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Robust estimators using mathematical programming algorithms

Authors: I. O. Habiballah;

Robust estimators using mathematical programming algorithms

Abstract

This paper presents different types of robust state estimators and introduces original formulations that allow solutions to be obtained using general-purpose mathematical programming algorithms. Different set up of bad measurements and bad leverage measurements are introduced to evaluate the performance of these estimators. Independent and confirming bad measurements are considered. The performance of the different estimators is evaluated by comparing the summation of the absolute residuals between the estimated and the actual values. The IEEE 14-bus DC example is used to illustrate the properties of these estimators.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
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