期刊
AUTOMATICA
卷 40, 期 8, 页码 1333-1347出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.automatica.2004.03.010
关键词
system identification; power spectrum; subspace methods; state-space models; nonuniformly spaced measurements; shape filter
In this paper, we present a new subspace-based algorithm for the identification of multi-input/multi-output, square, discrete-time, linear-time invariant systems from nonuniformly spaced power spectrum measurements. The algorithm is strongly consistent and it is illustrated with one practical example that solves a stochastic road modeling problem. (C) 2004 Elsevier Ltd. All rights reserved.
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