Event-Based Consensus Tracking for Nonlinear Multi-Agent Systems Under Semi-Markov Jump Topology

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dc.contributor.authorYu, J.
dc.contributor.authorLi, Q.
dc.contributor.authorXing, W.
dc.contributor.authorYuan, X.
dc.contributor.authorShi, Y.
dc.date.issued2021
dc.description.abstractThis paper studies the event-triggering leader-follower consensus with the strictly dissipative performance for nonlinear multi-agent systems (MASs) with semi-Markov changing topologies. First, a polynomial fuzzy model is established to describe the error nonlinear multi-agent system that is formed by one virtual leader and followers. Then, a new event-triggering transmission strategy is proposed to mitigate communication and computational load. By utilizing the event-triggering mechanism and modeling the switching topologies by semi-Markov process, an event-triggering consensus protocol based on sampled data is designed. Compared with traditional Markov jump topologies, the transition rate is time-varying for semi-Markov switching topologies. By mode-dependent Lyapunov-Krasovskii functional, the sum of square based relaxed stabilization conditions for fuzzy MASs under semi-Markov jump topologies are obtained to guarantee event-triggering consensus in an even-square sense. An illustrative example is provided to verify the proposed consensus design schemes.
dc.description.statementofresponsibilityJiafeng Yu, Qinsheng Li, Wen Xing, Xin Yuan, and Yan Shi
dc.identifier.citationIEEE Access, 2021; 9:135868-135878
dc.identifier.doi10.1109/ACCESS.2021.3116253
dc.identifier.issn2169-3536
dc.identifier.issn2169-3536
dc.identifier.orcidYuan, X. [0000-0001-5056-171X]
dc.identifier.urihttps://hdl.handle.net/2440/146139
dc.language.isoen
dc.publisherIEEE
dc.rightsThis work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
dc.source.urihttps://doi.org/10.1109/access.2021.3116253
dc.subjectMulti-agent system; fuzzy modeling; strict dissipativity; event-triggering control; semi-Markov switching topology.
dc.titleEvent-Based Consensus Tracking for Nonlinear Multi-Agent Systems Under Semi-Markov Jump Topology
dc.typeJournal article
pubs.publication-statusPublished

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