Control Systems and Computers

DOI: https://doi.org/10.15407/usim.2018.01.028

Upr. sist. maš., 2018, Issue 1 (273), pp. 28-36.

UDC 004.04

Dodonov Alexander G., Doctor of Technical Sciences, Professor, Deputy Director for Research, Institute for Information Recording, National Academy of Sciences of Ukraine, Kiev, 03113, Str. Shpaka, 2. e-mail: dodonov@ipri.kiev.ua

Mukhin Vadim E., Doctor of Technical Sciences, Professor, Professor of the Department of Mathematical Methods of System Analysis of the National Technical University of Ukraine “Kiev Polytechnic Institute named after Igor Sikorsky”, Kiev, 03056, Kiev, Pr. Pobedy, 37, e-mail: v.mukhin@kpi.ua

System of Organizational Control of the Automated Objects with the Increased Vitality

Introduction. The complex objects and systems functioning is provided by an organizational control mechanism, which tasks are not only the process of the object control, but also the support of its vitality. One of the most important aspects of the object organization functioning from the viewpoint of its vitality ensuring is the parameters prediction in order to prevent the cases when the elements will be into potentially dangerous conditions for vitality. To implement such prediction, it is required to perform constant monitoring of the object’s parameters, and to perform an analysis of the object behavior in the context of its parameters changing.

Purpose. Increasing the vitality of the complex automated systems is based on a special system of the organizational control, taking into account the dynamics of the system functionality level.

Methods. The system of organizational control uses the mechanisms of reconfiguration, reconstruction and reorganization in order to ensure the vitality of the system. During the system functioning, the current goals of the object can be changed. In case if, for the certain reasons, the object is in a critical state or its functioning is likely to lead to a critical state, then the goals of the object must be changed. In the changed conditions, the object’s operational goal is to exit from the critical state using all the available resources.

Results. The variant of the mechanism realization of the organizational control system based on the decentralized architecture is presented. The analysis of the vitality parameters is performed, the concepts of the critical functions and the critical states are defined. The issues of the object functioning goals changing, as well as mechanisms for reconfiguring of the object in order to support its vitality are described. The general scheme of an automated system with the support for vitality is given, also is described the scheme on the basis of the background of the system functioning. A functional model for analyzing and increasing the vitality of the system is presented, and the optimization problem of increasing of the vitality time of a complex object or system is formally described.

Conclusion. A mechanism for increasing of the vitality of the complex objects and the systems of organizational control of the complex objects is suggested. It is based on an architecture with distributed control and the history of the system functioning. The formalization of the system functioning mechanism constructed within a functional model in terms of increasing the system vitality is performed. The analysis and the model for increasing the vitality time of the of the optimization problem solution are developed.

Keywords: vitality, control, functioning, functional model.

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1. Dodonov, A.G., Lande, D.V., 2011. Vitality of information systems, Kyiv: Nauk. Dumka, 256 p. (In Russian).
2. KLYACHKO, L.M., OSTRETSOV, G.E., 2010. Designing highly reliable systems for automatic control of ship movement, Moscow: FizMatLit, 136 p. (In Russian).
3. KORYCHYNKO, T.I., 2015. “Application of methods to increase survivability to ensure security in dis-tributed telecommunications systems”. Information and control systems in the railway transport, 2, pp. 52-56. (In Russian).
4. Barabash O.V., Durniak B.V., Mashki O.A. et al., 2012. “Provision of functional stability of com-plex technical systems”. Modeling and Information Technology: Coll. sciences Works, Kiev: Institute of Modeling Problems in the Energy. G. E. Puhov NAS of Ukraine, 64, pp. 36-41. (In Ukrainian).
5. Cherkesov, G.N., Nedosekin, A.O., 2016. “Description of the approach to assessing the survivability of complex structures for multi-time impacts of high accuracy. Part 2”. Reliability, 16 (3), pp. 26-34. (In Russian).
6. Shubinsky, I.B., 2012. Structural reliability of information systems. Methods of analysis, Ulyanovsk: Regional Printing House “Printing Yard”, 216 p. (In Russian).
7. SHNITMAN, V.Z., KUZNETSOV, S.D., 2017. Servers of corporate databases. [online] Available at: < http://citforum.ck.ua/database/skbd/glava_10.shtml> [Accessed 16 Dec. 2017]. (In Russian).
8. MOZHAEVA, I.A., NOZIK, A.A., STRUKOV, A.V., 2015. Current trends in the structural and logical analysis of reliability and cybersecurity of the automated process control system. [online] Available at: <http: // www. szma.com/mabr2_2015.pdf> [Accessed 6 Dec. 2015]. (In Russian).
9. CODETTA-RAITERI, D., 2017. Generalized Fault Trees: from reliability to security. [online] Available at: <http://people.unipmn.it/dcr/papers/ qasa.pdf> [Accessed 28 Oct. 2017].
10. Bobbio, A., Portinale, L., Minichino, M. et al., 2001. “Improving the analysis of dependable systems by mapping fault trees into Bayesian networks”. Reliability Engineering and System Safety, 71, pp. 249–260. https://doi.org/10.1016/S0951-8320(00)00077-6
11. Kirilin, A.N., Akhmetov, R.N., Sologub, A.V. et al., 2010. Methods for ensuring the living of the low-Earth orbit automatic earthing sensing satellite. Moscow: Mashinostroenie, 66 p. (In Russian).
12. Volokita, A.M., Mukhin, V.E., Steshin, V.V., 2011. “The specifics of the information system based on cloud comlaying technology”. Visn Chernigov. Technological University, 4 (53), pp. 176-184. (In Ukrainian).
13. Distributed Computer System Resources Control Mechanism Based on Network-Centric Approach, 2017. Int. J. of Intelligent Systems and Applications (IJISA), DOI: 10.5815/ijisa.2017.07.05, 2017, 9, 7, pp. 41–51. https://doi.org/10.5815/ijisa.2017.07.05
14. TROFYMCHUK, A.N., VASYANIN, V.A., 2016. “A Computer Simulation of the Hierarchical Structure Communication Network with the Discrete Multicommodity Flows”, Upr. sist. maš., 2, pp. 48–57. (In Russian).
15. KOMAR, N.N., 2017. “The Concept of the Aircraft Fault-Tolerant Control Improvement”, Upr. sist. maš., n 5 (271), pp.75–85. (In Russian).
16. Stallings, WILLIAM, 2011. Operating Systems – Internals and Design Principles, 7th Edition, Prentice Hall, 816 p, ISBN 013230998X.
17. CHERKESOV, G.N., NEDOSEKIN, A.O., 2017. Evaluation of the survivability of complex structures with multiple exposure to high accuracy. Part 1. Description of the approach. [online] Available at: <http://www.ifel.ru/surv/Res_3.pdf> [Accessed 28 Oct. 2017]. (In Russian).
18. GRISHCHENKO, I.V., 2013. “The method of increasing the survivability of the infocommunication network”. Refrigeration technology and technology, 6 (146), pp. 66-70. (In Russian).
19. KOSTENKO, V.A., 2017. Principles of constructing genetic algorithms and their use for solving optimization problems. [online] Available at: <http: //lvk.cs.msu/index.php/articles/156> [Accessed 28 Oct. 2017]. (In Russian).

Received 28.12.2017