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General Approaches to Dynamic Measurements Error Correction Based on the Sensor Model

Обобщенные способы коррекции динамической погрешности измерений на основе модели датчика
Authors: YURASOVA E.V.; BIZYAEV M.N.; VOLOSNIKOV A.S.;

General Approaches to Dynamic Measurements Error Correction Based on the Sensor Model

Abstract

Юрасова Екатерина Валерьевна, канд. техн. наук, доцент, доцент кафедры информационно- измерительной техники, Южно-Уральский государственный университет, г. Челябинск; iurasovaev@susu.ru. Бизяев Михаил Николаевич, канд. техн. наук, доцент кафедры информационно-измерительной техники, Южно-Уральский государственный университет, г. Челябинск; biziaevmn@ susu.ru. Волосников Андрей Сергеевич, канд. техн. наук, доцент кафедры информационно-измерительной техники, Южно-Уральский государственный университет, г. Челябинск; volosnikovas@susu.ru. E.V. Yurasova, iurasovaev@susu.ru, M.N. Bizyaev, biziaevmn@susu.ru, A.S. Volosnikov, volosnikovas@susu.ru South Ural State University, Chelyabinsk, Russian Federation

Keywords

динамическая модель датчика, нейросетевая модель, скользящий режим, sliding mode control, адаптивное управление, adaptive control, dynamic measurements, динамическая погрешность измерений, dynamic measurements error, динамические измерения, dynamic model of a sensor, теория автоматического управления, automatic control theory, УДК 681.2.088, AUTOMATIC CONTROL THEORY,DYNAMIC MEASUREMENTS,DYNAMIC MEASUREMENTS ERROR,DYNAMIC MODEL OF A SENSOR,ADAPTIVE CONTROL,SLIDING MODE CONTROL,NEURAL NETWORK MODEL,ТЕОРИЯ АВТОМАТИЧЕСКОГО УПРАВЛЕНИЯ,ДИНАМИЧЕСКИЕ ИЗМЕРЕНИЯ,ДИНАМИЧЕСКАЯ ПОГРЕШНОСТЬ ИЗМЕРЕНИЙ,ДИНАМИЧЕСКАЯ МОДЕЛЬ ДАТЧИКА,АДАПТИВНОЕ УПРАВЛЕНИЕ,СКОЛЬЗЯЩИЙ РЕЖИМ,НЕЙРОСЕТЕВАЯ МОДЕЛЬ, neural network model

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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!
6
Average
Average
Average
Green
gold