Moving identification via weighted least-squares estimation

Wen Teng Wu, Y. T. Chu, Kuo Chieh Chen

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)


Moving identification using weighted least-squares estimation is developed. Two weighting factors are used: one for discarding old data, the other for adding new data, and these two weighting factors are chosen to ensure that the estimated parameters are convergent. The sufficient conditions for the convergent property are also presented. The proposed method is suitable for time-varying systems.

Original languageEnglish
Pages (from-to)477-486
Number of pages10
JournalInternational Journal of Systems Science
Issue number3
Publication statusPublished - 1987

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Theoretical Computer Science
  • Computer Science Applications


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