State matrix identification via Poisson moment functionals
作者:
DAR-HSI MAO,
SHU-MIN CHIANG,
期刊:
International Journal of Systems Science
(Taylor Available online 1990)
卷期:
Volume 21,
issue 12
页码: 2457-2467
ISSN:0020-7721
年代: 1990
DOI:10.1080/00207729008910564
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
Poisson moment functional are used here to identify the state matrix of linear time-invariant systems. The method provides an effective system identification algorithm in the presence of arbitrary unknown initial conditions of control systems. The method has the desirable attributes of good accuracy, direct sample data, case of calculation, and suitability for state-space models and arbitrary initial conditions. Examples are included to illustrate the applicability of the proposed method.
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