Moving identification via weighted least-squares estimation

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

doi:10.1080/00207728708963981

Moving identification via weighted least-squares estimation

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

工學院

研究成果: Article › 同行評審

12 引文斯高帕斯（Scopus）

摘要

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.

原文	English
頁（從 - 到）	477-486
頁數	10
期刊	International Journal of Systems Science
卷	18
發行號	3
DOIs	https://doi.org/10.1080/00207728708963981
出版狀態	Published - 1987

All Science Journal Classification (ASJC) codes

控制與系統工程
理論電腦科學
電腦科學應用

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10.1080/00207728708963981

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引用此

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AB - 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.

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M3 - Article

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EP - 486

JO - International Journal of Systems Science

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Moving identification via weighted least-squares estimation

摘要

All Science Journal Classification (ASJC) codes

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