Development of a Measurement Complex with Intelligent Component
- Authors: Selezneva M.S.1, Neusypin K.A.1
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Affiliations:
- Bauman Moscow State Technical University
- Issue: Vol 59, No 9 (2016)
- Pages: 916-922
- Section: Measurements in Information Technologies
- URL: https://journals.rcsi.science/0543-1972/article/view/245489
- DOI: https://doi.org/10.1007/s11018-016-1067-1
- ID: 245489
Cite item
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.
About the authors
M. S. Selezneva
Bauman Moscow State Technical University
Author for correspondence.
Email: m.s.selezneva@mail.ru
Russian Federation, Moscow
K. A. Neusypin
Bauman Moscow State Technical University
Email: m.s.selezneva@mail.ru
Russian Federation, Moscow