Data Based Identification and Prediction of Nonlinear and Complex Dynamical Systems
| Contribuinte(s) |
University of Aberdeen, Natural & Computing Sciences, Physics University of Aberdeen, Institute for Complex Systems and Mathematical Biology (ICSMB) University of Aberdeen, Environment and Food Security |
|---|---|
| Data(s) |
05/08/2016
05/08/2016
27/06/2016
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| Resumo |
We 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. Peer reviewed Postprint |
| Identificador |
Wang , W-X , Lai , Y-C & Grebogi , C 2016 , ' Data Based Identification and Prediction of Nonlinear and Complex Dynamical Systems ' Physics Reports . , 10.1016/j.physrep.2016.06.004 0370-1573 PURE: 68287791 PURE UUID: 0fe37d5b-17f1-40b7-b5e4-3446ace4d20e |
| Idioma(s) |
eng |
| Relação |
Physics Reports |
| Direitos |
© 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/ |
| Palavras-Chave | #QC Physics #QC |
| Tipo |
Journal article |
