Augmented hybrid method for continuous process identification from sampled data with coloured noise
作者:
HSIAO-PING HUANG,
CHENG-LIANG CHEN,
YUNG-CHENG CHAO,
期刊:
International Journal of Control
(Taylor Available online 1987)
卷期:
Volume 46,
issue 4
页码: 1373-1390
ISSN:0020-7179
年代: 1987
DOI:10.1080/00207178708933976
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
The identification of a linear continuous-time model for a multivariable dynamic system from sampled input-output observations is considered. An augmented hybrid parametric method is proposed to overcome the interference of the coloured output noise in the sampled output. The parameters of the continuous-time process model are estimated from an augmented input-output realization which utilizes the dynamic information of the discrete-time noise model. Numerical examples are presented to illustrate how to obtain an adequate dynamic process model, considering the coloured output noise, by using a discrete-time noise model.
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