Knowledge uncertainty supervision in automatic control and measurements

被引：0

作者：

D'Antona, Gabriele ^{[1
]}

机构：

[1] Politecn Milan, Dept Energy, Milan, Italy

来源：

2015 2ND INTERNATIONAL CONFERENCE ON KNOWLEDGE-BASED ENGINEERING AND INNOVATION (KBEI) | 2015年

关键词：

measurement uncertainty; state estimation; bayesian model selection; STATIC-STATE ESTIMATION; MODEL;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This paper presents three engineering applications concerning power system where knowledge uncertainty is managed properly in order to be able to control the process appropriately. The three examples reported are very different from each other especially for what concerns the complexity of the process involved, the time available for the decision process and for the cost of the uncertainty supervision system.

引用

页码：55 / 59

页数：5

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