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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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