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dc.contributor.authorLiang, J-
dc.contributor.authorWang, Z-
dc.contributor.authorLiu, X-
dc.contributor.authorLouvieris, P-
dc.date.accessioned2012-06-15T14:23:30Z-
dc.date.available2012-06-15T14:23:30Z-
dc.date.issued2012-
dc.identifier.citationIEEE Transactions on Neural Networks and Learning Systems, 23(6): 942 - 953, Jun 2012en_US
dc.identifier.issn2162-237X-
dc.identifier.urihttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=6191361en
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/6488-
dc.descriptionThis is the post-print version of the Article. The official published version can be accessed from the link below - Copyright @ 2012 IEEEen_US
dc.description.abstractIn this paper, a new synchronization problem is addressed for an array of 2-D coupled dynamical networks. The class of systems under investigation is described by the 2-D nonlinear state space model which is oriented from the well-known Fornasini–Marchesini second model. For such a new 2-D complex network model, both the network dynamics and the couplings evolve in two independent directions. A new synchronization concept is put forward to account for the phenomenon that the propagations of all 2-D dynamical networks are synchronized in two directions with influence from the coupling strength. The purpose of the problem addressed is to first derive sufficient conditions ensuring the global synchronization and then extend the obtained results to more general cases where the system matrices contain either the norm-bounded or the polytopic parameter uncertainties. An energy-like quadratic function is developed, together with the intensive use of the Kronecker product, to establish the easy-to-verify conditions under which the addressed 2-D complex network model achieves global synchronization. Finally, a numerical example is given to illustrate the theoretical results and the effectiveness of the proposed synchronization scheme.en_US
dc.description.sponsorshipThis work was supported in part by the National Natural Science Foundation of China under Grants 61028008 and 61174136, the International Science and Technology Cooperation Project of China under Grant No. 2009DFA32050, the Natural Science Foundation of Jiangsu Province of China under Grant BK2011598, the Qing Lan Project of Jiangsu Province of China, the Project sponsored by SRF for ROCS of SEM of China, the Engineering and Physical Sciences Research Council (EPSRC) of the U.K. under Grant GR/S27658/01, the Royal Society of the U.K., and the Alexander von Humboldt Foundation of Germany.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subject2-D systemsen_US
dc.subjectComplex networksen_US
dc.subjectCouplingen_US
dc.subjectParameter uncertaintiesen_US
dc.subjectSynchronizationen_US
dc.titleRobust synchronization for 2-D discrete-time coupled dynamical networksen_US
dc.typeArticleen_US
dc.identifier.doihttp://dx.doi.org/10.1109/TNNLS.2012.2193414-
pubs.organisational-data/Brunel-
pubs.organisational-data/Brunel/Brunel Active Staff-
pubs.organisational-data/Brunel/Brunel Active Staff/School of Info. Systems, Comp & Maths-
pubs.organisational-data/Brunel/Brunel Active Staff/School of Info. Systems, Comp & Maths/IS and Computing-
pubs.organisational-data/Brunel/University Research Centres and Groups-
pubs.organisational-data/Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups-
pubs.organisational-data/Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups/Centre for Systems and Synthetic Biology-
pubs.organisational-data/Brunel/University Research Centres and Groups/School of Information Systems, Computing and Mathematics - URCs and Groups-
pubs.organisational-data/Brunel/University Research Centres and Groups/School of Information Systems, Computing and Mathematics - URCs and Groups/Centre for Information and Knowledge Management-
Appears in Collections:Publications
Computer Science
Dept of Computer Science Research Papers

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