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H-infinity consensus performance for discrete-time multi-agent systems with communication delay and multiple disturbances
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dc.contributor.author Park, M. J. -
dc.contributor.author Kwon, O. M. -
dc.contributor.author Park, Ju H. -
dc.contributor.author Lee, S. M. -
dc.contributor.author Son, J. W. -
dc.contributor.author Cha, E. J. -
dc.date.available 2017-07-11T06:19:22Z -
dc.date.created 2017-04-10 -
dc.date.issued 2014-08 -
dc.identifier.issn 0925-2312 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/3054 -
dc.description.abstract This paper proposes a new H∞ consensus criterion for discrete-time multi-agent systems with communication-delay and disturbances. By constructing a suitable Lyapunov-Krasovskii (L-K) functional, which fractionizes the delay interval into two subsections, and utilizing reciprocally convex approach, a new H∞ consensus criterion for the concerned systems is established in terms of linear matrix inequalities (LMIs) which can be easily solved by various effective optimization algorithms. One numerical example is given to illustrate the effectiveness of the proposed method. © 2014 Elsevier B.V. -
dc.language English -
dc.publisher Elsevier B.V. -
dc.title H-infinity consensus performance for discrete-time multi-agent systems with communication delay and multiple disturbances -
dc.type Article -
dc.identifier.doi 10.1016/j.neucom.2014.01.044 -
dc.identifier.scopusid 2-s2.0-84899993397 -
dc.identifier.bibliographicCitation Park, M. J. (2014-08). H-infinity consensus performance for discrete-time multi-agent systems with communication delay and multiple disturbances. Neurocomputing, 138, 199–208. doi: 10.1016/j.neucom.2014.01.044 -
dc.description.isOpenAccess FALSE -
dc.subject.keywordAuthor H-infinity consensus -
dc.subject.keywordAuthor Discrete-time multi-agent systems -
dc.subject.keywordAuthor Time-delay -
dc.subject.keywordAuthor Lyapunov method -
dc.subject.keywordPlus NEURAL-NETWORKS -
dc.subject.keywordPlus STABILITY ANALYSIS -
dc.subject.keywordPlus DEPENDENT STABILITY -
dc.subject.keywordPlus COOPERATIVE CONTROL -
dc.subject.keywordPlus STATE ESTIMATION -
dc.subject.keywordPlus LINEAR-SYSTEMS -
dc.subject.keywordPlus FUZZY-SYSTEMS -
dc.subject.keywordPlus CRITERIA -
dc.subject.keywordPlus FEEDBACK -
dc.subject.keywordPlus SYNCHRONIZATION -
dc.citation.endPage 208 -
dc.citation.startPage 199 -
dc.citation.title Neurocomputing -
dc.citation.volume 138 -
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