Relevant bibliographies by topics / Event-Triggered communication

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
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Academic literature on the topic 'Event-Triggered communication'

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Published: 25 May 2024

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Journal articles on the topic "Event-Triggered communication"

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Richert, Dean, and Jorge Cortés. "Distributed Linear Programming with Event-Triggered Communication." SIAM Journal on Control and Optimization 54, no. 3 (January 2016): 1769–97. http://dx.doi.org/10.1137/140967106.

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Perez-Salesa, Irene, Rodrigo Aldana-Lopez, and Carlos Sagues. "Precise Dynamic Consensus under Event-Triggered Communication." Machines 11, no. 2 (January 17, 2023): 128. http://dx.doi.org/10.3390/machines11020128.

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This work addresses the problem of dynamic consensus, which consists of estimating the dynamic average of a set of time-varying signals distributed across a communication network of multiple agents. This problem has many applications in robotics, with formation control and target tracking being some of the most prominent ones. In this work, we propose a consensus algorithm to estimate the dynamic average in a distributed fashion, where discrete sampling and event-triggered communication are adopted to reduce the communication burden. Compared to other linear methods in the state of the art, our proposal can obtain exact convergence under continuous communication even when the dynamic average signal is persistently varying. Contrary to other sliding-mode approaches, our method reduces chattering in the discrete-time setting. The proposal is based on the discretization of established exact dynamic consensus results that use high-order sliding modes. The convergence of the protocol is verified through formal analysis, based on homogeneity properties, as well as through several numerical experiments. Concretely, we numerically show that an advantageous trade-off exists between the maximum steady-state consensus error and the communication rate. As a result, our proposal can outperform other state-of-the-art approaches, even when event-triggered communication is used in our protocol.
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George, Jemin, and Prudhvi Gurram. "Distributed Stochastic Gradient Descent with Event-Triggered Communication." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (April 3, 2020): 7169–78. http://dx.doi.org/10.1609/aaai.v34i05.6206.

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We develop a Distributed Event-Triggered Stochastic GRAdient Descent (DETSGRAD) algorithm for solving non-convex optimization problems typically encountered in distributed deep learning. We propose a novel communication triggering mechanism that would allow the networked agents to update their model parameters aperiodically and provide sufficient conditions on the algorithm step-sizes that guarantee the asymptotic mean-square convergence. The algorithm is applied to a distributed supervised-learning problem, in which a set of networked agents collaboratively train their individual neural networks to perform image classification, while aperiodically sharing the model parameters with their one-hop neighbors. Results indicate that all agents report similar performance that is also comparable to the performance of a centrally trained neural network, while the event-triggered communication provides significant reduction in inter-agent communication. Results also show that the proposed algorithm allows the individual agents to classify the images even though the training data corresponding to all the classes are not locally available to each agent.
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He, Xingkang, Yu Xing, Junfeng Wu, and Karl H. Johansson. "Event-Triggered Distributed Estimation with Decaying Communication Rate." SIAM Journal on Control and Optimization 60, no. 2 (April 2022): 992–1017. http://dx.doi.org/10.1137/21m1405083.

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Ghosh, Soumyadip, Bernardo Aquino, and Vijay Gupta. "EventGraD: Event-triggered communication in parallel machine learning." Neurocomputing 483 (April 2022): 474–87. http://dx.doi.org/10.1016/j.neucom.2021.08.143.

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Liu, Shuai, Lihua Xie, and Daniel E. Quevedo. "Event-Triggered Quantized Communication-Based Distributed Convex Optimization." IEEE Transactions on Control of Network Systems 5, no. 1 (March 2018): 167–78. http://dx.doi.org/10.1109/tcns.2016.2585305.

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Chen, Zhenping, Dequan Li, Yourui Huang, and Chaoli Tang. "Event-triggered communication for time synchronization in WSNs." Neurocomputing 177 (February 2016): 416–26. http://dx.doi.org/10.1016/j.neucom.2015.11.045.

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Garcia, Eloy, Yongcan Cao, Han Yu, Panos Antsaklis, and David Casbeer. "Decentralised event-triggered cooperative control with limited communication." International Journal of Control 86, no. 9 (September 2013): 1479–88. http://dx.doi.org/10.1080/00207179.2013.787647.

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Li, Tao, Quan Qiu, and Chunjiang Zhao. "A Fully Distributed Protocol with an Event-Triggered Communication Strategy for Second-Order Multi-Agent Systems Consensus with Nonlinear Dynamics." Sensors 21, no. 12 (June 12, 2021): 4059. http://dx.doi.org/10.3390/s21124059.

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This paper presents the communication strategy for second-order multi-agent systems with nonlinear dynamics. To address the problem of the scarcity of communication channel resources and get rid of using continuous signals among the followers in lead-follower multi-agent systems, a novel event-triggered communication mechanism is proposed in this paper. To avoid employing the centralized information that depends on the Laplacian matrix spectrum, a network protocol with updated coupling gains is proposed, as well as an event-triggered strategy with updated thresholds. To eliminate the ill effects of inter-node communicating noise, relative positions are employed by the protocol instead of absolute positions. By a Lyapunov–Krasovskii functional, it is rigorously proven that the leader-following consensus of MASs is achieved without Zeno behavior, under the control of the proposed protocol with an event-triggered mechanism communication. The effectiveness of the proposed protocol is verified through numerical examples.
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Zhang, Chengxi, Jin Wu, Ming-Zhe Dai, Bo Li, and Mingjiang Wang. "Event- and self-triggered control of attitude coordination to multi-spacecraft system." Aircraft Engineering and Aerospace Technology 92, no. 7 (June 6, 2020): 1085–92. http://dx.doi.org/10.1108/aeat-02-2020-0037.

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Purpose The purpose of this paper is to investigate the attitude cooperation control of multi-spacecraft with in-continuous communication. Design/methodology/approach A decentralized state-irrelevant event-triggered control policy is proposed to reduce control updating frequency and further achieve in-continuous communication by introducing a self-triggered mechanism. Findings Each spacecraft transmits data independently, without the requirement for the whole system to communicate simultaneously. The local predictions and self-triggered mechanism avoid continuous monitoring of the triggering condition. Research limitations/implications This investigation is suitable for small Euler angle conditions. Practical implications The control policy based on event-triggered communication can provide potential solutions for saving communication resources. Originality/value This investigation uses event- and self-triggered policy to achieve in-communication for the multi-spacecraft system.
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Dissertations / Theses on the topic "Event-Triggered communication"

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Rabi, Maben, Karl Henrik Johansson, and 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.

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Novel event-triggered sensing and actuation strategies are presented for networked control systems with limited communication resources. Two architectures are considered: one with the controller co-located with the sensor and one with the control co-located with the actuator. A stochastic control problem with an optimal stopping rule is shown to capture two interesting instances of these architectures. The solution of the problem leads to a parametrization of the control alphabet as piecewise constant commands. The execution of the control commands is triggered by stopping rules for the sensor. In simple situations, it is possible to analytically derive the optimal controller. Examples illustrate how the new event-based control and sensing strategies outperform conventional time-triggered schemes.

© 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

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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.

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Dans ce manuscrit, nous nous sommes intéressés à la synthèse de lois de commande et de communications distribuées afin qu'un système multi-agents réalise une mission coopérative de consensus. Dans le cas de la commande distribuée, chaque agent doit évaluer sa commande en fonction de ses connaissances et des informations pouvant être envoyées par ses voisins. Les communications sont énergivores, elles doivent être donc limitées. Les communications à déclenchement événementiel consistent à ne transmettre une information que lorsqu'elle est jugée intéressante et permettent de réduire significativement la quantité de communications tout en préservant les performances du système. Afin de quantifier si l'information pouvant être envoyée est intéressante ou non, une métrique, appelée condition de déclenchement de communication, doit être définie. Cette condition est d'autant plus complexe à obtenir que les dynamiques du système multi-agents le sont. Dans un premier temps, nous avons cherché à obtenir cette condition pour les systèmes multi-agents décrits par des dynamiques non-linéaires affines en la commande, par analyse de stabilité. Remarquant que ces conditions obtenues pouvaient présenter des communications non nécessaires pour l'accomplissement de la mission, nous avons cherché à les optimiser. Dans un premier temps, nous avons considéré le problème de l'observateur à déclenchement événementiel puis nous nous sommes intéressé au cas général des systèmes multi-agents. Une approche par apprentissage profond est proposée pour l'obtention de lois de déclenchement pour ces deux problèmes
In 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
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Molin, Adam [Verfasser], Sandra [Akademischer Betreuer] Hirche, and 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.

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Viel, 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.

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Les systèmes multi-agents (MAS) et la commande coopérative ont fait l'objet de nombreuses recherches ces dernières années. Les domaines d'application sont très diverses et dans le cas des systèmes multi-véhicules, des approches ont été développées pour des unmanned air vehicles (UAVs), satellites, avions... Les types de missions envisagées sont des missions complexes telles l’exploration ou la surveillance de zones, la recherche et le suivi de cibles d'intérêt. Cependant, la coopération requière des échanges de communication entre les agents. Lorsque ceux-ci sont nombreux, cet échange peut conduire à des saturations du réseau, à l'augmentation des délais de transmission ou l’occurrence de pertes de paquets, d'où l'intérêt de réduire le nombre de communication. Dans les méthodes event-triggered, une communication est envoyée quand une condition, basée sur des paramètres choisis et un seuil prédéfini, est remplie. La principale difficulté est de définir une condition qui permettra de limiter les échanges sans dégrader l'exécution de la mission choisie. Dans le cas d'un système distribué, chaque agent doit maintenir une estimation de la valeur de l'état des autres agents afin de remplacer l'absence d'informations due à la communication réduite. L'objectif de cette thèse est de développer des lois de commandes et des estimateurs distribuées pour un système multi-agent afin de réduire le nombre de communication par méthode event-triggered, tout en prenant en compte la présence de perturbations. L'étude est divisée en deux grandes parties. La première décrit une méthode de communication event-triggered permettant de converger vers un consensus pour un système multi-agents de modèle d'évolution dynamique linéaire généralisée et en présence de perturbations d'état. Pour réduire les communications, un estimateur précis de l'état des agents est proposé, couplé à un estimateur de l'estimation de l'erreur, ainsi qu'un protocole de communication adapté. En prenant en compte la commande appliquée à chaque agent, l'estimateur proposé permet d'obtenir un consensus avec un nombre bien inférieur de communication que de la méthode de référence dans l'état de l'art. La seconde partie propose une stratégie de réduction de communication pour une commande de vol en formation permettant de suivre une trajectoire de référence. La dynamique des agents est décrite par un système Euler-Lagrange incluant des perturbations et des méconnaissances sur les paramètres du modèle. Différentes structures d'estimateurs sont proposées pour reconstruire les informations manquantes. La condition d'event-triggered distribuée proposée est basée sur l'écart relatif entre les positions et vitesses réelles et désirées des agents, ainsi que l'erreur relative entre la valeur estimée de l'état de l'agent et la valeur réelle. Une trajectoire de référence unique est déterminée pour guider la flotte. L'effet des perturbations sur la formation et la communication a été analysé. Enfin, les méthodes proposées ont été adaptées pour tenir compte des dégradations de performances dues aux pertes de données et aux délais de communication. Pour les deux types d'approches présentées les conditions de la stabilité du MAS ont été obtenues par l'intermédiaire de fonctions de Lyapunov et l'absence de paradoxe de Zeno a été étudiée
A 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
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Andersson, Martin, and 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.

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Embedded systems (ESs) and wireless technologies are in constant rapid development and therefore it is important to educate people in these subjects. This thesis work has the goal of developing a lab assignment for a university level course on data communication in embedded systems. Embedded systems have reliability and timeliness requirements that have to be fulfilled. These criteria pose problems to be addressed while ESs are used in conjunction with communication over wireless medium, which has some underlying limitations. These limitations come in the form of interference, degradation of signal strength with the distance and possible unwanted delays. This thesis work starts with a literature study on medium access control (MAC) methods and their possibilities for adoption of time-triggered and event-driven strategies for ESs with time constraints and continues with the lab assignment design, implementation and testing. Taking into account timing requirements brought by ESs and the specifics of the lab, i.e., limited time given to the students to solve the problem and compulsory usage of available lab equipment, a design with two communicating raspberry Pis was proposed. The system consists of a sensor node sending its readings to a controller, which is responsible for analyzing the data and actuating a set of LED lights as a response to the input data. The communication is done over a WiFi network and three different programs, organizing the communication in time-triggered, eventdriven or a combination of the two fashions are developed. Each program is tested under three environmental conditions and the results from these tests clearly show the limitation of the underlying CSMA/CA MAC adopted in WiFi and give a greater understanding of the advantages and disadvantages of different strategies for communication design.
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Araújo, 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.

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Networked control over wireless networks is of growing importance in many application domains such as industrial control, building automation and transportation systems. Wide deployment however, requires systematic design tools to enable efficient resource usage while guaranteeing close-loop control performance. The control system may be greatly affected by the inherent imperfections and limitations of the wireless medium and malfunction of system components. In this thesis, we make five important contributions that address these issues.  In the first contribution, we consider event- and self-triggered control and investigate how to efficiently tune and execute these paradigms for appropriate control performance. Communication strategies for aperiodic control are devised, where we jointly address the selection of medium-access control and scheduling policies. Experimental results show that the best trade-off is obtained by a hybrid scheme, combining event- and self-triggered control together with contention-based and contention-free medium access control. The second contribution proposes an event-based method to select between fast and slow periodic sampling rates. The approach is based on linear quadratic control and the event condition is a quadratic function of the system state. Numerical and experimental results show that this hybrid controller is able to reduce the average sampling rate in comparison to a traditional periodic controller, while achieving the same closed-loop control performance. In the third contribution, we develop compensation methods for out-of-order communications and time-varying delays using a game-theoretic minimax control framework. We devise a linear temporal coding strategy where the sensor combines the current and previous measurements into a single packet to be transmitted. An experimental evaluation is performed in a multi-hop networked control scenario with a routing layer vulnerability exploited by a malicious application. The experimental and numerical results show the advantages of the proposed compensation schemes. The fourth contribution proposes a distributed reconfiguration method for sensor and actuator networks. We consider systems where sensors and actuators cooperate to recover from faults. Reconfiguration is performed to achieve model-matching, while minimizing the steady-state estimation error covariance and a linear quadratic control cost. The reconfiguration scheme is implemented in a room heating testbed, and experimental results demonstrate the method's ability to automatically reconfigure the faulty system in a distributed and fast manner. The final contribution is a co-simulator, which combines the control system simulator Simulink with the wireless network simulator COOJA. The co-simulator integrates physical plant dynamics with realistic wireless network models and the actual embedded software running on the networked devices. Hence, it allows for the validation of the complete wireless networked control system, including the study of the interactions between software and hardware components.

QC 20140929

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(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.

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Networked control systems (NCSs) have been receiving increasing research attention in the last decade due to their attractive advantages such as flexible installation, low cost and easy maintenance, which lead to the wide applications in industry, agriculture, aerospace, remote surgery, and so on. A fundamental property of NCSs is the introduced network channels, which are bandwidth limited. This thesis is mainly concerned with how to effectively save the limited network resources, network bandwidth and/or battery power, while some desired control performance can be maintained. For this purpose, event-triggered transmission schemes are considered for NCSs to reduce some unnecessary network transmissions. The idea of the event-triggered transmission scheme is that the current sampled data is released for transmission whenever the error between the current and the latest transmitted sampled data exceeds a pre-designed threshold. An input delay method together with sampled-data error bounds induced from event-triggered transmission schemes is employed to model the inter-event dynamics. In this thesis, the event-triggered transmission schemes are studied in linear NCSs with signal quantization, networkinduced delays, packet dropouts, respectively, followed by its application in a class of nonlinear systems represented by Takagi-Sugeno (T-S) fuzzy models.
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(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.

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With the development of computing and communication technology, networked systems in which information is exchanged through communication networks have become prevalent in a variety of practical applications. A considerable number of these systems have scarcely adequate computation and communication network resources. Notice that, network dynamics usually affect the quality of the performance of networked systems; network-based control or filtering design generally interferes with the quality of service of communication networks. Therefore, successful implementation of networked systems over communication networks requires the adequate integration of control or filtering with intelligent computation and communication networks. This research establishes an information scheduling middleware to effi- ciently utilise the limited communication resources and the computation capacity while preserving the desired performance of networked systems. In this proposed middleware, an event-triggered scheme is given to provide a tradeoff between the performance of networked systems and the utilisation of communication network resources. A scheduling mechanism is derived to avoid traffic congestion in the communication network by introducing a fluid-flow model. By using this information scheduling middleware, the issues of network-based control and filtering are investigated. First, a fluid-flow model of the communication network and an eventtriggered scheme are integrated to develop a new framework, in which the criteria of stability and stabilisation are derived for networked systems under simultaneous consideration of control system performance and network dynamics. Second, based on network dynamics, an online scheduling strategy is proposed to design the H∞ filter for networked systems in the framework with the information scheduling middleware, the Information Dispatching Middleware (IDM). Third, the IDM is applied to distributed control for large-scale networked systems and a codesign method is obtained to determine the parameters of the IDM. Fourth, the mechanism of the IDM is analysed to investigate the cooperation between the Information Selection Module and the Congestion Avoidance Module in the IDM. Based on the IDM, distributed filters are designed considering the dynamics of communication networks. Finally, numerical and practical examples are given to demonstrate the effectiveness and advantages of the proposed information scheduling middleware.
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(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.

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"This dissertation takes a filtering oriented point of view and systematically addresses modeling, filtering performance analysis, and filter design issues over sensor networks with network induced constraints. The overall aim of this dissertation is to expand knowledge about theory and applications of sensor networks. More specifically, rigorous and systematic theoretical frameworks of distributed H1 filtering for estimating an unavailable state signal through noisy measurement and a disturbed plant over sensor networks are established. Furthermore, new filtering concepts, filtering theory, filter design methods, and filtering algorithms are proposed to deal with various network-induced constraints."
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Books on the topic "Event-Triggered communication"

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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.

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Lunze, 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.

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Lunze, 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.

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Lunze, 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.

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Book chapters on the topic "Event-Triggered communication"

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Li, Zhongkui, Bin Cheng, Weihao Song, and 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.

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Li, Zhongkui, Bin Cheng, Weihao Song, and 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.

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Sun, Yao, Xiaochao Hou, Jinghang Lu, Zhangjie Liu, Mei Su, and 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.

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Xu, Wenying, Daniel W. C. Ho, and 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.

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Liu, Qinyuan, Zidong Wang, and 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.

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Zou, Yuanyuan, and 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.

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Chang, Xiao-Heng, Jun Xiong, Zhi-Min Li, and 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.

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Peng, Chen, Dong Yue, and 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.

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Yue, Dong, Huaipin Zhang, and 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.

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Yue, Dong, Huaipin Zhang, and 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.

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Conference papers on the topic "Event-Triggered communication"

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Ghosh, Soumyadip, Kamal K. Saha, Vijay Gupta, and 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.

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Ghosh, Soumyadip, Kamal K. Saha, Vijay Gupta, and 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.

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Leijon, Viktor. "FIFO networking: Punctual event-triggered communication." In Factory Automation (ETFA 2009). IEEE, 2009. http://dx.doi.org/10.1109/etfa.2009.5347203.

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Li, Lichun, Bin Hu, and 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.

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Magnusson, Sindri, Carlo Fischione, and 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.

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Kia, Solmaz S., Jorge Cortes, and 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.

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Fu, Anqi, and 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.

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Wang, Lun, Yuan Fan, Yong Yang, and 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.

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Ghosh, Soumyadip, and 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.

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Gao, Huimin, Lin Wang, Junlong Zhu, Mingchuan Zhang, and 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.

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Reports on the topic "Event-Triggered communication"

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Garcia, Eloy, Yongcan Cao, and David W. Casbeer. Model-Based Event-Triggered Multi-Vehicle Coordinated Tracking with Communication Delays. Fort Belvoir, VA: Defense Technical Information Center, February 2013. http://dx.doi.org/10.21236/ada582413.

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Murphy, Keire, and Anne Sheridan. Annual report on migration and asylum 2022: Ireland. ESRI, November 2023. http://dx.doi.org/10.26504/sustat124.

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Annual Report on Migration and Asylum gives overview of statistics and developments in migration in 2022. The European Migration Network (EMN) Ireland within the ESRI has published its annual review of migration and asylum in Ireland. The EMN is an EU network that provides objective, comparable policy-relevant information on migration and international protection. EMN Ireland is located in the ESRI and is funded by the European Union and the Department of Justice. With an overview of the latest data as well as policy and operational developments, research, and case law from 2022, this report is a comprehensive reference that gives an opportunity to view the entire migration landscape in Ireland. The report shows that many forms of migration are recovering quickly from COVID-19 travel restrictions. It also shows that migration is being impacted by shortages in the labour market and the Russian invasion of Ukraine. As a result of these developments and others, Ireland saw a significant increase in immigration, with 141,600 people arriving in the year leading up to April 2023, according to CSO figures. This represents a 31% increase from the year to April 2022. However, emigration also increased, with 64,000 individuals leaving Ireland during the same period, marking a 14% increase from the previous year. 2022 saw a significant increase in first residence permits (which are granted to migrants from outside the EEA) from 2021. 85,793 permits were issued in 2022, with education the most common reason for permits (48%). Partially reflecting changes to eligible occupations for employment permits, the number of employment permits issued was the highest in the last 10 years. 39,995 employment permits were issued, with the information and communication sector the largest recipient of permits. Key developments in this area highlighted by the report include discussions on and progress with the Employment Permits Bill, changes to the Atypical Working Scheme, plans for a single application procedure for employment permits and immigration permissions, and changes to employment permits occupation lists to respond to labour market shortages. The report analyses international protection, showing significant increases in international protection applications as well as details of applications, decisions made, and statuses awarded. It shows an expansion of decision-making in response to increased applications. Looking at the broader EU situation, the report shows that applications for international protection in Ireland accounted for 1.3% of the EU total in 2022. The report also details the pressure on the reception and accommodation system for international protection applicants and beneficiaries of temporary protection, as well as the extraordinary measures taken to scale these up. It highlights measures taken to implement the White Paper to End Direct Provision and informs on a review of timelines of the plan. It discusses changes made by the International Protection Office to speed up processing, and criticism of these measures by NGOs, as well as details of the regularisation scheme for undocumented migrants and the humanitarian admission of Afghans. The Temporary Protection Directive – an EU Directive that creates an exceptional measure to provide immediate and temporary protection in the event of a mass influx of displaced persons – was triggered for the first time in March 2022, following the Russian invasion of Ukraine. As a result, the report includes a dedicated chapter with statistics relating to arrivals and a detailed overview of Ireland’s response to displaced persons from Ukraine. It also gives a comprehensive overview of other areas of migration, as well as research and case law from 2022, providing a crucial reference text for anyone working in the area.
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Event-Triggered Adaptive Robust Control for Lateral Stability of Steer-by-Wire Vehicles with Abrupt Nonlinear Faults. SAE International, July 2022. http://dx.doi.org/10.4271/2022-01-5056.

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Because autonomous vehicles (AVs) equipped with active front steering have the features of time varying, uncertainties, high rate of fault, and high burden on the in-vehicle networks, this article studies the adaptive robust control problem for improving lateral stability in steer-by-wire (SBW) vehicles in the presence of abrupt nonlinear faults. First, an upper-level robust H∞ controller is designed to obtain the desired front-wheel steering angle for driving both the yaw rate and the sideslip angle to reach their correct values. Takagi-Sugeno (T-S) fuzzy modeling method, which has shown the extraordinary ability in coping with the issue of nonlinear, is applied to deal with the challenge of the changing longitudinal velocity. The output of the upper controller can be calculated by a parallel distributed compensation (PDC) scheme. Then an event-triggered adaptive fault-tolerant lower controller (ET-AFTC) is proposed to drive the whole SBW system driving the desired steering angle offered by the upper controller with fewer communication resources and strong robustness. By employing a backstepping technique, the tracking performance is improved. The dynamic surface control (DSC) approach is used to avoid the problem of repeated differentiations, and Nussbaum function is adopted to overcome the difficulty of unknown nonlinear control gain. Both the stability of the upper and lower controllers can be guaranteed by Lyapunov functions. Finally, the simulations of Matlab/Simulink are given to show that the proposed control strategy is effectively able to deal with the abrupt nonlinear fault via less communication resources and perform better in ensuring the yaw stability of the vehicle.
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