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Zeitschriftenartikel zum Thema „Event-Triggered communication“

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Veröffentlicht am 25. Mai 2024

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1

Richert, Dean, und Jorge Cortés. „Distributed Linear Programming with Event-Triggered Communication“. SIAM Journal on Control and Optimization 54, Nr. 3 (Januar 2016): 1769–97. http://dx.doi.org/10.1137/140967106.

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2

Perez-Salesa, Irene, Rodrigo Aldana-Lopez und Carlos Sagues. „Precise Dynamic Consensus under Event-Triggered Communication“. Machines 11, Nr. 2 (17.01.2023): 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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3

George, Jemin, und Prudhvi Gurram. „Distributed Stochastic Gradient Descent with Event-Triggered Communication“. Proceedings of the AAAI Conference on Artificial Intelligence 34, Nr. 05 (03.04.2020): 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 und Karl H. Johansson. „Event-Triggered Distributed Estimation with Decaying Communication Rate“. SIAM Journal on Control and Optimization 60, Nr. 2 (April 2022): 992–1017. http://dx.doi.org/10.1137/21m1405083.

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5

Ghosh, Soumyadip, Bernardo Aquino und 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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6

Liu, Shuai, Lihua Xie und Daniel E. Quevedo. „Event-Triggered Quantized Communication-Based Distributed Convex Optimization“. IEEE Transactions on Control of Network Systems 5, Nr. 1 (März 2018): 167–78. http://dx.doi.org/10.1109/tcns.2016.2585305.

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7

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

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8

Garcia, Eloy, Yongcan Cao, Han Yu, Panos Antsaklis und David Casbeer. „Decentralised event-triggered cooperative control with limited communication“. International Journal of Control 86, Nr. 9 (September 2013): 1479–88. http://dx.doi.org/10.1080/00207179.2013.787647.

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9

Li, Tao, Quan Qiu und Chunjiang Zhao. „A Fully Distributed Protocol with an Event-Triggered Communication Strategy for Second-Order Multi-Agent Systems Consensus with Nonlinear Dynamics“. Sensors 21, Nr. 12 (12.06.2021): 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 und Mingjiang Wang. „Event- and self-triggered control of attitude coordination to multi-spacecraft system“. Aircraft Engineering and Aerospace Technology 92, Nr. 7 (06.06.2020): 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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11

Duan, Jiajun, Hao Xu und Wenxin Liu. „Event-triggered and self-triggered wide-area damping control designs under uncertainties“. Transactions of the Institute of Measurement and Control 40, Nr. 7 (20.04.2017): 2259–69. http://dx.doi.org/10.1177/0142331217700241.

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Traditional damping controllers of wide-area power systems (WAPSs) are not able to solve the inter-area oscillation problem effectively owing to lack of global vision. It weakens the power transfer capability and even the stability of WAPSs. The installation of a large number of phase measurement units brings about the system-wide synchronized measurements. Considering that conventional periodic control solutions have placed an excessive burden on the cyber infrastructure, in this paper, two advanced aperiodic control schemes are designed based on the real-time global synchronized measurements. Two control schemes, that is, zero-order-hold event-triggered control and self-triggered control, are developed for wide-area damping control with the minimum communication between the control center and the actuators. The control center only updates control signals for the actuators when certain conditions are triggered, and there is no communication occurrence for the rest of time. Thus, they have mild requirements on communication and computation. The algorithms are tested through simulations of WAPS models with different levels of details. The simulation results demonstrate the effectiveness and benefits of the control design.

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Li, Hongjie. „H-infinity bipartite consensus of multi-agent systems with external disturbance and probabilistic actuator faults in signed networks“. AIMS Mathematics 7, Nr. 2 (2022): 2019–43. http://dx.doi.org/10.3934/math.2022116.

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<abstract><p>The H-infinity bipartite consensus problem is addressed for a class of linear multi-agent systems with external disturbance, where the positive and negative links are allowed in communication topology. A novel event-triggered communication scheme is presented to save limited network resources, which dependents on information from neighboring agents at event-triggered instants, the given event-triggered condition is detected only at discrete sampling times, thus Zeno behavior can be excluded, two types of event-triggered matrices have been introduced in our event-triggered communication scheme, which can further reduce the sampled-data transmission compared with some existed results. Considering the probabilistic actuator faults, the reliable controller is designed based on sampled-data, then a new distribution-based fault model is constructed by using coordinate transform. Some H-infinity bipartite consensus criteria can be derived by the Lyapunov stability theory and algebraic graph theory, at the same time, the feedback matrices and event-triggered matrices can be obtained by solving some linear matrix inequalities. Finally, a numerical example is employed to show the validity and advantage of the proposed transmission scheme.</p></abstract>

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13

Li, Haifeng, Zhenping Chen, Baochuan Fu, Zhengtian Wu, Xinhui Ji und Manman Sun. „Event-Triggered Vehicle Platoon Control Under Random Communication Noises“. IEEE Access 9 (2021): 51722–33. http://dx.doi.org/10.1109/access.2021.3070332.

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14

Dohmann, Pablo Budde gen, und Sandra Hirche. „Distributed Control for Cooperative Manipulation With Event-Triggered Communication“. IEEE Transactions on Robotics 36, Nr. 4 (August 2020): 1038–52. http://dx.doi.org/10.1109/tro.2020.2973096.

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15

Kajiyama, Yuichi, Naoki Hayashi und Shigemasa Takai. „Distributed Subgradient Method With Edge-Based Event-Triggered Communication“. IEEE Transactions on Automatic Control 63, Nr. 7 (Juli 2018): 2248–55. http://dx.doi.org/10.1109/tac.2018.2800760.

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16

Forni, Fulvio, Sergio Galeani, Dragan Nešić und Luca Zaccarian. „Event-triggered transmission for linear control over communication channels“. Automatica 50, Nr. 2 (Februar 2014): 490–98. http://dx.doi.org/10.1016/j.automatica.2013.11.001.

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17

Wen, Guanghui, Michael Z. Q. Chen und Xinghuo Yu. „Event-Triggered Master–Slave Synchronization With Sampled-Data Communication“. IEEE Transactions on Circuits and Systems II: Express Briefs 63, Nr. 3 (März 2016): 304–8. http://dx.doi.org/10.1109/tcsii.2015.2482158.

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18

Paul, Anik Kumar, Arun D. Mahindrakar und Rachel K. Kalaimani. „Distributed Online Mirror Descent Algorithm with Event Triggered Communication“. IFAC-PapersOnLine 55, Nr. 30 (2022): 448–53. http://dx.doi.org/10.1016/j.ifacol.2022.11.094.

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19

Ayala-Olivares, Juan R., Rogerio Enríquez-Caldera, J. Fermi Guerrero-Castellanos und Sylvain Durand. „Attitude Synchronization of Rigid Bodies With Event-Triggered Communication“. IEEE Access 11 (2023): 88869–80. http://dx.doi.org/10.1109/access.2023.3305926.

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20

Cui, Shitong, Le Liu, Wei Xing und Xudong Zhao. „Periodic Event-Triggered Estimation for Networked Control Systems“. Electronics 10, Nr. 18 (10.09.2021): 2215. http://dx.doi.org/10.3390/electronics10182215.

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This paper considers the problem of remote state estimation in a linear discrete invariant system, where a smart sensor is utilized to measure the system state and generate a local estimate. The communication depends on an event scheduler in the smart sensor. When the channel between the remote estimator and the smart sensor is activated, the remote estimator simply adopts the estimate transmitted by the smart sensor. Otherwise, it calculates an estimate based on the available information. The closed-form of the minimum mean-square error (MMSE) estimator is introduced, and we use Gaussian preserving event-based sensor scheduling to obtain an ideal compromise between the communication cost and estimation quality. Furthermore, we calculate a variation range of communication probability, which helps to design the policy of event-triggered estimation. Finally, the simulation results are given to illustrate the effectiveness of the proposed event-triggered estimator.

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21

Wan, Xiaofeng, Ye Tian, Jingwan Wu, Xiaohua Ding und Huipeng Tu. „Distributed Event-Triggered Secondary Recovery Control for Islanded Microgrids“. Electronics 10, Nr. 15 (21.07.2021): 1749. http://dx.doi.org/10.3390/electronics10151749.

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Distributed cooperative control methods are widely used in the islanded microgrid control system. To solve the deviation of frequency and voltage caused by the droop control, it is necessary to recovery the frequency and voltage to the rated value using a secondary control strategy. However, the traditional communication method relies on the continuous periodic one, which makes the communication burden of the islanded microgrid system heavy and conflicts with the actual operation of the power grid. Using the secondary recovery control method based on the distributed event-triggered method, we conserve communication resources by reducing the number of transmissions of sampled data and achieving the recovery control of the frequency and voltage and the original proportional sharing of active power. In addition, we analyze the stability of the distributed event-triggered strategy and build a microgrid system with MATLAB/Simulink to verify the effectiveness of the control method. Furthermore, we compare with a traditional periodic communication system and demonstrate the superiority of our distributed event-triggered approach.

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22

Xu, Peng, Hongfa Zhao, Guangming Xie, Jin Tao und Minyi Xu. „Pull-Based Distributed Event-Triggered Circle Formation Control for Multi-Agent Systems with Directed Topologies“. Applied Sciences 9, Nr. 23 (20.11.2019): 4995. http://dx.doi.org/10.3390/app9234995.

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This paper investigates a circle formation control problem for multi-agent systems with directed topologies via pull-based distributed event-triggered control principles. Firstly, for scenarios of continuous communication, a pull-based distributed event-triggered principle is proposed. It is proved that if the communication topology is irreducible and has a directed spanning tree, the event-triggered coupling continuous communication can lead multiple agents to form a desired circle formation. Then, the results are extended to discontinuous communication scenarios, where all the agents use a model of their neighborhoods to generate self-triggered instants without monitoring continuously, update the local controller here, and if necessary, local broadcast information based on the adopted control inputs to neighboring agents. In addition, Zeno behavior can be excluded during the whole process. Finally, numerical simulation results are given to demonstrate the effectiveness of the proposed circle formation control methods.

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23

Li, Yajie, und Wei Li. „Discrete Event-Triggered Robust Fault-Tolerant Control for Nonlinear Networked Control Systems withα-Safety Degree and Actuator Saturation“. Mathematical Problems in Engineering 2015 (2015): 1–17. http://dx.doi.org/10.1155/2015/590598.

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This paper deals with the discrete event-triggered robust fault-tolerant control problem for uncertain nonlinear networked control systems (NNCSs) withα-safety degree. A discrete event-triggered communication scheme (DETCS) is initially proposed, and a closed-loop fault model is subsequently established for NNCSs with actuator saturation under the DETCS. Based on an appropriately constructed delay-dependent Lyapunov–Krasovskii function, sufficient conditions are derived to guarantee the asymptotic stability of NNCSs under two different event-triggered conditions and are established as the contractively invariant sets of fault tolerance withα-safety degree. Furthermore, codesign methods between the robust fault-tolerant controller and event-triggered weight matrix are also proposed in terms of linear matrix inequality. The simulation shows that the resultant closed-loop fault NNCSs possesses a high safety margin, and an improved dynamic performance, as well as a reduced communication load. A comparative analysis of the two event-triggered conditions is discussed in the experiment section.

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24

Xu, Shiyun, Huadong Sun, Bing Zhao, Jun Yi, Shengxuan Weng, Jianbo Chen und Chunxia Dou. „Distributed Optimal Frequency Regulation for Multiple Distributed Power Generations with an Event-Triggered Communication Mechanism“. Processes 8, Nr. 2 (03.02.2020): 169. http://dx.doi.org/10.3390/pr8020169.

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This paper studied the distributed optimal frequency regulation for multiple power generations in an isolated microgrid under limited communication resource. The event-triggered mechanism is introduced in the construction of the regulation algorithm. Each power generation in the microgrid only transmits its own information to its neighbors through a communication network when the event-triggered condition is satisfied, and the communication burden can be reduced significantly. Moreover, Zeno behavior is excluded to make the event-triggered regulation algorithm reasonable and realistic for practical microgrids. The proposed regulation method can restore the frequency and retain the economic efficiency simultaneously when some disturbances occur in isolated microgrids. The experimental result shows the effectiveness of the theoretical method.

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25

Zhou, Feng, Zhiwu Huang, Weirong Liu, Liran Li und Kai Gao. „Periodic Event-Triggered Condition Design for the Consensus of Multiagent Systems with Communication Delays“. Mathematical Problems in Engineering 2016 (2016): 1–9. http://dx.doi.org/10.1155/2016/3408152.

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This paper focuses on the periodic event-triggered consensus problem for multiagent systems under undirected graph. In the periodic event-triggered control, the event condition is tested only periodically to decide when to exert the control behaviors and when to broadcast the sampling data. Two sets of event-triggered strategies combining with sampled-data control are designed based on an exponential decay function and a quadratic Lyapunov function, respectively. Some useful theorems for these two periodic event-triggered strategies about the choice of period are derived to guarantee the asymptotical stability of the closed-loop multiagent systems. In addition, this paper gives a sufficient condition about the bounds of communication delay for the multiagent systems. It is rigorously proved that the overall system will achieve the consensus under the proposed strategy if the period and time delay satisfy the theorems. Finally, we extend these solutions to general linear dynamical systems. Simulation results are presented to show the effectiveness.

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26

Pan, Suying, Zhiyong Ye, Zhonghua Miao und Jin Zhou. „Event-triggered stochastic consensus for networked Lagrangian systems with semi-Markov switching topologies and communication delays“. Transactions of the Institute of Measurement and Control 43, Nr. 12 (20.04.2021): 2702–14. http://dx.doi.org/10.1177/01423312211004033.

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In this paper, the event-triggered stochastic consensus for networked Lagrangian systems with semi-Markov switching topologies and communication delays is considered. An event-triggered sampling control strategy is used to design the distributed stochastic consensus scheme of networked Lagrangian systems for two cases with leader and leaderless. Two delay-dependent consensus criteria are derived in the sense of mean square by use of a suitable Lyapunov-Krasovskii functional and the stochastic delayed Halanay inequality, respectively. A key feature of the developed event-triggered consensus algorithm is to introduce a suitable adjustment parameter on consensus control gains characterizing the effect of both semi-Markov switching topology and communication delay. Finally, a numerical example of four manipulators with two links is presented to illustrate the effectiveness of the developed event-triggered methodology.

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27

Yang, Shasha, Ziming Liu und Lianghao Ji. „Finite-Time Consensus of Second-Order Multi-Agent Systems via Event-Triggered Impulsive Control“. ACM SIGAPP Applied Computing Review 24, Nr. 1 (März 2024): 5–13. http://dx.doi.org/10.1145/3663652.3663653.

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In this study, the finite-time consensus problem of second-order multi-agent systems via event-triggered impulsive control is investigated. We leverage a novel approach that combines impulsive control, event-triggered communication, and finite-time stability theory. This successful combination achieves finite-time consensus while minimizing communication. In addition, the event-triggered condition determines both the impulsive instants and the update times for the finite-time control. Furthermore, it is shown that the Zeno-behavior and chattering phenomenon can be eliminated under our work. Numerical examples and simulations are provided to validate the effectiveness of the proposed control strategy.

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28

Wen, Jiayan, Haijiang Zhang, Guangxing Tan, Ning Cai und Guangming Xie. „Distributed Event-Triggered Circle Formation Control for Multiagent Systems with Nonuniform Quantization“. Complexity 2021 (07.08.2021): 1–13. http://dx.doi.org/10.1155/2021/6684849.

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This article focuses on circle formation control problem of multiagent systems based on event-triggered strategy under limited communication bandwidth. In such system, each agent can only perceive the angular distance of its nearest neighbor in the counterclockwise direction, and the angular distance of the nearest neighbor in the clockwise direction needs to be obtained by communicating with each other. In order to address the aforementioned problem, a novel distributed algorithm based on the combination of nonuniform quantitative communication technology and event-triggered control is proposed. Sufficient conditions on circle formation control are derived under which the states of all agents can be confirmed to converge to some desired equilibrium point. Different from the traditional uniform quantization communication framework, nonuniform quantization can be beneficial for handling small signals and improving the performance of multiagent systems concerned. Furthermore, under the proposed policy, all the designed quantizers do not emerge saturated. Numerical simulation results are provided to verify the effectiveness of the proposed algorithm.

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Yu, Pian, Carlo Fischione und Dimos V. Dimarogonas. „Distributed Event-Triggered Communication and Control of Linear Multiagent Systems Under Tactile Communication“. IEEE Transactions on Automatic Control 63, Nr. 11 (November 2018): 3979–85. http://dx.doi.org/10.1109/tac.2018.2805682.

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30

Hu, Songlin, Dong Yue, Min Shi und Xiangpeng Xie. „Discrete-Time Event-Triggered Control of Nonlinear Wireless Networked Control Systems“. Abstract and Applied Analysis 2014 (2014): 1–14. http://dx.doi.org/10.1155/2014/860438.

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This paper investigates the problem of stabilization of nonlinear discrete-time networked control systems (NCSs) with event-triggering communication scheme in the presence of signal transmission delay. A Takagi-Sugeno (T-S) fuzzy model and parallel-distributed compensation (PDC) scheme are first employed to design a nonlinear fuzzy event-triggered controller for the stabilization of nonlinear discrete-time NCSs. The idea of the event-triggering communication scheme (i.e., a soft computation algorithm) under consideration is that the current sensor data is transmitted only when the current sensor data and the previously transmitted one satisfy a certain state-dependent trigger condition. By taking the signal transmission delay into consideration and using delay system approach, a T-S fuzzy delay system model is established to describe the nonlinear discrete-time NCSs with event-triggering communication scheme. Attention is focused on the design of fuzzy event-triggered controller which ensures asymptotic stability of the closed-loop fuzzy systems. Linear matrix inequality- (LMI-) based conditions are formulated for the existence of admissible fuzzy event-triggered controller. If these conditions are feasible, a desired fuzzy event-triggered controller can be readily constructed. A nonlinear mass-spring-damper mechanical system is presented to demonstrate the effectiveness of the proposed method.

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Dohmann, Pablo Budde gen, und Sandra Hirche. „Event-Triggered Consensus for Euler-Lagrange Systems with Communication Delay“. IFAC-PapersOnLine 53, Nr. 2 (2020): 2777–82. http://dx.doi.org/10.1016/j.ifacol.2020.12.936.

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32

ISHIKAWA, Kazuyuki, Naoki HAYASHI und Shigemasa TAKAI. „Consensus-Based Distributed Particle Swarm Optimization with Event-Triggered Communication“. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E101.A, Nr. 2 (2018): 338–44. http://dx.doi.org/10.1587/transfun.e101.a.338.

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33

Shen, Kai, Chengxi Zhang, Peng Dong, Zhongliang Jing und Henry Leung. „Consensus-Based Labeled Multi-Bernoulli Filter With Event-Triggered Communication“. IEEE Transactions on Signal Processing 70 (2022): 1185–96. http://dx.doi.org/10.1109/tsp.2022.3154227.

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34

Kartakis, Sokratis, Anqi Fu, Manuel Mazo und Julie A. McCann. „Communication Schemes for Centralized and Decentralized Event-Triggered Control Systems“. IEEE Transactions on Control Systems Technology 26, Nr. 6 (November 2018): 2035–48. http://dx.doi.org/10.1109/tcst.2017.2753166.

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35

Li, Mengmou, Lanlan Su und Tao Liu. „Distributed Optimization With Event-Triggered Communication via Input Feedforward Passivity“. IEEE Control Systems Letters 5, Nr. 1 (Januar 2021): 283–88. http://dx.doi.org/10.1109/lcsys.2020.3001998.

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36

Scarlett, Jason J., und Robert W. Brennan. „AN EVENT-TRIGGERED COMMUNICATION PROTOCOL FOR INTELLIGENT REAL-TIME CONTROL“. IFAC Proceedings Volumes 38, Nr. 1 (2005): 164–69. http://dx.doi.org/10.3182/20050703-6-cz-1902.01452.

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37

Hu, Shin-Chen, und Yen-Chen Liu. „Event-triggered control for adaptive bilateral teleoperators with communication delays“. IET Control Theory & Applications 14, Nr. 3 (12.02.2020): 427–37. http://dx.doi.org/10.1049/iet-cta.2019.0298.

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38

Fu, Anqi, und Manuel Mazo. „Decentralized periodic event-triggered control with quantization and asynchronous communication“. Automatica 94 (August 2018): 294–99. http://dx.doi.org/10.1016/j.automatica.2018.04.045.

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39

Yan, Lei, Xiaomei Zhang, Zhenjuan Zhang und Yongjie Yang. „Distributed state estimation in sensor networks with event-triggered communication“. Nonlinear Dynamics 76, Nr. 1 (05.11.2013): 169–81. http://dx.doi.org/10.1007/s11071-013-1119-x.

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40

Xu, Daxing, Yan Qin, Heng Zhang, Li Yu und Hailun Wang. „Set-valued Kalman filtering: Event triggered communication with quantized measurements“. Peer-to-Peer Networking and Applications 12, Nr. 3 (10.05.2018): 677–88. http://dx.doi.org/10.1007/s12083-018-0657-x.

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Liu, Jiayun, und Weisheng Chen. „Distributed convex optimisation with event-triggered communication in networked systems“. International Journal of Systems Science 47, Nr. 16 (18.01.2016): 3876–87. http://dx.doi.org/10.1080/00207721.2015.1135358.

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42

Li, Hongyi, Ziran Chen, Ligang Wu und Hak-Keung Lam. „Event-Triggered Control for Nonlinear Systems Under Unreliable Communication Links“. IEEE Transactions on Fuzzy Systems 25, Nr. 4 (August 2017): 813–24. http://dx.doi.org/10.1109/tfuzz.2016.2578346.

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43

Pullaguram, Deepak, Sukumar Mishra und Nilanjan Senroy. „Event-Triggered Communication Based Distributed Control Scheme for DC Microgrid“. IEEE Transactions on Power Systems 33, Nr. 5 (September 2018): 5583–93. http://dx.doi.org/10.1109/tpwrs.2018.2799618.

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44

Liu, Jiayun, Weisheng Chen und Hao Dai. „Sampled-data based distributed convex optimization with event-triggered communication“. International Journal of Control, Automation and Systems 14, Nr. 6 (25.10.2016): 1421–29. http://dx.doi.org/10.1007/s12555-015-0133-9.

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45

Meinel, Martin, Michael Ulbrich und Sebastian Albrecht. „A class of distributed optimization methods with event-triggered communication“. Computational Optimization and Applications 57, Nr. 3 (11.10.2013): 517–53. http://dx.doi.org/10.1007/s10589-013-9609-9.

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46

Shi, Xiasheng, Ronghao Zheng, Zhiyun Lin und Gangfeng Yan. „Distributed optimization for economic power dispatch with event‐triggered communication“. Asian Journal of Control 22, Nr. 6 (20.05.2019): 2412–21. http://dx.doi.org/10.1002/asjc.2140.

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47

Mahmoud, Magdi S., und Mohamed Saif Ur Rahman. „Event triggered of microgrid control with communication and control optimization“. Journal of the Franklin Institute 353, Nr. 16 (November 2016): 4114–32. http://dx.doi.org/10.1016/j.jfranklin.2016.08.003.

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48

Takeda, Tomoki, und Zi-Jiang Yang. „Chaotic Secure Communication by Event-Triggered Extended High-Gain Observers“. IEEJ Transactions on Electronics, Information and Systems 143, Nr. 12 (01.12.2023): 1187–95. http://dx.doi.org/10.1541/ieejeiss.143.1187.

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49

Liu, Huiyang, und Xiaoshuang Wang. „Couple-Group Consensus for Multiagent Systems via Time-Dependent Event-Triggered Control“. Mathematical Problems in Engineering 2018 (09.09.2018): 1–13. http://dx.doi.org/10.1155/2018/2947643.

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Annotation:

This paper investigates couple-group consensus problems for multiagent first-order and second-order systems. Several consensus protocols are proposed based on the time-dependent distributed event-triggered control. For the case of no communication delays, the time-dependent event-triggered strategies are applied to couple-group consensus problems. Based on the matrix theory, algebraic conditions for couple-group consensus are established. For the system with communication delays, based on event-triggered strategies, a Lyapunov-Krasovskii functional is constructed to prove the input-to-state stability of the systems. Moreover, Zeno behavior is excluded. Finally, numeral examples are given to illustrate the effectiveness of these results.

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50

Chen, Ke, Guangyu Luo, Hao Zhou und Dongming Zhao. „Research on Formation Control Method of Heterogeneous AUV Group under Event-Triggered Mechanism“. Mathematics 10, Nr. 9 (20.04.2022): 1373. http://dx.doi.org/10.3390/math10091373.

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The time-sampling control strategy has communication discontinuities in the control of multiple AUVs (autonomous underwater vehicles). To overcome this problem, a distributed event-triggered communication mechanism is proposed to make each AUV communicate only when its own state is updated, which reduces the frequency of communication and improves the stability. This mechanism has better adaptability for formation control between heterogeneous AUV groups. At the same time, two consistency control algorithms based on event-triggered for homogeneous and heterogeneous AUV groups are studied, respectively. The known consistency algorithms are applied to the control of heterogeneous AUV groups for comparative analysis. The simulation results demonstrate that the number of communication among AUVs under the event-triggered control strategy can be significantly reduced. Therefore, the stability of the system is improved. Compared with the traditional consensus algorithm, the algorithm proposed in this paper has advantages in the control of heterogeneous AUV groups.

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