerging control concept of sustainable distributed energy system." In 2016 UKACC 11th International Conference on Control (CONTROL). IEEE, 2016. http://dx.doi.org/10.1109/control.2016.7737583.
Повний текст джерелаEjegi, E. E., J. A. Rossiter, and P. Trodden. "Distributed model predictive load frequency control of a deregulated power system." In 2016 UKACC 11th International Conference on Control (CONTROL). IEEE, 2016. http://dx.doi.org/10.1109/control.2016.7737648.
Повний текст джерелаTomic, Ivana, and George D. Halikias. "Performance analysis of distributed control configurations in LQR multi-agent system design." In 2016 UKACC 11th International Conference on Control (CONTROL). IEEE, 2016. http://dx.doi.org/10.1109/control.2016.7737530.
Повний текст джерелаЗвіти організацій з теми "Distribued control"
Morse, A. S. Intelligent Distributed Control. Fort Belvoir, VA: Defense Technical Information Center, August 2012. http://dx.doi.org/10.21236/ada567139.
Повний текст джерелаHickey, Jason, John Hauser, and Richard Murray. High Confidence Reconfigurable Distributed Control. Fort Belvoir, VA: Defense Technical Information Center, April 2005. http://dx.doi.org/10.21236/ada435114.
Повний текст джерелаHickey, Jason, John Hauser, and Richard Murray. High Confidence Reconfigurable Distributed Control. Fort Belvoir, VA: Defense Technical Information Center, April 2005. http://dx.doi.org/10.21236/ada435174.
Повний текст джерелаTreado, Stephen J., Steven C. Cook, and Michael Galler. Distributed biometric access control testbed. Gaithersburg, MD: National Institute of Standards and Technology, 2004. http://dx.doi.org/10.6028/nist.ir.7190.
Повний текст джерелаSubbarao, Krishnappa, Jason C. Fuller, Karanjit Kalsi, Jianming Lian, and Ebony T. Mayhorn. Transactive Control and Coordination of Distributed Assets for Ancillary Services: Controls, Markets and Simulations. Office of Scientific and Technical Information (OSTI), February 2015. http://dx.doi.org/10.2172/1411942.
Повний текст джерелаSeidman, Thomas I. Control Theory and Distributed Parameter Systems. Fort Belvoir, VA: Defense Technical Information Center, January 1986. http://dx.doi.org/10.21236/ada182808.
Повний текст джерелаJajodia, Sushil. Replica Control Algorithms in Distributed Databases. Fort Belvoir, VA: Defense Technical Information Center, July 1993. http://dx.doi.org/10.21236/ada271571.
Повний текст джерелаKohn, W., J. B. Remmel, and A. Nerode. Reactive Control of Distributed Interactive Simulations. Fort Belvoir, VA: Defense Technical Information Center, March 1998. http://dx.doi.org/10.21236/ada344363.
Повний текст джерелаKlevans, E. H. Intelligent distributed control for nuclear power plants. Office of Scientific and Technical Information (OSTI), September 1991. http://dx.doi.org/10.2172/10104980.
Повний текст джерелаSmith, Randall B., Laurence R. Phillips, Hamilton E. Link, and Laura Weiland. Agent-based control of distributed infrastructure resources. Office of Scientific and Technical Information (OSTI), January 2006. http://dx.doi.org/10.2172/883135.
Повний текст джерела