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Modeling and Analysis of Closed-Loop Systems from Operating Data

 

作者: S.M. Pandit,   S.M. Wu,  

 

期刊: Technometrics  （Taylor Available online 1977）
卷期: Volume 19, issue 4  

页码: 477-485

 

ISSN:0040-1706

 

年代: 1977

 

DOI:10.1080/00401706.1977.10489589

 

出版商: Taylor & Francis Group

 

关键词: Closed-loop system identification;Multivariate time series;Vector autoregressive moving average models;Modeling procedure;Correlated noise;Optimal control equation;Performance index

 

数据来源: Taylor

 

摘要:

A multivariate time series procedure of modeling closed-loop systems from operating data is outlined and illustrated by real life data from a paper-making process. The procedure does not require a priori knowledge, sample correlations or spectra for guessing the model form. The paper also illustrates a simple method of obtaining the minimum mean squared error control equation and ascertaining the performance of the existing control strategy.

 

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