Neural networks-based distributed adaptive control of nonlinear multiagent systems

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dc.contributor.authorShen, Q.
dc.contributor.authorShi, P.
dc.contributor.authorZhu, J.
dc.contributor.authorWang, S.
dc.contributor.authorShi, Y.
dc.date.issued2020
dc.description.abstractThe cooperative control problem of nonlinear multiagent systems is studied in this paper. The followers in the communication network are subject to unmodeled dynamics. A fully distributed neural-networks-based adaptive control strategy is designed to guarantee that all the followers are asymptotically synchronized to the leader, and the synchronization errors are within a prescribed level, where some global information, such as minimum and maximum singular value of graph adjacency matrix, is not necessarily to be known. Based on the Lyapunov stability theory and algebraic graph theory, the stability analysis of the resulting closed-loop system is provided. Finally, an numerical example illustrates the effectiveness and potential of the proposed new design techniques.
dc.description.statementofresponsibilityQikun Shen, Peng Shi, Junwu Zhu, Shuoyu Wang, and Yan Shi
dc.identifier.citationIEEE Transactions on Neural Networks and Learning Systems, 2020; 31(3):1010-1021
dc.identifier.doi10.1109/TNNLS.2019.2915376
dc.identifier.issn2162-237X
dc.identifier.issn2162-2388
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/2440/133247
dc.language.isoen
dc.publisherIEEE
dc.relation.granthttp://purl.org/au-research/grants/arc/DP170102644
dc.rights© 2019 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See https://www.ieee.org/publications/rights/index.html for more information.
dc.source.urihttps://doi.org/10.1109/tnnls.2019.2915376
dc.subjectCooperative control; leader-following consensus; prescribed performance; unmodeled dynamics
dc.titleNeural networks-based distributed adaptive control of nonlinear multiagent systems
dc.typeJournal article
pubs.publication-statusPublished

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