首页   按字顺浏览 期刊浏览 卷期浏览 Moving identification via weighted least-squares estimation
Moving identification via weighted least-squares estimation

 

作者: WEN-TENG WU,   Y. T. CHU,   KUO-CHIEH CHEN,  

 

期刊: International Journal of Systems Science  （Taylor Available online 1987）
卷期: Volume 18, issue 3  

页码: 477-486

 

ISSN:0020-7721

 

年代: 1987

 

DOI:10.1080/00207728708963981

 

出版商: Taylor & Francis Group

 

数据来源: Taylor

 

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.

 

点击下载:  PDF (276KB)



返 回