Features of qualimetric analysis of polymodel complexes with variable topology in the study of complex technical systems | Vestnik Tomskogo gosudarstvennogo universiteta. Upravlenie, vychislitelnaja tehnika i informatika – Tomsk State University Journal of Control and Computer Science. 2021. № 56. DOI: 10.17223/19988605/56/6

Features of qualimetric analysis of polymodel complexes with variable topology in the study of complex technical systems

An approach to assessing the quality of models in polymodel complexes based on topological typing is proposed, which forms the vector space of the statistical image of multi-modeling and numerical verification measures from the point of view of the stability of statistics. The scheme of the frame of the decision support system for the dynamic typing of the topology of polymodel complexes is given, which makes it possible to increase the efficiency of decisions made to assess the quality of modeling of complex technical systems.

Download file
Counter downloads: 43

Keywords

polymodeling, statistical stability, quasi-homogeneous model, statistical volatility, vector space, Markov chain, accuracy, transition probability, number of process implementations, statistical image

Authors

NameOrganizationE-mail
Doronina Yulia V.Sevastopol State Universityapksev@yandex.ru
Skatkov Alexander V.Sevastopol State Universityvm1945@mail.ru
Всего: 2

References

Okhtilev M.Yu., Gnidenko A.S., Alferov V.V., Salukhov V.I., Nazarov D.I. Methods and Algorithms of Integrated Modeling of Complex Technical Objects in Dynamically Changing Conditions // Proceedings of the International Scientific Conference MMET NW. 2018. P. 282-284.
Panella I., Hardwick G. Model Oriented System Design Applied to Commercial Aircraft Secondary Flight Control Systems // Simulation and Modeling Methodologies, Technologies and Applications. SIMULTECH 2017. Advances in Intelligent Systems and Computing / M. Obaidat, T. Oren, F. Rango (eds.) Springer, Cham., 2019. V. 873. P. 55-76.
Доронина Ю.В., Скатков А.В. Каскадно-иерархическое моделирование в задачах анализа динамики ресурсных характеристик сложных систем // Информационно-управляющие системы. 2020. № 3. С. 48-58. DOI: 10.31799/1684-8853-2020-3-48-58
Микони С.В., Соколов Б.В., Юсупов Р.М. Квалиметрия моделей и полимодельных комплексов. М. : РАН, 2018. 314 с.
Андрианов Ю.М., Суббето А.И. Квалиметрия в приборостроении. Л. : Машиностроение, 1990. 216 с.
Доронина Ю.В., Скатков А.В. Анализ статистической устойчивости стационарных Марковских моделей // Труды СПИИРАН. 2019. Т. 18, № 5. С. 1119-1148. DOI: 10.15622/sp.2019.18.5.1119-1148
Gorban I.I. The Statistical Stability Phenomenon. Springer, 2017. 361 p.
Кондрашков А.В., Пичугин Ю.А. Идентификация и статистическая проверка устойчивости модели Вольтерры // Научно технические ведомости СПбГПУ. Физико-математические науки. 2014. № 1 (189). URL: https://cyberleninka.ru/article/n/identifikatsiya-i-statisticheskaya-proverka-ustoychivosti-modeli-volterry (дата обращения: 21.03.2019).
Laaksonen O., Peltoniemi M. The essence of dynamic capabilities and their measurement // International Journal of Management Reviews. British Academy of Management. 2018. V. 20 (2). P. 184-205.
Chen N., Majda A.J. Conditional gaussian systems for multiscale nonlinear stochastic systems: prediction, state estimation and uncertainty quantification // Entropy. 2018. V. 20, № 7. P. 1-80.
Dolgui A., Ivanov D., Sokolov B. Scheduling of recovery action in supply chain with resilience analysis consideration // International Journal of Production Research. 2018. V. 56, № 19. P. 6473-6490. URL: http://www.tandfonline.com/loi/tprs20 (дата обращения: 21.03.2019).
Langville A., Meyer C. Updating Markov chains with an eye on Google’s PageRank // SIAM J. on Matrix Analysis and Applications. 2006. V. 27 (4). P. 968-987.
Degiannakis S., Floros C. Methods of Volatility Estimation and Forecasting // Modelling and Forecasting High Frequency Financial Data. London : Palgrave Macmillan, 2015. P. 58-109.
 Features of qualimetric analysis of polymodel complexes with variable topology in the study of complex technical systems | Vestnik Tomskogo gosudarstvennogo universiteta. Upravlenie, vychislitelnaja tehnika i informatika – Tomsk State University Journal of Control and Computer Science. 2021. № 56. DOI: 10.17223/19988605/56/6

Features of qualimetric analysis of polymodel complexes with variable topology in the study of complex technical systems | Vestnik Tomskogo gosudarstvennogo universiteta. Upravlenie, vychislitelnaja tehnika i informatika – Tomsk State University Journal of Control and Computer Science. 2021. № 56. DOI: 10.17223/19988605/56/6

Download full-text version
Counter downloads: 200