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Identification and prediction propagation of uncertainty in models with bounded noise

 

作者: Karel Keesman,   Gerrit Van Straten,  

 

期刊: International Journal of Control  (Taylor Available online 1989)
卷期: Volume 49, issue 6  

页码: 2259-2269

 

ISSN:0020-7179

 

年代: 1989

 

DOI:10.1080/00207178908559771

 

出版商: Taylor & Francis Group

 

数据来源: Taylor

 

摘要:

The identification of measurement, parametric, and structural model uncertainty is considered for models from observations with bounded noise. A min-max estimate for the upper bound of the structural model uncertainty is presented. The propa- gation of the parametric and structural model uncertainty, as a result of the obser- vation uncertainty bounds to the model prediction error, is examined. A simple water quality model is used to illustrate the different steps.

 

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