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Improved system identification with Renormalization Group
Authors:Qing-Guo Wang  Chao Yu  Yong Zhang
Affiliation:1. Department of Electrical and Computer Engineering, National University of Singapore, 117576, Singapore;2. Qiming Venture Partners, Shanghai 200121, China
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.
Keywords:System identification  Least squares estimate  Renormalization Group
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