首页   按字顺浏览 期刊浏览 卷期浏览 Identification of continuous-time multivariable systems from sampled data†
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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