Literatura académica sobre el tema "Networked Control with delays"
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Artículos de revistas sobre el tema "Networked Control with delays"
Ge, Yuan, Qigong Chen, Ming Jiang y Yiqing Huang. "Modeling of Random Delays in Networked Control Systems". Journal of Control Science and Engineering 2013 (2013): 1–9. http://dx.doi.org/10.1155/2013/383415.
Texto completoLi, Hongbo, Fuchun Sun y Zengqi Sun. "Delay-Dependent Fuzzy Control of Networked Control Systems and Its Application". Mathematical Problems in Engineering 2013 (2013): 1–9. http://dx.doi.org/10.1155/2013/691370.
Texto completoWang, Yilin, Hamid Reza Karimi y Zhengrong Xiang. "Delay-Dependent Control for Networked Control Systems with Large Delays". Mathematical Problems in Engineering 2013 (2013): 1–10. http://dx.doi.org/10.1155/2013/643174.
Texto completoBijami, Ehsan y Malihe Maghfoori Farsangi. "A distributed control framework and delay-dependent stability analysis for large-scale networked control systems with non-ideal communication network". Transactions of the Institute of Measurement and Control 41, n.º 3 (16 de mayo de 2018): 768–79. http://dx.doi.org/10.1177/0142331218770493.
Texto completoWang, Yan Ping, Qi Xin Zhu y Zhi Ping Li. "Optimal State Feedback Control in Operator Domain for Multi-Rate Networked Control Systems with Long Time Delay". Applied Mechanics and Materials 241-244 (diciembre de 2012): 1672–76. http://dx.doi.org/10.4028/www.scientific.net/amm.241-244.1672.
Texto completoNaghavi, S. Vahid, A. A. Safavi, Mohammad Hassan Khooban, S. Pourdehi y Valiollah Ghaffari. "A robust control strategy for a class of distributed network with transmission delays". COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 35, n.º 5 (5 de septiembre de 2016): 1786–813. http://dx.doi.org/10.1108/compel-08-2015-0287.
Texto completoZhang, Jinhui, James Lam y Yuanqing Xia. "Output feedback delay compensation control for networked control systems with random delays". Information Sciences 265 (mayo de 2014): 154–66. http://dx.doi.org/10.1016/j.ins.2013.12.021.
Texto completoLiu, Zhong Min, Yi Wei Feng y Dong Song Luo. "New Approaches for Network-Based Control Systems with Time-Varying Delays". Applied Mechanics and Materials 152-154 (enero de 2012): 1821–27. http://dx.doi.org/10.4028/www.scientific.net/amm.152-154.1821.
Texto completoBenítez-Pérez, H., A. Benítez-Pérez, J. Ortega-Arjona y O. Esquivel-Flores. "Fuzzy Networked Control Systems Design Considering Scheduling Restrictions". Advances in Fuzzy Systems 2012 (2012): 1–9. http://dx.doi.org/10.1155/2012/927878.
Texto completoPang, Zhong-Hua, Zhen-Yi Liu, Zhe Dong y Tong Mu. "An Event-Triggered Networked Predictive Control Method Using an Allowable Time Delay". Journal of Advanced Computational Intelligence and Intelligent Informatics 26, n.º 5 (20 de septiembre de 2022): 768–75. http://dx.doi.org/10.20965/jaciii.2022.p0768.
Texto completoTesis sobre el tema "Networked Control with delays"
Deng, Yang. "Delay estimation and predictor-based control of time-delay systems with a class of various delays". Thesis, Ecole centrale de Nantes, 2020. http://www.theses.fr/2020ECDN0014.
Texto completoTime-delay is a widely-found phenomenon (i.e. physical dead time, communication latency, computation time) in real control systems, which can degrade the performances of the system or destabilize the system. If the time-delay is small, then the closed-loop stability can be guaranteed with conventional control techniques; but these techniques are no longer effective if the time-delay is long. This thesis is dedicated to the control of time-delaysystemswithunknown or uncertain long time-delays. In order to compensate long time-delays, the predictor-based control technique is adopted, and the delay estimation techniques are developed to assist the predictor-based controller. According to the different types of the systems and the time-delays, three objectives are analyzed in the thesis. The first objective considers the control of LTI systems with unknown constant delays, a new type of delay estimator is proposed to estimate the unknown time-delays, then it is plugged into apredictor-based controller to stabilize the system. The second objective focuses on the practical stabilization of remote control systems with unknown time-varying delays, at this time, the time-delays are estimated by a practical way: a specific communication loop is used to estimate the round-trip delay in finite time, and the system is stabilized with a predictor-based controller. This practical delay estimation algorithm is implemented on a real WiFi network, it can estimate the time-varying delays with good performances and robustness. The last objective is devoted to the control of networked control systems with time-varying delays, the discrete predictor-based control techniques are used to compensate long time-varyingdelays,and the packet reordering in the sensor-to-controller channel is also considered. Moreover, this control solution is validated on a networked visual servo inverted pendulum system, and the control performances are fairly better than the non-predictive control methods
Demirel, Burak. "Architectures and Performance Analysis of Wireless Control Systems". Doctoral thesis, KTH, Reglerteknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-165767.
Texto completoQC 20150504
Seuret, Alexandre, Dimos V. Dimarogonas y Karl Henrik Johansson. "Consensus under communication delays". KTH, Reglerteknik, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-28520.
Texto completoQC 20110120
Sargolzaei, Arman. "Time-Delay Switch Attack on Networked Control Systems, Effects and Countermeasures". FIU Digital Commons, 2015. http://digitalcommons.fiu.edu/etd/2175.
Texto completoNygren, Johannes. "Input-Output Stability Analysis of Networked Control Systems". Doctoral thesis, Uppsala universitet, Reglerteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-272344.
Texto completoMkondweni, Ncedo Sandiso. "Design and implementation of linear robust networked control systems". Thesis, Cape Peninsula University of Technology, 2013. http://hdl.handle.net/20.500.11838/1195.
Texto completoNetworked Control Systems is a control system where the plant and the controller exchange information via a shared communication network and the network is considered as part of the closed loop control system. Unfortunately the network introduces network induced random varying time delays and data packet loss amongst the communication network imperfections. The network delays are considered to be between the controller and the actuator and between the sensor and the controller. These network imperfections degrade the performance of the closed loop control system and result in closed loop system instability. The complexity of measuring the communication network imperfection in networked control systems makes it difficult for the control engineers to develop methods for design of controllers that can incorporate and compensate these imperfections in order to improve the performance of the networked control systems. In this thesis a co-simulation toolset called LabNS2 is developed to address the first problem of measuring the communication network imperfections by providing an ideal environment that can be used to investigate the influence of network time delays or packet loss. The software environment of the toolset is based on LabVIEWTM and Network Simulator Version 2 (NS2). A new robust predictive optimal controller design method is developed to address the problem of the destabilising effect of the network induced time delay between the controller and the actuator. The design approach is based on time shifting of the optimisation horizon and a state predictor. The design of the controller is based on a model of the plant with delay in the control vector equal to the delay between the controller and the actuator or to the sum of the delays between the controller and the actuator and between the sensor and the controller. The time shifting approach allows the design of the controller to be performed for a model without time delay. Then the control action is based on the future values of the state space vector estimates. The state predictor is developed to predict these future values of the state using the present and past values of the state estimates and control actions. This technique is made possible by the use of the plant model Transition Matrix. A Discrete Kalman Filter is modified to address the problem of the destabilising effect of the network induced time delay between the sensor and the controller. An additional state estimation vector is added to the filter estimate at every current moment of time. iv The developed methods are implemented for networked control of a dish antenna driven by two stepper motors. The outcomes of the thesis can be used for the education and fundamental research purposes, but the developed control strategies have significant sense towards the Square Kilometer Array projects and satellite systems industry.
National Research Foundation
Wang, Bo. "Analysis and implementation of time-delay systems and networked control systems". Thesis, University of South Wales, 2008. https://pure.southwales.ac.uk/en/studentthesis/analysis-and-implementation-of-timedelay-systems-and-networked-control-systems(f54e4378-db9b-443d-b505-88b4af5bb72a).html.
Texto completoShi, Xiaohan. "A reliable real-time transport protocol for networked control systems over wireless networks". Thesis, Queensland University of Technology, 2012. https://eprints.qut.edu.au/60160/1/Xiaohan_Shi_Thesis.pdf.
Texto completoGui, Li. "A transport protocol for real-time applications in wireless networked control systems". Thesis, Queensland University of Technology, 2010. https://eprints.qut.edu.au/45460/1/Li_Gui_Thesis.pdf.
Texto completoMoraes, Vitor Mateus. "Delay-dependent output feedback compensators for a class of networked control systems". reponame:Repositório Institucional da UFSC, 2014. https://repositorio.ufsc.br/xmlui/handle/123456789/128874.
Texto completoMade available in DSpace on 2015-02-05T20:26:24Z (GMT). No. of bitstreams: 1 330228.pdf: 1707908 bytes, checksum: e9e7656943afa359919bcdb455b78423 (MD5) Previous issue date: 2014
Sistemas de controle via rede (NCS, do inglês Networked Control Systems) são uma classe especial de sistemas amostrados digitalmente, nos quais os dispositivos do sistema de controle se comunicam através de uma rede de comunicação (como mostrado na Fig. I). Significantes avanços tecnológicos tem levado a um maior interesse tanto na utilização de NCS em ambiente industrial (MOYNE; TILBURY, 2007), quanto em pesquisas relacionadas ao assunto (HESPANHA; NAGHSHTABRIZI; XU,2007; HEEMELS; WOUW, 2010; ZHANG; GAO; KAYNAK, 2013). Algumas das vantagens oferecidas por tais sistemas, com relação a sistemas de controle tradicionais, compreendem menor custo de implementação, flexibilidade e facilidade de manutenção. Apesar disso, inerentemente alguns efeitos indesejados também podem ocorrer, tais como atrasos na comunicação e intervalos de amostragem variantes, ocasionando degradação no desempenho do sistema em malha fechada. Devido a esses efeitos, a análise de estabilidade e também o projeto de controladores para NCS tornam-se mais desafiadores (TANG; YU, 2007). De modo geral, os estudos sobre NCS podem ser divididos em duas grandes áreas: controle da rede e controle via rede (GUPTA; CHOW, 2010). A primeira está mais interessada em proporcionar uma melhor qualidade no serviço de transmissão de dados realizado pela rede de comunicação, enquanto a segunda objetiva uma melhor qualidade do desempenho dos sistemas de controle sob determinadas condições induzidas pelos efeitos da utilização da rede. Embora tipicamente tratadas de forma separada, recentemente alguns esforços têm sido empreendidos de modo a integrar algumas características de ambas as áreas em fase de projeto, as chamadas estratégias de co-design (TORNGREN et al., 2006). Uma abordagem integrada é necessária de modo a se obter uma maior compreensão do funcionamento de um NCS, podendo assim obter um melhor desempenho geral do sistema. Neste contexto, especialmente levando em consideração que o uso rede de comunicação é limitado, tal recurso deve ser corretamente distribuído entre os sistemas de controle de modo a garantir um funcionamento adequado. Além disso, requisitos de desempenho individuais de cada planta também devem ser cumpridos, mesmo sujeitos a tais restrições de limites de recursos.
Abstract: Networked control system (NCS) is a special class of sampled-data system where control systems devices are interconnected through a communication network. Despite the advantages, such as lower cost, flexibility and easy of maintenance compared to a more traditional implementation, some undesired effects may be induced by the use of a shared medium in the feedback loop, for instance, time-varying sampling intervals and delays. Due to the multidisciplinary nature of an NCS, the analysis and design of such systems also demand a more comprehensive approach. Thus, the main objective of this thesis is to propose some strategies for the synthesis of dynamic output feedback compensators, assuming an industrial network control system environment with temporal behavior features and requirements. Throughout this document, the NCS is modeled considering unknown time-varying delays, which leads to an uncertain system representation, later overapproximated by a convex polytope with additional norm-bounded uncertainty. Based on parameter dependent Lyapunov functions, closed-loop stability conditions are provided, which can be verified in terms of feasibility of a set of linear matrix inequalities (LMIs). The control designs are then promptly derived from the stability conditions, leading to delay-dependent compensators. Furthermore, an integrated control design and resource management strategy is proposed, taking into account the controller design while also addressing the shared nature of the communication network. This co-design strategy assumes that a supervisor task has the knowledge of all devices that access the network, as well as their allocated bandwidths. Numerical examples and simulations are provided to illustrate the effectiveness of the proposed design methodologies.
Libros sobre el tema "Networked Control with delays"
Seuret, Alexandre, Laurentiu Hetel, Jamal Daafouz y Karl H. Johansson, eds. Delays and Networked Control Systems. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32372-5.
Texto completoHuang, Dan y Sing Kiong Nguang. Robust Control for Uncertain Networked Control Systems with Random Delays. London: Springer London, 2009. http://dx.doi.org/10.1007/978-1-84882-678-6.
Texto completoKiong, Nguang Sing y SpringerLink (Online service), eds. Robust control for uncertain networked control systems with random delays. Berlin: Springer Verlag, 2009.
Buscar texto completoMayer, Christopher J. Network effects, congestion externalities, and air traffic delays: Or why all delays are not evil. Cambridge, MA: National Bureau of Economic Research, 2002.
Buscar texto completoSo, Jimmy Kin Cheong. Delay modeling and controller design for networked control systems. Ottawa: National Library of Canada, 2003.
Buscar texto completoWang, Zhanshan, Zhenwei Liu y Chengde Zheng. Qualitative Analysis and Control of Complex Neural Networks with Delays. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-47484-6.
Texto completoMaurice, Heemels y Johansson Mikael, eds. Networked control systems. Berlin: Springer, 2010.
Buscar texto completoBemporad, Alberto, Maurice Heemels y Mikael Johansson, eds. Networked Control Systems. London: Springer London, 2010. http://dx.doi.org/10.1007/978-0-85729-033-5.
Texto completoWang, Fei-Yue y Derong Liu, eds. Networked Control Systems. London: Springer London, 2008. http://dx.doi.org/10.1007/978-1-84800-215-9.
Texto completoLi, Zhijun, Yuanqing Xia y Chun-Yi Su. Intelligent Networked Teleoperation Control. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-46898-2.
Texto completoCapítulos de libros sobre el tema "Networked Control with delays"
Abdelrahim, Mahmoud, Romain Postoyan, Jamal Daafouz y Dragan Nešić. "Output Feedback Event-Triggered Control". En Delays and Networked Control Systems, 113–31. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32372-5_7.
Texto completoIrofti, Dina-Alina, Islam Boussaada y Silviu-Iulian Niculescu. "On the Codimension of the Singularity at the Origin for Networked Delay Systems". En Delays and Networked Control Systems, 3–15. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32372-5_1.
Texto completoLi, Xu-Guang, Arben Çela y Silviu-Iulian Niculescu. "Stabilization of Networked Control Systems with Hyper-Sampling Periods". En Delays and Networked Control Systems, 167–80. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32372-5_10.
Texto completoRubio, Alicia Arce, Alexandre Seuret, Yassine Ariba y Alessio Mannisi. "Optimal Control Strategies for Load Carrying Drones". En Delays and Networked Control Systems, 183–97. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32372-5_11.
Texto completoMillán, Pablo, Luis Orihuela y Isabel Jurado. "Delays in Distributed Estimation and Control over Communication Networks". En Delays and Networked Control Systems, 199–216. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32372-5_12.
Texto completoBragagnolo, Marcos Cesar, Irinel-Constantin Morărescu, Jamal Daafouz y Pierre Riedinger. "Design and Analysis of Reset Strategy for Consensus in Networks with Cluster Pattern". En Delays and Networked Control Systems, 217–31. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32372-5_13.
Texto completoDeshpande, Paresh, Prathyush P. Menon y Christopher Edwards. "Synthesis of Distributed Control Laws for Multi-agent Systems Using Delayed Relative Information with LQR Performance". En Delays and Networked Control Systems, 233–52. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32372-5_14.
Texto completoMorărescu, Irinel-Constantin y Mirko Fiacchini. "Topology Preservation for Multi-agent Networks: Design and Implementation". En Delays and Networked Control Systems, 253–69. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32372-5_15.
Texto completoDi Loreto, Michael, Sérine Damak y Sabine Mondié. "Stability and Stabilization for Continuous-Time Difference Equations with Distributed Delay". En Delays and Networked Control Systems, 17–36. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32372-5_2.
Texto completoPontes Duff, Igor, Pierre Vuillemin, Charles Poussot-Vassal, Corentin Briat y Cédric Seren. "Model Reduction for Norm Approximation: An Application to Large-Scale Time-Delay Systems". En Delays and Networked Control Systems, 37–55. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32372-5_3.
Texto completoActas de conferencias sobre el tema "Networked Control with delays"
Ji, Kun y Won-Jong Kim. "Robust Control for Networked Control Systems With Admissible Parameter Uncertainties". En ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-81551.
Texto completoMirfakhraie, Tina, Yuping He y Ramiro Liscano. "Wireless Networked Control for Active Trailer Steering Systems of Articulated Vehicles". En ASME 2014 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/imece2014-36440.
Texto completoYu, Bo y Yang Shi. "State Feedback Stabilization of Networked Control Systems With Random Time Delays and Packet Dropout". En ASME 2008 Dynamic Systems and Control Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/dscc2008-2191.
Texto completoLian, Feng-Li, James Moyne y Dawn Tilbury. "Time Delay Modeling and Sample Time Selection for Networked Control Systems". En ASME 2001 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/imece2001/dsc-24539.
Texto completoLu, Bei. "Probabilistic Design of Networked Control Systems With Uncertain Time Delay". En ASME 2007 International Mechanical Engineering Congress and Exposition. ASMEDC, 2007. http://dx.doi.org/10.1115/imece2007-42829.
Texto completoZhang, Jie, Yuming Bo, Ming Lv y Dejin Tao. "Fault detection for networked control systems with control delays". En 2010 International Conference on Intelligent Control and Information Processing (ICICIP). IEEE, 2010. http://dx.doi.org/10.1109/icicip.2010.5565217.
Texto completoLian, F. L., J. R. Moyne y D. M. Tilbury. "Performance Evaluation of Control Networks for Manufacturing Systems". En ASME 1999 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/imece1999-0116.
Texto completoBelapurkar, Rohit K. y Rama K. Yedavalli. "LQR Control Design of Discrete-Time Networked Cascade Control Systems With Time Delay". En ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control. ASMEDC, 2011. http://dx.doi.org/10.1115/dscc2011-6129.
Texto completoLu, Lei, Jinxing Lin y Kanglei Ren. "H∞ output tracking control for networked control systems with network-induced delays". En 2018 Chinese Control And Decision Conference (CCDC). IEEE, 2018. http://dx.doi.org/10.1109/ccdc.2018.8407349.
Texto completoShi, Meifang. "Supervised networked control systems with multiple time delays". En 2011 23rd Chinese Control and Decision Conference (CCDC). IEEE, 2011. http://dx.doi.org/10.1109/ccdc.2011.5968602.
Texto completoInformes sobre el tema "Networked Control with delays"
Lemmon, Michael. Supervisory Control of Networked Control Systems. Fort Belvoir, VA: Defense Technical Information Center, enero de 2006. http://dx.doi.org/10.21236/ada442404.
Texto completoBarber, D. VCS: A networked version control system. Office of Scientific and Technical Information (OSTI), febrero de 1990. http://dx.doi.org/10.2172/6930725.
Texto completoBaliga, Girish, Scott R. Graham, Lui Sha y P. R. Kumar. Service Continuity in Networked Control Using Etherware. Fort Belvoir, VA: Defense Technical Information Center, enero de 2004. http://dx.doi.org/10.21236/ada424768.
Texto completoBitmead, Robert R. Control and Information Architecture for Coordinated Networked Systems. Fort Belvoir, VA: Defense Technical Information Center, agosto de 2009. http://dx.doi.org/10.21236/ada512939.
Texto completoWood, Scott D. Cooperative Interface Agents for Networked Command, Control, and Communications (CIANC3). Fort Belvoir, VA: Defense Technical Information Center, abril de 2003. http://dx.doi.org/10.21236/ada414232.
Texto completoGraham, Scott R. Fault Tolerance in Networked Control Systems Through Real-Time Restarts. Fort Belvoir, VA: Defense Technical Information Center, julio de 2004. http://dx.doi.org/10.21236/ada425652.
Texto completoDullerud, Geir E., Francesco Bullo, Eric Feron, Emilio Frazzoli, P. R. Kumar, Sanjay Lall, Daniel Liberzon, Nancy A. Lynch, John C. Mitchell y Sanjoy K. Mitter. Cooperative Networked Control of Dynamical Peer-to-Peer Vehicle Systems. Fort Belvoir, VA: Defense Technical Information Center, diciembre de 2007. http://dx.doi.org/10.21236/ada475557.
Texto completoGraham, Scott R., Sumant Kowshik, Girish Baliga, Lui Sha y Marco Caccamo. Co-Design of Real-Time Communication and Control in a Wireless Networked Control System. Fort Belvoir, VA: Defense Technical Information Center, julio de 2004. http://dx.doi.org/10.21236/ada425008.
Texto completoLewis, Frank L., Greg Hudas, Chee K. Pang, Matthew B. Middleton y Christopher Mcmurrough. Discrete Event Command & Control for Networked Teams with Multiple Missions. Fort Belvoir, VA: Defense Technical Information Center, marzo de 2009. http://dx.doi.org/10.21236/ada496792.
Texto completoOlmo, Frank J. Command and Control in Joint Vision 2010: Flexible, Adaptive and Networked. Fort Belvoir, VA: Defense Technical Information Center, febrero de 1999. http://dx.doi.org/10.21236/ada363260.
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