Stochastic model reduction via Hankel-approximation
作者:
GYÖRGY MICHALETZKY,
期刊:
International Journal of Control
(Taylor Available online 1989)
卷期:
Volume 50,
issue 5
页码: 1857-1861
ISSN:0020-7179
年代: 1989
DOI:10.1080/00207178908953470
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
We consider the problem of approximating a multidimensional stationary processy(t) of McMillan degreenwith another stationary processyk(t) of McMillan degreek<nminimizing theL2- norm of the difference in the predictions fory(t) andyk(t). We prove that one solution to this problem can be obtained by using the optimal Hankel approximant of the ‘phase’ function ofyk(t),t∈Z.
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