Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/3164
Full metadata record
DC FieldValueLanguage
dc.contributor.authorLiu, Y-
dc.contributor.authorWang, Z-
dc.contributor.authorLiang, J-
dc.contributor.authorLiu, X-
dc.coverage.spatial12en
dc.date.accessioned2009-03-24T17:34:46Z-
dc.date.available2009-03-24T17:34:46Z-
dc.date.issued2008-
dc.identifier.citationIEEE Transactions on Systems, Man, and Cybernetics, Part B, 38 (5) 1314-1325en
dc.identifier.issn1083-4419-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/3164-
dc.descriptionCopyright [2008] IEEE. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Brunel University's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.-
dc.description.abstractIn this paper, a synchronization problem is investigated for an array of coupled complex discrete-time networks with the simultaneous presence of both the discrete and distributed time delays. The complex networks addressed which include neural and social networks as special cases are quite general. Rather than the commonly used Lipschitz-type function, a more general sector-like nonlinear function is employed to describe the nonlinearities existing in the network. The distributed infinite time delays in the discrete-time domain are first defined. By utilizing a novel Lyapunov-Krasovskii functional and the Kronecker product, it is shown that the addressed discrete-time complex network with distributed delays is synchronized if certain linear matrix inequalities (LMIs) are feasible. The state estimation problem is then studied for the same complex network, where the purpose is to design a state estimator to estimate the network states through available output measurements such that, for all admissible discrete and distributed delays, the dynamics of the estimation error is guaranteed to be globally asymptotically stable. Again, an LMI approach is developed for the state estimation problem. Two simulation examples are provided to show the usefulness of the proposed global synchronization and state estimation conditions. It is worth pointing out that our main results are valid even if the nominal subsystems within the network are unstable.en
dc.format.extent702362 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoen-
dc.publisherIEEEen
dc.subjectComplex networksen
dc.subjectdiscrete time delaysen
dc.subjectdistributed time delaysen
dc.subjectlinear matrix inequality (LMI)en
dc.subjectLyapunov– Krasovskii functionalen
dc.subjectneural networksen
dc.subjectstate estimationen
dc.subjectsynchronizationen
dc.titleSynchronization and state estimation for discrete-time complex networks with distributed delaysen
dc.typeResearch Paperen
Appears in Collections:Computer Science
Dept of Computer Science Research Papers

Files in This Item:
File Description SizeFormat 
Fulltext685.9 kBAdobe PDFView/Open


Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.