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Оптимизация модели позиционных характерстик электромагнитного датчика линейных перемещний

Оптимизация модели позиционных характерстик электромагнитного датчика линейных перемещний

Abstract

В статье рассматривается аппроксимация позиционной характеристики первичных преобразователей с помощью модифицированной функции Гаусса. Приведены сравнительные результаты оптимизации коэффициентов четырёх разновидностей аппроксимирующей функции для трёх критериев оптимизации.

The paper deals with approximation of positional characteristic of sensor using modified Gaussian function. In order to decrease the error, approximation function coefficients are calculated separately at every interval of interest.

Keywords

МАТЕМАТИЧЕСКАЯ МОДЕЛЬ, АППРОКСИМАЦИЯ, ПРЕОБРАЗОВАТЕЛИ ЛИНЕЙНЫХ ПЕРЕМЕЩЕНИЙ, ПОГРЕШНОСТЬ, АППРОКСИМИРУЮЩАЯ ФУНКЦИЯ, КОЭФФИЦИЕНТЫ АППРОКСИМИРУЮЩЕЙ ФУНКЦИИ, ПОЗИЦИОННАЯ ХАРАКТЕРИСТИКА ДАТЧИКА ЛИНЕЙНЫХ ПЕРЕМЕЩЕНИЙ

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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