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dc.contributor.authorShi, Y.
dc.contributor.authorYin, YanYan
dc.contributor.authorWang, Song
dc.contributor.authorLiu, Y.
dc.contributor.authorLiu, F.
dc.date.accessioned2018-04-30T02:39:59Z
dc.date.available2018-04-30T02:39:59Z
dc.date.created2018-04-16T07:41:34Z
dc.date.issued2018
dc.identifier.citationShi, Y. and Yin, Y. and Wang, S. and Liu, Y. and Liu, F. 2018. Distributed leader-following consensus of nonlinear multi-agent systems with nonlinear input dynamics. Neurocomputing. 286: pp. 193-197.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/66259
dc.identifier.doi10.1016/j.neucom.2018.01.059
dc.description.abstract

© 2018 Elsevier B.V. This paper addresses the problem of distributed leader-following consensus for a multi-agent system with an affine nonlinear term. The communication topology we adopt is an undirected connected graph and the leader sends its information to one or more followers. To make each follower asymptotically synchronize with the leader, a nonlinear distributed control protocol is proposed. Using a Lyapunov function and a matrix theory, we establish sufficient conditions which ensure the consensus of these nonlinear multi-agent systems. Finally, a numerical simulation is provided to verify the effectiveness and usefulness of the developed method.

dc.publisherElsevier BV
dc.titleDistributed leader-following consensus of nonlinear multi-agent systems with nonlinear input dynamics
dc.typeJournal Article
dcterms.source.issn0925-2312
dcterms.source.titleNeurocomputing
curtin.departmentSchool of Electrical Engineering, Computing and Mathematical Science (EECMS)
curtin.accessStatusOpen access


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