 Consensus of second-order delayed nonlinear multi-agent systems via node-based distributed adaptive completely intermittent protocolsHongjie Li, Yinglian Zhu, Liu Jing and Wang Ying Applied Mathematics and Computation, 2018, vol. 326, issue C, 1-15 Abstract: The paper discusses second-order consensus problem of nonlinear multi-agent systems with time delay and intermittent communications. Basing on local intermittent information among the agents, an effective control protocol is proposed by node-based distributed adaptive intermittent information, which a time-varying coupling weight to each node in the communication, some novel criteria are derived in matrix inequalities form by resorting to the generalized Halanay inequality. It is proved that second-order consensus can be reached if the measure of communication is larger than a threshold value under the strongly connected and balanced topology. Moreover, consensus problem is also considered for second-order non-delayed nonlinear multi-agent systems. Finally, a simulation example is presented to illustrate the theoretical results. Keywords: Multi-agent systems; Second-order consensus; Time delay; Adaptive intermittent control; Distributed adaptive law (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:326:y:2018:i:c:p:1-15 DOI: 10.1016/j.amc.2018.01.005 Access Statistics for this article Applied Mathematics and Computation is currently edited by Theodore Simos More articles in Applied Mathematics and Computation from Elsevier |
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