Algorithm for control and forecasting of the functional stability of complex information-technical systems

DOI: 10.31673/2412-4338.2022.010414

Abstract

The characteristics of the behavior of complex technical systems that realize the property of functional stability of these systems were studied. One of the possible statements of the problems of planning the operation of complex technical systems arising within the functional-parametric direction of risk theory is considered. It is shown that on the basis of the developed algorithms of the minimax assessment of the technical condition using the idea of ellipsoidal assessment, it is possible to implement a guaranteeing strategy for managing the risks of unauthorized influences. The proposed approach allows forecasting even with a small number of parameter measurements, does not require information about the stochastic properties of measurement errors and other obstacles, and has adaptive properties. The conditions for ensuring the functional stability of the technological process are given and practical recommendations for applying these conditions for decision-making in the practical implementation of production processes are described. Ensuring the functional stability of production processes is one of the most important tasks today. Currently, many different methods have been proposed to ensure a high level of functional stability, but this problem requires constant improvement and development of new approaches. In order to improve and develop methods of organizing production processes that ensure the functional stability of technological processes thanks to the implementation of an individual strategy for the operation of technical systems, an approach to the formation of an operation management strategy that ensures the functional stability of the relevant systems is proposed. An individual strategy for planning the operation of technical systems was studied, depending on their actual state, taking into account the features of this specific system. The proposed approach is advisable to use when planning the functionally stable operation of complex technical systems of responsible purpose, the failure of which is associated with significant material losses or catastrophic consequences.

Key words: functional stability, parameter, complex technical system, measurement, condition assessment, forecasting, operation.

References
1. Monakhov Yu., Fayman O. Simulation Model Of Functional Stability Of Business Processes // Int. Journal of Engineering Research and Application, Vol. 3, Issue 6, Nov-Dec 2013, pp. 819-828.
2. Sobchuk A.V., Barabash O.V., Musienko A.P. Assessment methods of functional stability of wireless sensor networks // Scientific journal "Telecommunications and information technologies". Kyiv, DUT, 2019. № 3 (64). P. 46 – 54.
3. Kuchuk N.G., Lukova-Chuiko N.V., Sobchuk V.V. Optimization of bandwidths of communication channels of hyperconvective system // Scientific periodical "Control, navigation and communication systems". Poltava: PNTU, 2019. Issue 3 (55). pp. 120–125.
4. Maksymuk O., Sobchuk V., Salanda I., SachukYu. A system of indicators and criteria for evaluation of the level of functional stability of information heterogenic networks. // Mathematical Modeling and Computing. 2020. Vol. 7, No. 2. pp. 285 – 292.
5. Rozenbaum, F. N., Abramov O. V. Passive control of the operation of measuring instruments / F. N. Rozenbaum, // Measurement Techniques. 2004. Vol. 47, № 3. P. 233–239.
6. Jerry Cha-Jan Chang and William R. Measuring the Performance of Information Systems: A Functional Scorecard // Journal of Management Information Systems. Vol. 22, No. 1 (Summer, 2005), pp. 85-115.
7. Sobchuk V.V., Kuchuk N.G., Gavrylenko S.Yu., Lukova-Chuiko N.V. Redistribution of information flows in a hyperconverged system // Scientific and technical journal "Modern information systems". Kharkiv: NTU "Kharkiv Polytechnic Institute", 2019. Vol. 3, No. 2. pp. 116 – 121.
8. Barabash O., Lukova-Chuiko N., Sobchuk V., Musienko A. Application of petri networks for support of functional stability of information systems / // 2018 IEEE First International Conference on System Analysis & Intelligent Computing (SAIC), p. 1-4.
9. Ghazanfari M., Jafari M., Rouhani S. A tool to evaluate the business intelligence of enterprise systems. // Scientia Iranica. Volume 18, Issue 6, December 2011, Pр. 1579-1590.
10. Sobchuk V.V. The method of creating a single information space at a production enterprise with a functionally stable production process // Scientific periodical "Control, navigation and communication systems". – Poltava: PNTU, 2019. Issue. 6 (58). P. 84 – 91.
11. V.V. Sobchuk, I.V. Zamrii, Y.I. Olimpieva, S.O. Laptev. Functional stability of technological processes based on nonlinear dynamics with the use of neural networks // Modern information systems. 2021. Vol. 5, No2, 49–57.
12. Sobchuk, V., Barabash, O., & Musienko, A. The influence of the method of adaptive self-diagnosis on the process of preventing the consequences of failures of the enterprise's information system modules. // Collection of scientific works of the Military Institute of Taras Shevchenko Kyiv National University, 2021. (70), 77–88.
13. Sobchuk V.V., Barabash O.V., Musienko A.P., Kapustyan O.A. Methods of control and diagnosis of the company's information system based on the principle of adaptive accumulation of diagnostic information - Bulletin of Taras Shevchenko Kyiv National University. Series of physical and mathematical sciences, 2020, №.4, pp. 69-78.
14. Sobchuk V.V., Zamriy I.V., Vlasyk G.V., Zinchenko O.V., Kravets V.I. Functional stability of technological processes and the formation of an individual strategy for managing the operation of production centers. // Telecommunications and information technologies.2021, № 1 (70). P.4-16.
15. Bashlyakov O.M., Pichkur V.V. The task of synthesis in control theory: Study guide. K.: "Stal" publishing house, 2012, 116 p.
16. Pichkur V.V., Kapustyan O.V., Sobchuk V.V. Theory of dynamic systems (study guide). Lutsk: Vezha-druk, 2020, 348 p.