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Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICCA.2013.6565089
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dc.titleImproved system identification with renormalization group
dc.contributor.authorWang, Q.-G.
dc.contributor.authorYu, C.
dc.contributor.authorZhang, Y.
dc.date.accessioned2014-06-19T03:13:31Z
dc.date.available2014-06-19T03:13:31Z
dc.date.issued2013
dc.identifier.citationWang, Q.-G.,Yu, C.,Zhang, Y. (2013). Improved system identification with renormalization group. IEEE International Conference on Control and Automation, ICCA : 878-883. ScholarBank@NUS Repository. <a href="https://doi.org/10.1109/ICCA.2013.6565089" target="_blank">https://doi.org/10.1109/ICCA.2013.6565089</a>
dc.identifier.isbn9781467347075
dc.identifier.issn19483449
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/70559
dc.description.abstractThis paper proposes an improved system identification method with Renormalization Group. Renormalization Group is applied to a fine data set to obtain a coarse data set. The least-squares algorithm is performed on the coarse data set. The theoretical analysis under certain conditions shows that the parameter estimation error could be reduced. The proposed method is illustrated with examples. © 2013 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/ICCA.2013.6565089
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/ICCA.2013.6565089
dc.description.sourcetitleIEEE International Conference on Control and Automation, ICCA
dc.description.page878-883
dc.identifier.isiutNOT_IN_WOS
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