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Bipartite Formation Tracking for Multi-Agent Systems Using Fully Distributed Dynamic Edge-Event-Triggered Protocol
Weihua Li; Huaguang Zhang; Yu Zhou; Yingchun Wang
发表期刊IEEE/CAA Journal of Automatica Sinica
ISSN2329-9266
2022
卷号9期号:5页码:847-853
摘要In this study, the bipartite time-varying output formation tracking problem for heterogeneous multi-agent systems (MASs) with multiple leaders and switching communication networks is considered. Note that the switching communication networks may be connected or disconnected. To address this problem, a novel reduced-dimensional observer-based fully distributed asynchronous dynamic edge-event-triggered output feedback control protocol is developed, and the Zeno behavior is ruled out. The theoretical analysis gives the admissible switching frequency and switching width under the proposed control protocol. Different from the existing works, the control protocol reduces the dimension of information to be transmitted between neighboring agents. Moreover, since an additional positive internal dynamic variable is introduced into the triggering functions, the control protocol can guarantee a larger inter-event time interval compared with previous results. Finally, a simulation example is given to verify the effectiveness and performance of the theoretical result.
关键词Bipartite control dynamic edge-event-triggered control formation tracking multi-agent systems (MASs)
DOI10.1109/JAS.2021.1004377
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被引频次:19[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/47548
专题学术期刊_IEEE/CAA Journal of Automatica Sinica
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Weihua Li,Huaguang Zhang,Yu Zhou,et al. Bipartite Formation Tracking for Multi-Agent Systems Using Fully Distributed Dynamic Edge-Event-Triggered Protocol[J]. IEEE/CAA Journal of Automatica Sinica,2022,9(5):847-853.
APA Weihua Li,Huaguang Zhang,Yu Zhou,&Yingchun Wang.(2022).Bipartite Formation Tracking for Multi-Agent Systems Using Fully Distributed Dynamic Edge-Event-Triggered Protocol.IEEE/CAA Journal of Automatica Sinica,9(5),847-853.
MLA Weihua Li,et al."Bipartite Formation Tracking for Multi-Agent Systems Using Fully Distributed Dynamic Edge-Event-Triggered Protocol".IEEE/CAA Journal of Automatica Sinica 9.5(2022):847-853.
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