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dc.contributor.authorWang, Wen-Xu
dc.contributor.authorLai, Ying-Cheng
dc.contributor.authorGrebogi, Celso
dc.date.accessioned2017-06-27T23:03:24Z
dc.date.available2017-06-27T23:03:24Z
dc.date.issued2016-07-12
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 . DOI: 10.1016/j.physrep.2016.06.004en
dc.identifier.issn0370-1573
dc.identifier.otherPURE: 68287791
dc.identifier.otherPURE UUID: 0fe37d5b-17f1-40b7-b5e4-3446ace4d20e
dc.identifier.otherScopus: 84990065749
dc.identifier.urihttp://hdl.handle.net/2164/8883
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.format.extent76en
dc.language.isoeng
dc.relation.ispartofPhysics Reportsen
dc.rights© 2016. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subjectQC Physicsen
dc.subject.lccQCen
dc.titleData based identification and prediction of nonlinear and complex dynamical systemsen
dc.typeJournal articleen
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.description.statusPeer revieweden
dc.description.versionPostprinten
dc.identifier.doihttps://doi.org/10.1016/j.physrep.2016.06.004
dc.date.embargoedUntil27-06-20


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