Improved system identification with Renormalization Group

Qing Guo Wang, Chao Yu, Yong Zhang

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)1481-1488
Number of pages8
JournalISA Transactions
Issue number5
Publication statusPublished - 1 Sept 2014
Externally publishedYes


  • Group
  • Least squares estimate
  • Renormalization
  • System identification

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Instrumentation
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics


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