Adaptive time-varying output formation tracking control for multi-agent system with dynamic event-triggered strategies
This paper investigates the output feedback time-varying formation(OFTVF) tracking issue for general linear multi-agent systems(MASs). To address this issue, novel dynamic event-triggered(DET) strategies are proposed to manage the inter-agent communication effectively. It removes the assumption that...
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Published in | Journal of computational science Vol. 90; p. 102630 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.08.2025
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Online Access | Get full text |
ISSN | 1877-7503 |
DOI | 10.1016/j.jocs.2025.102630 |
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Abstract | This paper investigates the output feedback time-varying formation(OFTVF) tracking issue for general linear multi-agent systems(MASs). To address this issue, novel dynamic event-triggered(DET) strategies are proposed to manage the inter-agent communication effectively. It removes the assumption that constant interaction is required between agents, and therefore communication cost is reduced significantly. Then under the proposed DET strategies, an adaptive OFTVF tracking control algorithms is designed for general linear MASs. Using Lyapunov stability theory, it is demonstrated that under proper conditions the proposed protocol is implementable. Furthermore, for the constructed DET scheme, no agent exhibit the Zeno behavior. Simulation example is presented at the end of the paper to demonstrate the effectiveness of designed DET control mechanism. |
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AbstractList | This paper investigates the output feedback time-varying formation(OFTVF) tracking issue for general linear multi-agent systems(MASs). To address this issue, novel dynamic event-triggered(DET) strategies are proposed to manage the inter-agent communication effectively. It removes the assumption that constant interaction is required between agents, and therefore communication cost is reduced significantly. Then under the proposed DET strategies, an adaptive OFTVF tracking control algorithms is designed for general linear MASs. Using Lyapunov stability theory, it is demonstrated that under proper conditions the proposed protocol is implementable. Furthermore, for the constructed DET scheme, no agent exhibit the Zeno behavior. Simulation example is presented at the end of the paper to demonstrate the effectiveness of designed DET control mechanism. |
ArticleNumber | 102630 |
Author | Zhan, Xisheng Yan, Huaicheng Zhang, Xiaoyi Han, Tao Wu, Jie |
Author_xml | – sequence: 1 givenname: Jie surname: Wu fullname: Wu, Jie organization: College of Electrical Engineering and Automation, Hubei Normal University, Huangshi 435002, China – sequence: 2 givenname: Xiaoyi surname: Zhang fullname: Zhang, Xiaoyi organization: College of Electrical Engineering and Automation, Hubei Normal University, Huangshi 435002, China – sequence: 3 givenname: Xisheng orcidid: 0000-0002-0945-4362 surname: Zhan fullname: Zhan, Xisheng email: xszhan@hbnu.edu.cn organization: College of Electrical Engineering and Automation, Hubei Normal University, Huangshi 435002, China – sequence: 4 givenname: Tao surname: Han fullname: Han, Tao organization: College of Electrical Engineering and Automation, Hubei Normal University, Huangshi 435002, China – sequence: 5 givenname: Huaicheng surname: Yan fullname: Yan, Huaicheng organization: School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, China |
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Cites_doi | 10.1109/JAS.2023.123339 10.1109/TCYB.2016.2612482 10.1016/j.neucom.2016.03.008 10.1016/j.jfranklin.2021.04.011 10.1016/j.isatra.2021.09.002 10.1016/j.jfranklin.2019.11.077 10.1109/TCYB.2020.2969377 10.1109/TCSI.2016.2618944 10.1109/TCST.2021.3055370 10.1109/TAC.2022.3202985 10.1109/TAC.2011.2174666 10.1109/TCNS.2015.2489358 10.1109/TAC.2020.2979936 10.1007/s11071-021-06321-6 10.1109/TSMC.2020.2981404 10.1016/j.neucom.2019.03.045 10.1016/j.automatica.2019.108671 10.1109/TCYB.2022.3165212 10.1016/j.isatra.2021.08.001 10.1109/TCYB.2020.3035283 10.1109/TAC.2018.2874703 10.1109/TAC.2018.2845694 10.1109/TNSE.2022.3159173 10.1109/TCYB.2019.2926115 |
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Keywords | Time-varying formation Output feedback control Adaptive control Dynamic event-triggered strategy |
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