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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