Non-parametric identification with errors in independent variables
作者:
E. RAFAJŁOWICZ,
期刊:
International Journal of Systems Science
(Taylor Available online 1994)
卷期:
Volume 25,
issue 9
页码: 1513-1520
ISSN:0020-7721
年代: 1994
DOI:10.1080/00207729408949294
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
The problem of non-parametric identification of a static system is considered in the presence of errors both in dependent and independent variables. Identification is based on the orthogonal series expansion. Errors in independent variables are modelled in two ways, namely as pointwise errors and as errors caused by an averaging. Sufficient conditions for MISE consistency are proved in both cases.
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