Dynamic Event-Triggered Consensus Control for Input Constrained Multi-Agent Systems With a Designable Minimum Inter-Event TimeOA北大核心CSTPCD
Dynamic Event-Triggered Consensus Control for Input Constrained Multi-Agent Systems With a Designable Minimum Inter-Event Time
This paper investigates the consensus control of multi-agent systems(MASs)with constrained input using the dynamic event-triggered mechanism(ETM).Consider the MASs with small-scale networks where a centralized dynamic ETM with global information of the MASs is first designed.Then,a distributed dynamic ETM which only uses local information is developed for the MASs with large-scale networks.It is shown that the semi-global consensus of the MASs can be achieved by the designed bounded control protocol where the Zeno phe-nomenon is eliminated by a designable minimum inter-event time.In addition,it is easier to find a trade-off between the conver-gence rate and the minimum inter-event time by an adjustable parameter.Furthermore,the results are extended to regional consensus of the MASs with the bounded control protocol.Numerical simulations show the effectiveness of the proposed approach.
Meilin Li;Yue Long;Tieshan Li;Hongjing Liang;C.L.Philip Chen
School of Automation Engineering,University of Electronic Science and Technology of China,Chengdu 611731,ChinaSchool of Automation Engineering,University of Electronic Science and Technology of China,Chengdu 611731||Yangtze Delta Region Institute,University of Electronic Science and Technology of China,Huzhou 313000||Laboratory of Electromagnetic Space Cognition and Intelligent Control,Beijing 100089,ChinaSchool of Computer Science and Engineering,South China University of Technology,Guangzhou 510006||School of Automation Engineering,University of Electronic Science and Technology of China,Chengdu 611731,China
Constrained inputdesignable minimum inter-event timedirected communication topologydynamic event-triggered mechanismMASs consensus control
《自动化学报（英文版）》 2024 (003)
649-660 / 12
This work was supported in part by the National Natural Science Foundation of China(51939001,61976033,62273072)and the Natural Science Foundation of Sichuan Province(2022NSFSC0903).
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