<abstract xmlns="http://www.w3.org/1999/xhtml"><p>The paper presents the approach of determination of rationality coefficients of control system, inputted uncertainty, control of the process, system errors, and uncertainty. Algorithms for identifying the states of system have been developed on the basis of theorems of identification. They actually implement the theoretical multiplication cross-section and establish that increasing the reliability of information is possible only through the use of redundancy (structural, procedural, and informational). The increase in the reliability of control data with the developed methods ensures significant improvement of the functioning of information systems and facilitates the adoption of more substantiated decision making.</p></abstract>

The paper presents the approach of determination of rationality coefficients of control system, inputted uncertainty, control of the process, system errors, and uncertainty. Algorithms for identifying the states of system have been developed on the basis of theorems of identification. They actually implement the theoretical multiplication cross-section and establish that increasing the reliability of information is possible only through the use of redundancy (structural, procedural, and informational). The increase in the reliability of control data with the developed methods ensures significant improvement of the functioning of information systems and facilitates the adoption of more substantiated decision making.

Ensuring Reliability of Control Data in Engineering Systems

Institute of Energy Saving and Energy Management

Taurida National V.I. Vernadsky University

Stepan Demianchuk International University of Economics and Humanities

Latvian Journal of Physics and Technical Sciences

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

{"article-title":"Ensuring Reliability of Control Data in Engineering Systems"}

The paper presents the approach of determination of rationality coefficients of control system, inputted uncertainty, control of the process, system errors,...

Ensuring Reliability of Control Data in Engineering Systems

Published Online: Dec 31, 2019

Page range: 57 - 69

DOI: https://doi.org/10.2478/lpts-2019-0035

Keywords
control data, engineering system, reliability, theorems of identification, uncertainty

© 2019 A. Dychko et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Ensuring Reliability of Control Data in Engineering Systems

Published Online: Dec 31, 2019

Page range: 57 - 69

DOI: https://doi.org/10.2478/lpts-2019-0035

Keywordscontrol data, engineering system, reliability, theorems of identification, uncertainty

© 2019 A. Dychko et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Keywords
control data, engineering system, reliability, theorems of identification, uncertainty