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Volume 14, Issue 3 (2022)
Iran J War Public Health 2022, 14(3): 271-278 |
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Received: 2022/03/25 | Accepted: 2022/05/27 | Published: 2022/07/28
Received: 2022/03/25 | Accepted: 2022/05/27 | Published: 2022/07/28
How to cite this article
Semenenko O, Kirsanov S, Mashkin O, Pravdyvets O, Petrozhalko V. Mathematic Model of the Troop Management Cycle based on a Continuous Markov Chain for an Automated Control System. Iran J War Public Health 2022; 14 (3) : 4
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1- Research Department of Economic Analysis of Development Activities of the Armed Forces of Ukraine, Central Research Institute of the Armed Forces of Ukraine, Kyiv, Ukraine
2- Research Center for Investigation of Armed Forces Command and Control Problems, Central Research Institute of the Armed Forces of Ukraine, Kyiv, Ukraine
3- Research Department for Modeling the Development of the Armed Forces, Central Research Institute of the Armed Forces of Ukraine, Kyiv, Ukraine
4- Directorate of Digital Transformation and Information Security Policy in the Sphere of Defense, Ministry of Defense of Ukraine, Kyiv, Ukraine
2- Research Center for Investigation of Armed Forces Command and Control Problems, Central Research Institute of the Armed Forces of Ukraine, Kyiv, Ukraine
3- Research Department for Modeling the Development of the Armed Forces, Central Research Institute of the Armed Forces of Ukraine, Kyiv, Ukraine
4- Directorate of Digital Transformation and Information Security Policy in the Sphere of Defense, Ministry of Defense of Ukraine, Kyiv, Ukraine
Abstract (782 Views)
Aims: The purpose of the article is to develop a mathematical model of the army management cycle based on a continuous Markov chain to justify the requirements for the efficiency of the control bodies (CB) of a promising automated control system.
Materials & Methods: The basis of this methodological apparatus is the following methods: expert assessment, analogies, empirical methods used during testing of individual software and technical solutions of automated control systems, which are created in the Armed Forces of Ukraine.
Findings: Authors developed a mathematical model of the troop management cycle based on a continuous Markov chain to justify the requirements for the efficiency of the operation of a promising automated control system. A special feature of this model, which determines its novelty, is the use of the theory of Markov Processes with discrete states and continuous time for mathematical modeling of the CB operation cycle in a control system of any level of subordination of troops. This made it possible, unlike other methods, to establish a relationship between the amount of information that circulates in the troop management cycle during the operation of the CB, and the time that is spent on this at each of its stages.
Conclusion: The obtained scientific results made it possible to justify the time (to put forward a requirement for the efficiency of the CB) that is needed to perform certain measures of the CB of a promising automated control system to achieve the goal of the operation.
Materials & Methods: The basis of this methodological apparatus is the following methods: expert assessment, analogies, empirical methods used during testing of individual software and technical solutions of automated control systems, which are created in the Armed Forces of Ukraine.
Findings: Authors developed a mathematical model of the troop management cycle based on a continuous Markov chain to justify the requirements for the efficiency of the operation of a promising automated control system. A special feature of this model, which determines its novelty, is the use of the theory of Markov Processes with discrete states and continuous time for mathematical modeling of the CB operation cycle in a control system of any level of subordination of troops. This made it possible, unlike other methods, to establish a relationship between the amount of information that circulates in the troop management cycle during the operation of the CB, and the time that is spent on this at each of its stages.
Conclusion: The obtained scientific results made it possible to justify the time (to put forward a requirement for the efficiency of the CB) that is needed to perform certain measures of the CB of a promising automated control system to achieve the goal of the operation.
Article number: 4
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References
1. Decree of the President of Ukraine. Strategic defense bulletin of Ukraine [Internet]. Kyiv: Verkhovna Rada of Ukraine; 2016 [Cited 2022 Mar 12]. Available from: https://zakon.rada.gov.ua/laws/show/240/2016#Text. [Ukrainian] [Link]
2. Decision of the National Security and Defense Council of Ukraine. No. n0009525-17 "About the concept of reforming and further development of the system of government in a state of emergency and in a special period" [Internet]. Kyiv: Verkhovna Rada of Ukraine; 2017 [Cited 2022 Mar 3]. Available from: https://zakon.rada.gov.ua/laws/show/n0009525-17#Text. [Ukrainian] [Link]
3. Ministry of Defence. State program for the development of the armed forces of Ukraine. Kyiv: Ministry of Defence; 2020. [Ukrainian] [Link]
4. Djuyandi Y, Casnoto H, Hidayat W. Military operations other than war (Mootw): Synergy of indonesian national armed forces (TNI) and national disaster management agency (BNPB) in disaster management. Human Soc Sci Rev. 2019;7(4):111-21. [Link] [DOI:10.18510/hssr.2019.7416]
5. Kirsanov SO, Ostrovsky SM. Methodical approach to assessing the level of automation of government agencies. Mod Inf Tech Sphere Secur Def. 2018;3(33):77-80. [Ukrainian] [Link]
6. Djuyandi Y. Social communications of regional command unit of Indonesian National Army (TNI AD) to strengthens the regional resilience in Pematangsiantar. J Soc Res Pol. 2017;8(1):5-11. [Link]
7. Kulish AN, Harust YV, Reznik ON, Utkina MS. Implementation and administrative framework of the inclusive education in the context of the European integration process. J Advan Res Law Econ. 2016;7(6):1405-17. [Link]
8. Auanassova AM, Nurpeisov EK, Auanassova KM, Karasayev GM, Zhumagulov BS. Soviet power and hidden policy of neocolonialism and totalitarianism. Astra Salven. 2018;6(1):223-37. [Link]
9. Djuyandi Y, Putra MK, Faozan H. Political communication between the house of representatives and the ministry of defense in discussing the republic of Indonesia state defense policy. Cent Eur J Int Secur Stud. 2018;12(4):82-95.discussing-the-republic-of-indonesia-state-defense-policy [Link]
10. Djuyandi Y, Bainus A, Sumadinata WS. Synergy between regional command unit of Indonesian National Army (Tni Ad) and Local Government in encouraging the spirit of state defense. Centr Eur J Int Secur Stud. 2018;12(4):127-43. [Link]
11. Auanassova A, Auanassova K, Zhumagulov B, Karasayev G. The Alash party on the Kazakh statehood. Astra Salven. 2018;6(1):129-36. [Link]
12. Mustafin A, Kantarbayeva A. Resource competition and technological diversity. PLoS ONE. 2021;16(11):e0259875. [Link] [DOI:10.1371/journal.pone.0259875]
13. Tang JG, Mukhambetzhanov S, Nulahemaiti B, Baishemirov Z. Method of an evaluation of formation exposing with preliminary data. Life Sci J. 2014;11(10s):321-6. [Link]
14. Mustafin A, Kantarbayeva A. A catalytic model of service as applied to the case of a cyclic queue. Priklad Nelin Dinam. 2019;27(5):53-71. [Russian] [Link]
15. Mukhambetzhanov ST, Baishemirov ZD. Procedure of evaluation development for drilling-in and well completion. World Appl Sci J. 2013;24(2):168-74. [Link]
16. Jomartova S, Mazakov T, Mukhaev D, Mazakova A, Tolegen G. Intelligent system for assessing the socio-economic situation in the region. Commun Comp Inf Sci. 2021;1463:437-47. [Link] [DOI:10.1007/978-3-030-88113-9_35]
17. Korzhyk V, Khaskin V, Voitenko O, Sydorets V, Dolianovskaia O. Welding technology in additive manufacturing processes of 3D objects. Mater Sci Forum. 2017;906:121-30. [Link] [DOI:10.4028/www.scientific.net/MSF.906.121]
18. Luo M, Zhu L. Research on real-time and reliability of wireless transmission of high-speed train control data based on data mining technology. J Phys Conf Ser. 2021;1952:042093. [Link] [DOI:10.1088/1742-6596/1952/4/042093]
19. Bai T. How to defend a small state?-HAN Fei Zi, Plato, and Mencius. Dao. 2021;20:231-44. [Link] [DOI:10.1007/s11712-021-09774-z]
20. Moniri K. A comparative study of the pattern of human resource forces defending the country through the transformation military service to the professional army. Int Q Geopolit. 2022;18(65):254-96. [Persian] [Link]
21. Squassoni S. Deterrence and arms control: An interview with robert gallucci. J Peace Nucl Disarmament. 2021;4(2):321-9. [Link] [DOI:10.1080/25751654.2021.2015920]
22. Raska M. The sixth RMA wave: disruption in military affairs?. J Strat Stud. 2021;44(4):456-79. [Link] [DOI:10.1080/01402390.2020.1848818]
23. Giordano NA, Kane A, Jannace KC, Rojas W, Lindl MJ, Lujan E, et al. Discrete and dynamic postoperative pain catastrophizing trajectories across 6 months: a prospective observational study. Arch Phys Med Rehab. 2020;101(10):1754-62. [Link] [DOI:10.1016/j.apmr.2020.04.023]
24. Liao K. The future war studies community and the Chinese revolution in military affairs. Int Affair. 2020;96(5):1327-46. [Link] [DOI:10.1093/ia/iiaa098]
25. Baciu C, Friede AM. The EU's CFSP/CSDP in 2030: towards an alternative vision of power?. N Perspect. 2020;28(3):398-412. [Link] [DOI:10.1177/2336825X20935245]