Identification of continuous-time multivariable systems from sampled data†
作者:
N. K. SINHA,
G. J. LASTMAN,
期刊:
International Journal of Control
(Taylor Available online 1982)
卷期:
Volume 35,
issue 1
页码: 117-126
ISSN:0020-7179
年代: 1982
DOI:10.1080/00207178208922605
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
Several approaches to estimating the parameters of a continuous-time model of a multivariable system from samples of input and output observations arc discussed. These include indirect methods where a discrete-time model is first obtained from the input-output data and then transformed into a continuous-time model, as well as direct methods where the continuous-time model is obtained straight from the samples of the observations. An example is used to compare the methods.
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