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Published in: Measurement Techniques 9/2016

01-12-2016 | MEASUREMENTS IN INFORMATION TECHNOLOGIES

Development of a Measurement Complex with Intelligent Component

Authors: M. S. Selezneva, K. A. Neusypin

Published in: Measurement Techniques | Issue 9/2016

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Abstract

A method of constructing a selective measurement complex with variable structure is investigated. A measurement complex with intelligent component consisting of algorithms for the construction of predictive models and the comparison of a prediction with the current result of measurements is developed for precision determination of the parameters of a dynamic object. The algorithmic support of the complex is constructed on the basis of the Anokhin theory of functional systems with the use of a scalar estimation algorithm, self-organization algorithm with trend back-up, and criterion expressed as the degree of observability of the state variables. Models with elevated degrees of observability of the state variables are used in the information processing algorithms.

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Metadata
Title
Development of a Measurement Complex with Intelligent Component
Authors
M. S. Selezneva
K. A. Neusypin
Publication date
01-12-2016
Publisher
Springer US
Published in
Measurement Techniques / Issue 9/2016
Print ISSN: 0543-1972
Electronic ISSN: 1573-8906
DOI
https://doi.org/10.1007/s11018-016-1067-1

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