Brief Consistency analysis of subspace identification methods based on a linear regression approach

作者: Torben Knudsen

DOI: 10.1016/S0005-1098(00)00125-4

关键词:

摘要: In the literature results can be found which claim consistency for subspace method under certain quite weak assumptions. Unfortunately, a new result gives counter example showing inconsistency these assumptions and then more strict sufficient however does not include important model structures such as, e.g. Box-Jenkins. Based on simple least-squares approach this paper shows possible develops only slightly stricter includes any structure.

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