Improved system identification with renormalization group

Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICCA.2013.6565089

Title:	Improved system identification with renormalization group
Authors:	Wang, Q.-G. Yu, C. Zhang, Y.
Issue Date:	2013
Citation:	Wang, 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. https://doi.org/10.1109/ICCA.2013.6565089
Abstract:	This 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.
Source Title:	IEEE International Conference on Control and Automation, ICCA
URI:	http://scholarbank.nus.edu.sg/handle/10635/70559
ISBN:	9781467347075
ISSN:	19483449
DOI:	10.1109/ICCA.2013.6565089
Appears in Collections:	Staff Publications

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