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Адаптивное гарантированное оценивание с учетом информации по множеству «Родственных» объектов

Адаптивное гарантированное оценивание с учетом информации по множеству «Родственных» объектов

Abstract

Предложены алгоритмы оценивания состояния объекта с использованием информации о «родственных» объектах при наличии действующих на объект возмущений и помех (ошибок) в измерениях при неполных и неточных измерениях вектора объекта. Информация о возмущениях и ошибках измерений известна с точностью до некоторых заданных множеств. В случае изменения траектории движения объекта предложено использовать информацию о группе аналогичных объектов с целью определения модели дальнейшего движения рассматриваемого объекта.

The paper gives the estimation algorithms of object's state on the basis of data on "relative" objects under disturbances and not precise and full measurements of object's vector. The information on disturbances and measurement errors is known only to some defined sets. If the trajectory of object is changed, the information on "relative" objects is used to define the model for the object considered.

Keywords

АДАПТИВНОЕ ГАРАНТИРОВАННОЕ ОЦЕНИВАНИЕ, ИНФОРМАЦИОННОЕ МНОЖЕСТВО, "РОДСТВЕННЫЕ" ОБЪЕКТЫ, РАЗЛАДКА, "RELATIVE" OBJECTS

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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!
0
Average
Average
Average
gold