Development of a measuring complex with an intelligent component

Authors: Kuznetsov M.A., Surkova A.D.
Published in issue: #8(61)/2021
DOI: 10.18698/2541-8009-2021-8-722
Category: Informatics, Computer Engineering and Control | Chapter: Automation, Control of Technological Processes, and Industrial Control
Keywords: measuring complex, navigation system, intelligent system, self-organization algorithm, predictive model, criterion of the observability degree, complex processing, selective approach, state vector
Published: 26.08.2021

The authors investigated the method of constructing a measuring complex with a variable structure, the essence of which is to determine the most optimal configuration and adapt the complex to it, which allows to adjust dynamically during operation. Algorithmic support of the complex is formed on the basis of the theory of functional systems by P.K. Anokhin using a scalar estimation algorithm, a self-organization algorithm and a criterion for the observability degree of state variables. Models with increased observability degrees of state variables are used in the algorithms for processing the information of the complex. The intellectual component consists of algorithms for building predictive models and comparing the forecast with the current measurement result.

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