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Adaptive Event-Triggered Heterogeneous Consensus of Leader-Following Multi-Agent Systems With Nonlinear Dynamic Topology

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dc.contributor.authorXiao, Z.
dc.contributor.authorXiao, Z.
dc.contributor.authorTao, J.
dc.contributor.authorLiu, C.
dc.contributor.authorShi, P.
dc.contributor.authorRudas, I.J.
dc.date.issued2025
dc.descriptionDate of Publication: 23 July 2024
dc.description.abstractThis paper is interested in the event-triggered leader-following consensus problem for discrete-time multi-agent systems subject to nonlinear dynamic topology. Considering that the on-board resources of each agent are generally limited, a novel adaptive event-triggered strategy is presented in this paper through establishing a nonlinear transformation law of consensus errors, which provides an effective way to weaken the impact of small fluctuations on triggering behaviors after the error systems converge. Then, an interval type-2 fuzzy model is introduced to describe the nonlinear dynamic topology where the dynamic characteristics contain both nonlinear time-varying law and uncertain parameter. In view of the discrepancies in adjacency relationships between different agents, the heterogeneous fuzzy-dependent controllers are employed to further decrease the consensus error. Meanwhile, some sufficient conditions are deduced to solve the designed controllers while ensuring that the consensus of multi-agent systems can be achieved with desired H∞ performance. Ultimately, advantages of the presented leader-following control strategy are illustrated by two examples.
dc.description.statementofresponsibilityZehui Xiao, Zijing Xiao, Jie Tao, Chang Liu, Peng Shi, and Imre J. Rudas
dc.identifier.citationIEEE Transactions on Automation Science and Engineering, 2025; 22:5781-5791
dc.identifier.doi10.1109/TASE.2024.3430895
dc.identifier.issn1042-296X
dc.identifier.issn1042-296X
dc.identifier.orcidShi, P. [0000-0001-6295-0405] [0000-0001-8218-586X] [0000-0002-0864-552X] [0000-0002-1358-2367] [0000-0002-5312-5435]
dc.identifier.urihttps://hdl.handle.net/2440/143301
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers
dc.relation.granthttp://purl.org/au-research/grants/arc/DP240101140
dc.rights© 2024 IEEE
dc.source.urihttp://dx.doi.org/10.1109/tase.2024.3430895
dc.subjectMulti-agent systems; adaptive event-triggered strategy; nonlinear dynamic topology; heterogeneous controller
dc.titleAdaptive Event-Triggered Heterogeneous Consensus of Leader-Following Multi-Agent Systems With Nonlinear Dynamic Topology
dc.typeJournal article
pubs.publication-statusPublished

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