A new look at least-squares dynamic system identification
作者:
ANTONI NIEDERLIŃSKI,
期刊:
International Journal of Control
(Taylor Available online 1984)
卷期:
Volume 40,
issue 3
页码: 467-478
ISSN:0020-7179
年代: 1984
DOI:10.1080/00207178408933287
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
Singular value decomposition is applied to assess the influence of finite-accuracy data antt finite-resolution computing equipment on results of least-squares (LS) dynamic system identification. Singular value decomposition analysis also suggests new, more practical definitions of irientif lability and persistent excitation.
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