Literatura científica selecionada sobre o tema "Event-Triggered communication"
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Artigos de revistas sobre o assunto "Event-Triggered communication"
Richert, Dean, e Jorge Cortés. "Distributed Linear Programming with Event-Triggered Communication". SIAM Journal on Control and Optimization 54, n.º 3 (janeiro de 2016): 1769–97. http://dx.doi.org/10.1137/140967106.
Texto completo da fontePerez-Salesa, Irene, Rodrigo Aldana-Lopez e Carlos Sagues. "Precise Dynamic Consensus under Event-Triggered Communication". Machines 11, n.º 2 (17 de janeiro de 2023): 128. http://dx.doi.org/10.3390/machines11020128.
Texto completo da fonteGeorge, Jemin, e Prudhvi Gurram. "Distributed Stochastic Gradient Descent with Event-Triggered Communication". Proceedings of the AAAI Conference on Artificial Intelligence 34, n.º 05 (3 de abril de 2020): 7169–78. http://dx.doi.org/10.1609/aaai.v34i05.6206.
Texto completo da fonteHe, Xingkang, Yu Xing, Junfeng Wu e Karl H. Johansson. "Event-Triggered Distributed Estimation with Decaying Communication Rate". SIAM Journal on Control and Optimization 60, n.º 2 (abril de 2022): 992–1017. http://dx.doi.org/10.1137/21m1405083.
Texto completo da fonteGhosh, Soumyadip, Bernardo Aquino e Vijay Gupta. "EventGraD: Event-triggered communication in parallel machine learning". Neurocomputing 483 (abril de 2022): 474–87. http://dx.doi.org/10.1016/j.neucom.2021.08.143.
Texto completo da fonteLiu, Shuai, Lihua Xie e Daniel E. Quevedo. "Event-Triggered Quantized Communication-Based Distributed Convex Optimization". IEEE Transactions on Control of Network Systems 5, n.º 1 (março de 2018): 167–78. http://dx.doi.org/10.1109/tcns.2016.2585305.
Texto completo da fonteChen, Zhenping, Dequan Li, Yourui Huang e Chaoli Tang. "Event-triggered communication for time synchronization in WSNs". Neurocomputing 177 (fevereiro de 2016): 416–26. http://dx.doi.org/10.1016/j.neucom.2015.11.045.
Texto completo da fonteGarcia, Eloy, Yongcan Cao, Han Yu, Panos Antsaklis e David Casbeer. "Decentralised event-triggered cooperative control with limited communication". International Journal of Control 86, n.º 9 (setembro de 2013): 1479–88. http://dx.doi.org/10.1080/00207179.2013.787647.
Texto completo da fonteLi, Tao, Quan Qiu e Chunjiang Zhao. "A Fully Distributed Protocol with an Event-Triggered Communication Strategy for Second-Order Multi-Agent Systems Consensus with Nonlinear Dynamics". Sensors 21, n.º 12 (12 de junho de 2021): 4059. http://dx.doi.org/10.3390/s21124059.
Texto completo da fonteZhang, Chengxi, Jin Wu, Ming-Zhe Dai, Bo Li e Mingjiang Wang. "Event- and self-triggered control of attitude coordination to multi-spacecraft system". Aircraft Engineering and Aerospace Technology 92, n.º 7 (6 de junho de 2020): 1085–92. http://dx.doi.org/10.1108/aeat-02-2020-0037.
Texto completo da fonteTeses / dissertações sobre o assunto "Event-Triggered communication"
Rabi, Maben, Karl Henrik Johansson e Mikael Johansson. "Optimal stopping for event-triggered sensing and actuation". KTH, Reglerteknik, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-80709.
Texto completo da fonte© 2008 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Qc 20120220
Marchand, Mathieu. "Learning and event‐triggered methods for the coordinations of multi‐agent systems". Electronic Thesis or Diss., université Paris-Saclay, 2023. http://www.theses.fr/2023UPAST125.
Texto completo da fonteIn this thesis, we investigated the development of distributed control and communication laws to control a multi-agent system to achieve a cooperative mission of consensus. In distributed control, each agent calculates its input using only its own knowledge and information sent by its neighbours. Since communication consumes energy, it must be limited. Event-triggered communication, which consists of sending a message only when it is considered important, drastically reduces the number of transmissions while preserving the performance of the system. In order to evaluate whether an information is important or not, a metric called Communication Triggering Condition is defined. This condition is as complex to obtain as the dynamics of the system.First, we investigate to obtain this condition for multi-agent systems described by nonlinear input-affine dynamics achieving the consensus mission, using a stability analysis. Noticing that the conditions obtained can be very conservative, we look for a way to optimise them. First, the event-triggered observer has been considered, then the general framework of multi-agent systems has been investigated. A deep learning approach is proposed to obtain the communication policies for those two problems
Molin, Adam [Verfasser], Sandra [Akademischer Betreuer] Hirche e Karl Henrik [Akademischer Betreuer] Johansson. "Optimal Event-triggered Control with Communication Constraints / Adam Molin. Gutachter: Karl Henrik Johansson ; Sandra Hirche. Betreuer: Sandra Hirche". München : Universitätsbibliothek der TU München, 2014. http://d-nb.info/1053467575/34.
Texto completo da fonteViel, Christophe. "Control law and state estimators design for multi-agent system with reduction of communications by event-triggered approach". Thesis, Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLS274/document.
Texto completo da fonteA large amount of research work has been recently dedicated to the study of Multi-Agent System and cooperative control. Applications to mobile robots, like unmanned air vehicles (UAVs), satellites, or aircraft have been tackled to insure complex mission such as exploration or surveillance. However, cooperative tasking requires communication between agents, and for a large number of agents, the number of communication exchanges may lead to network saturation, increased delays or loss of transferred packets, from the interest in reducing them. In event-triggered strategy, a communication is broadcast when a condition, based on chosen parameters and some threshold, is fulfilled. The main difficulty consists in determining the communication triggering condition (CTC) that will ensure the completion of the task assigned to the MAS. In a distributed strategy, each agent maintains an estimate value of others agents state to replace missing information due to limited communication. This thesis focuses on the development of distributed control laws and estimators for multi-agent system to limit the number of communication by using event-triggered strategy in the presence of perturbation with two main topics, i.e. consensus and formation control. The first part addresses the problem of distributed event-triggered communications for consensus of a multi-agent system with both general linear dynamics and state perturbations. To decrease the amount of required communications, an accurate estimator of the agent states is introduced, coupled with an estimator of the estimation error, and adaptation of communication protocol. By taking into account the control input of the agents, the proposed estimator allows to obtain a consensus with fewer communications than those obtained by a reference method. The second part proposes a strategy to reduce the number of communications for displacement-based formation control while following a desired reference trajectory. Agent dynamics are described by Euler-Lagrange models with perturbations and uncertainties on the model parameters. Several estimator structures are proposed to rebuild missing information. The proposed distributed communication triggering condition accounts for inter-agent displacements and the relative discrepancy between actual and estimated agent states. A single a priori trajectory has to be evaluated to follow the desired path. Effect of state perturbations on the formation and on the communications is analyzed. Finally, the proposed methods have been adapted to consider packet dropouts and communication delays. For both types of problems, Lyapunov stability of the MAS has been developed and absence of Zeno behavior is studied
Andersson, Martin, e Emil Sjöström. "COMPARISON OF TIME- AND EVENT-TRIGGERED STRATEGIES FOR WIRELESS COMMUNICATION IN EMBEDDED SYSTEMS : Design of a lab assignment for university level course on data communication in embedded systems". Thesis, Mälardalens högskola, Inbyggda system, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-32066.
Texto completo da fonteAraújo, José. "Design, Implementation and Validation of Resource-Aware and Resilient Wireless Networked Control Systems". Doctoral thesis, KTH, Reglerteknik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-152535.
Texto completo da fonteQC 20140929
(9800522), Yanpeng Guan. "Analysis and design of event-triggered networked control systems". Thesis, 2013. https://figshare.com/articles/thesis/Analysis_and_design_of_event-triggered_networked_control_systems/13438043.
Texto completo da fonte(6469685), Y. Lin. "Event-triggered control and filtering for networked systems based on network dynamics". Thesis, 2014. https://figshare.com/articles/thesis/Event-triggered_control_and_filtering_for_networked_systems_based_on_network_dynamics/13387244.
Texto completo da fonte(9798392), Xiao Hua Ge. "Distributed H-infinity filtering over sensor networks". Thesis, 2014. https://figshare.com/articles/thesis/Distributed_H-infinity_filtering_over_sensor_networks/13437116.
Texto completo da fonteLivros sobre o assunto "Event-Triggered communication"
McDaniel, Stephen Ray. The communication effects of positioning brands with sporting events: An experimental study of schema-triggered affect in consumer response to event sponsorship advertising. Ann Arbor, MI: UMI Dissertation Services, 2000.
Encontre o texto completo da fonteLunze, Jan. Networked Control of Multi-Agent Systems: Consensus and Synchronisation, Communication Structure Design, Self-Organisation in Networked Systems, Event-triggered Control. de Gruyter GmbH, Walter, 2019.
Encontre o texto completo da fonteLunze, Jan. Networked Control of Multi-Agent Systems: Consensus and Synchronisation, Communication Structure Design, Self-Organisation in Networked Systems, Event-triggered Control. de Gruyter GmbH, Walter, 2019.
Encontre o texto completo da fonteLunze, Jan. Networked Control of Multi-Agent Systems: Consensus and Synchronisation, Communication Structure Design, Self-Organisation in Networked Systems, Event-triggered Control. de Gruyter GmbH, Walter, 2019.
Encontre o texto completo da fonteCapítulos de livros sobre o assunto "Event-Triggered communication"
Li, Zhongkui, Bin Cheng, Weihao Song e Shiqi Zhang. "Fully Distributed Consensus Control with Event-Triggered Communication". In Distributed Event-triggered Control, 17–39. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-8170-0_3.
Texto completo da fonteLi, Zhongkui, Bin Cheng, Weihao Song e Shiqi Zhang. "Fully Distributed Event-Triggered Consensus with Discrete Communication and Control". In Distributed Event-triggered Control, 41–68. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-8170-0_4.
Texto completo da fonteSun, Yao, Xiaochao Hou, Jinghang Lu, Zhangjie Liu, Mei Su e Joseph M. Guerrero. "Distributed Event-Triggered Control with Less Communication". In Series-Parallel Converter-Based Microgrids, 113–35. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-91511-7_7.
Texto completo da fonteXu, Wenying, Daniel W. C. Ho e Jinde Cao. "Distributed Edge Event-Triggered Consensus Protocol with Communication Buffer". In Event-Triggered Cooperative Control: Analysis and Synthesis, 77–90. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-5654-6_5.
Texto completo da fonteLiu, Qinyuan, Zidong Wang e Xiao He. "Event-Triggered Resilient Filtering with Measurement Quantization". In Stochastic Control and Filtering over Constrained Communication Networks, 57–75. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00157-5_4.
Texto completo da fonteZou, Yuanyuan, e Shaoyuan Li. "DMPC of Networked Systems with Event-Triggered Communication". In Distributed Cooperative Model Predictive Control of Networked Systems, 49–66. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-6084-0_3.
Texto completo da fonteChang, Xiao-Heng, Jun Xiong, Zhi-Min Li e Bo Wu. "Event-Triggered Fuzzy Control and Filtering with Communication Constraints". In Control and Filtering of Fuzzy Systems Under Communication Channels, 147–99. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-4346-3_5.
Texto completo da fontePeng, Chen, Dong Yue e Qing-Long Han. "Event-Triggered Control for Networked Takagi–Sugeno Fuzzy Systems". In Communication and Control for Networked Complex Systems, 145–59. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-46813-5_10.
Texto completo da fonteYue, Dong, Huaipin Zhang e Shengxuan Weng. "Distributed Event-Triggered Consensus Control of Homogeneous Multiagent Systems". In Distributed Cooperative Control and Communication for Multi-agent Systems, 17–41. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6718-0_2.
Texto completo da fonteYue, Dong, Huaipin Zhang e Shengxuan Weng. "Distributed Event-Triggered Tracking Control for Heterogeneous Multiagent Systems". In Distributed Cooperative Control and Communication for Multi-agent Systems, 43–64. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6718-0_3.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Event-Triggered communication"
Ghosh, Soumyadip, Kamal K. Saha, Vijay Gupta e Gretar Tryggvason. "Event-Triggered Communication in Parallel Computing". In 2018 IEEE/ACM 9th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems (scalA). IEEE, 2018. http://dx.doi.org/10.1109/scala.2018.00004.
Texto completo da fonteGhosh, Soumyadip, Kamal K. Saha, Vijay Gupta e Gretar Tryggvason. "Parallel Computation using Event-Triggered Communication". In 2019 American Control Conference (ACC). IEEE, 2019. http://dx.doi.org/10.23919/acc.2019.8814867.
Texto completo da fonteLeijon, Viktor. "FIFO networking: Punctual event-triggered communication". In Factory Automation (ETFA 2009). IEEE, 2009. http://dx.doi.org/10.1109/etfa.2009.5347203.
Texto completo da fonteLi, Lichun, Bin Hu e Michael Lemmon. "Resilient event triggered systems with limited communication". In 2012 IEEE 51st Annual Conference on Decision and Control (CDC). IEEE, 2012. http://dx.doi.org/10.1109/cdc.2012.6426151.
Texto completo da fonteMagnusson, Sindri, Carlo Fischione e Na Li. "Optimal Voltage Control Using Event Triggered Communication". In e-Energy '19: The Tenth ACM International Conference on Future Energy Systems. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3307772.3328303.
Texto completo da fonteKia, Solmaz S., Jorge Cortes e Sonia Martinez. "Dynamic average consensus with distributed event-triggered communication". In 2014 IEEE 53rd Annual Conference on Decision and Control (CDC). IEEE, 2014. http://dx.doi.org/10.1109/cdc.2014.7039494.
Texto completo da fonteFu, Anqi, e Manuel Mazo. "Advances on asynchronous event-triggered control". In 2015 International Conference on Event-based Control, Communication, and Signal Processing (EBCCSP). IEEE, 2015. http://dx.doi.org/10.1109/ebccsp.2015.7300658.
Texto completo da fonteWang, Lun, Yuan Fan, Yong Yang e Cheng Song. "Feedback control with quantized state using event-triggered communication". In 2017 IEEE 17th International Conference on Communication Technology (ICCT). IEEE, 2017. http://dx.doi.org/10.1109/icct.2017.8359826.
Texto completo da fonteGhosh, Soumyadip, e Vijay Gupta. "EventGraD: Event-Triggered Communication in Parallel Stochastic Gradient Descent". In 2020 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments (MLHPC) and Workshop on Artificial Intelligence and Machine Learning for Scientific Applications (AI4S). IEEE, 2020. http://dx.doi.org/10.1109/mlhpcai4s51975.2020.00008.
Texto completo da fonteGao, Huimin, Lin Wang, Junlong Zhu, Mingchuan Zhang e Qingtao Wu. "Federated Optimization Based on Compression and Event-triggered Communication". In 2021 36th Youth Academic Annual Conference of Chinese Association of Automation (YAC). IEEE, 2021. http://dx.doi.org/10.1109/yac53711.2021.9486477.
Texto completo da fonteRelatórios de organizações sobre o assunto "Event-Triggered communication"
Garcia, Eloy, Yongcan Cao e David W. Casbeer. Model-Based Event-Triggered Multi-Vehicle Coordinated Tracking with Communication Delays. Fort Belvoir, VA: Defense Technical Information Center, fevereiro de 2013. http://dx.doi.org/10.21236/ada582413.
Texto completo da fonteMurphy, Keire, e Anne Sheridan. Annual report on migration and asylum 2022: Ireland. ESRI, novembro de 2023. http://dx.doi.org/10.26504/sustat124.
Texto completo da fonteEvent-Triggered Adaptive Robust Control for Lateral Stability of Steer-by-Wire Vehicles with Abrupt Nonlinear Faults. SAE International, julho de 2022. http://dx.doi.org/10.4271/2022-01-5056.
Texto completo da fonte