Full metadata record
DC Field | Value | Language |
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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 | Neurocomputing, v.138, pp.199 - 208 | - |
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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