MULTILEVEL RECURRENT MODEL FOR HIERARCHICAL CONTROL OF COMPLEX REGIONAL SECURITY

A. V. Masloboev, V. A. Putilov, A. V. Sioutine


Read the full article  ';
Article in Russian


Abstract
Subject of research. The research goal and scope are development of methods and software for mathematical and computer modeling of the regional security information support systems as multilevel hierarchical systems. Such systems are characterized by loosely formalization, multiple-aspect of descendent system processes and their interconnectivity, high level dynamics and uncertainty. The research methodology is based on functional-target approach and principles of multilevel hierarchical system theory. The work considers analysis and structural-algorithmic synthesis problem-solving of the multilevel computer-aided systems intended for management and decision-making information support in the field of regional security. Main results. A hierarchical control multilevel model of regional socio-economic system complex security has been developed. The model is based on functional-target approach and provides both formal statement and solving, and practical implementation of the automated information system structure and control algorithms synthesis problems of regional security management optimal in terms of specified criteria. An approach for intralevel and interlevel coordination problem-solving in the multilevel hierarchical systems has been proposed on the basis of model application. The coordination is provided at the expense of interconnection requirements satisfaction between the functioning quality indexes (objective functions), which are optimized by the different elements of multilevel systems. That gives the possibility for sufficient coherence reaching of the local decisions, being made on the different control levels, under decentralized decision-making and external environment high dynamics. Recurrent model application provides security control mathematical models formation of regional socioeconomic systems, functioning under uncertainty. Practical relevance. The model implementation makes it possible to automate synthesis realization of the software executive environment for decision-making information and analytical support in the field of regional security. The model can find further application within mathematical and computer modeling methodology development of the multilevel hierarchical systems for security control of complex systems.

Keywords: mathematical modeling, multilevel hierarchical system, control, coordination, recurrent model, regional security, decision-making support

Acknowledgements. Findings of this investigation are received within the bounds of research works carried out according to research plans of the Institute for Informatics and Mathematical Modeling of Technological Processes of the Kola Science Center of the Russian Academy of Sciences (project №01201452426 "Methods and cognitive technologies for engineering, analysis and application of the virtual systems for complex security management support of the of the Russian Federation Arctic zone development"). The authors express their thanks to their lab colleagues for assistance and participation within the comprehensive discussion of the research results.

References
 1.     Masloboev A.V. Realizatsiya transgranichnykh IT-proektov v sfere informatsionnogo obespecheniya kompleksnoi bezopasnosti razvitiya arkticheskikh regionov: sostoyanie i perspektivy [Transfrontier IT-projects implementation in the field of global security information support of the arctic region development]. Informatsionnye Resursy Rossii, 2014, no. 3 (139), pp. 13–20.
2.     Yamalov I.U. Modelirovanie Protsessov Upravleniya i Prinyatiya Reshenii v Usloviyakh Chrezvychainykh Situatsii [Simulation of the Management and Decision-Making in Emergency Situations]. Moscow, BINOM Laboratoriya Znanii Publ., 2007, 288 p.
3.     Masloboev A.V. Virtual'nye kognitivnye tsentry kak intellektual'nye sistemy dlya informatsionnoi podderzhki upravleniya regional'noi bezopasnost'yu [Virtual cognitive centers as intelligent systems for management information support of regional security]. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2014, no. 2 (90), pp. 167–170.
4.     Zlatanova S., Peters R., Dilo A., Scholten H. Intelligent Systems for Crisis Management. Springer, 2013, 500 p.
5.     Masloboev A.V. Metod kompleksnoi otsenki i analiza global'noi bezopasnosti regional'nykh sotsial'no-ekonomicheskikh sistem na osnove kognitivnogo modelirovaniya [A method for integrated assessment and analysis of regional socio-economic system global security based on cognitive modeling]. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2013, no. 5 (87), pp. 154–164.
6.     Sarbazi-Azad H., Zomaya A.Y. Large Scale Network-Centric Distributed Systems. John Wiley & Sons, 2013, 700 p. doi: 10.1002/9781118640708
7.     Oleynik A., Putilov V. The conceptual modeling for information support of regional management. Applied Information Technology Research. Rovaniemi, Finland, 2007, pp. 9–21.
8.     Ignat'ev M.B., Putilov  V.A., Smol'kov G.Ya. Modeli i Sistemy Upravleniya Kompleksnymi Eksperimental'nymi Issledovaniyami [Models and Systems Management of Complex Experimental Studies]. Moscow, Nauka Publ., 1986, 232 p.
9.     Alekseev V.V., Bogatikov V.N., Palyukh B.V. Prilozheniya Metoda Razdeleniya Sostoyanii k Upravleniyu Tekhnologicheskoi Bezopasnost'yu na Osnove Indeksa Bezopasnosti [Application of the Method of States Separation to Manage Technological Safety Based on Safety Index]. Tver', TGTU Publ., 2009, 398 p.
10.Informatsionnaya Bezopasnost' Sistem Organizatsionnogo Upravleniya. Teoreticheskie Osnovy[Information Security Systems of Organizational Control. Theoretical Basics] / Eds. N.A. Kuznetsov, V.V. Kul'ba. Moscow, Nauka Publ., 2006, vol. 1, 496 p.
11.Burkov V.N., Korgin N.A., Novikov D.A. Vvedenie v Teoriyu Upravleniya Organizatsionnymi Sistemami [Introduction to the Theory of Management of Organizational Systems]. Moscow, Librokom Publ., 2009, 264 p.
12.Larichev O.I., Petrovsky A.B. Decision support systems for illstructured problems: requirements and constraints. Organizational Decision Support Systems. Amsterdam, North-Holland, 1988, pp. 247–257.
13.Kuz'min I.A., Putilov V.A., Fil'chakov V.V. Raspredelennaya Obrabotka Informatsii v Nauchnykh Issledovaniyakh [Distributed Processing in Scientific Research]. Leningrad, Nauka Publ., 1991, 304 p.
14.Mesarovic M.D., Macko D., Takahara Y. Theory of Hierarchical Multilevel Systems. NY-London, Academic Press, 1970, 294 p.
15.Shorikov A.F. Metodologiya modelirovaniya mnogourovnevykh sistem: ierarkhiya i dinamika [Modeling methodology of multilevel systems: hierarchy and dynamics]. Prikladnaya Informatika, 2006, no. 1, pp. 136–141.
16.Mesarovic M.D., Takahara Y. General Systems Theory: Mathematical Foundations. NY, Academic Press, 1975, 279 p.


Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Copyright 2001-2021 ©
Scientific and Technical Journal
of Information Technologies, Mechanics and Optics.
All rights reserved.

Яндекс.Метрика