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Data based identification and prediction of nonlinear and complex dynamical systems

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dc.contributor.authorWang, Wen-Xu
dc.contributor.authorLai, Ying-Cheng
dc.contributor.authorGrebogi, Celso
dc.contributor.institutionUniversity of Aberdeen.Physicsen
dc.contributor.institutionUniversity of Aberdeen.Institute for Complex Systems and Mathematical Biology (ICSMB)en
dc.contributor.institutionUniversity of Aberdeen.Environment and Food Securityen
dc.date.accessioned2017-06-27T23:03:24Z
dc.date.available2017-06-27T23:03:24Z
dc.date.embargoedUntil2017-06-27
dc.date.issued2016-07-12
dc.descriptionWe thank Dr. R. Yang (formerly at ASU), Dr. R.-Q. Su (formerly at ASU), and Mr. Zhesi Shen for their contributions to a number of original papers on which this Review is partly based. This work was supported by ARO under Grant No. W911NF-14-1-0504. W.-X. Wang was also supported by NSFC under Grants No. 61573064 and No. 61074116, as well as by the Fundamental Research Funds for the Central Universities, Beijing Nova Programme.en
dc.description.statusPeer revieweden
dc.format.extent76
dc.format.extent3656705
dc.identifier68287791
dc.identifier0fe37d5b-17f1-40b7-b5e4-3446ace4d20e
dc.identifier84990065749
dc.identifier.citationWang, W-X, Lai, Y-C & Grebogi, C 2016, 'Data based identification and prediction of nonlinear and complex dynamical systems', Physics Reports, vol. 644, pp. 1-76. https://doi.org/10.1016/j.physrep.2016.06.004en
dc.identifier.doi10.1016/j.physrep.2016.06.004
dc.identifier.issn0370-1573
dc.identifier.otherORCID: /0000-0002-9811-4617/work/107061974
dc.identifier.urihttp://hdl.handle.net/2164/8883
dc.identifier.vol644en
dc.language.isoeng
dc.relation.ispartofPhysics Reportsen
dc.subjectQC Physicsen
dc.subject.lccQCen
dc.titleData based identification and prediction of nonlinear and complex dynamical systemsen
dc.typeJournal articleen

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