Title :
Improved system identification with renormalization group
Author :
Qing-Guo Wang ; Chao Yu ; Yong Zhang
Author_Institution :
Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore, Singapore
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 :
least squares approximations; parameter estimation; coarse data set; least-squares algorithm; parameter estimation error; renormalization group; system identification; theoretical analysis; Analytical models; Educational institutions; Electronic mail; Estimation error; Least squares approximations; White noise;
Conference_Titel :
Control and Automation (ICCA), 2013 10th IEEE International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-4707-5
DOI :
10.1109/ICCA.2013.6565089
