Abstract. In the current conditions, one of the promising areas of research in the IT-domain is the creation and widespread use of integrated decision support systems for proactive management of complex objects based on the integrated coordinated use of digital twins of these objects describing the process of implementing the stages of their life cycle. According to presented analysis, within the framework of such an approach it is possible to find optimal (reference) parameters, programs, and laws of practical management of the complex object, and it may be guaranteed that their robustness and stability can be checked and ensured using data from the digital twin. To date, a large number of digital objects and processes have been developed for various subject areas. However, the processes of creating and using the digital twins of complex objects are synthesized in most cases on a heuristic basis due to the lack of appropriate scientific foundations. It is shown how, using the system-cybernetic interpretation of the processes of managing the life cycle of the digital twin of complex object, it is possible to form a methodological foundation of the corresponding theory. The methodology and technologies for the creation and use of digital twins of complex objects with respect to distributed complexes of cyber-physical systems are described.

Keywords: cyber-physical systems, digital twins and threads, development and use of digital twins, control of parameters and structures of digital twins

References:

1. Lee E.A. International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing (ISORC), May 6, 2008, Orlando, Fl, USA, 2008, рр. 245–257.
2. What is a digital twin?, https://www.ge.com/digital/applications/digital-twin.
3. Okhtilev M.Yu., Sokolov B.V., Yusupov R.M. Intellektual'nyye informatsionnyye tekhnologii upravleniya strukturnoy dinamikoy slozhnykh tekhnicheskikh ob"yektov (Intelligent Information Technologies for Managing the Structural Dynamics of Complex Technical Objects), Moscow, 2006, 408 р. (in Russ.)
4. Mikoni S.V., Sokolov B.V., Yusupov R.M. Kvalimetriya modeley i polimodel'nykh kompleksov (Qualimetry of Models and Polymodel Complexes), Moscow, 2018, 314 р. (in Russ.)
5. Avduyevskiy B.S. et al., ed., Nadezhnost' i effektivnost' v tekhnike (Reliability and Efficiency in Engineering), Handbook in 10 Volumes, Moscow, 1988, vol. 3. (in Russ.)
6. Correa F.R. 2018 IEEE Industrial Cyber-Physical Systems (ICPS), St. Petersburg, 2018, pp. 392–397.
7. Tomiyama T., Moyen F. CIRP Annals - Manufacturing Technology, 2018, no. 1(67), pp. 161–164.
8. Sokolov B.V., Kovalev A.P., Mustafin N.G., Zakharov V.V., Shcherbakova E.E. Journal of Instrument Engineering, 2021, no. 12(64), pp. 1018–1021. (in Russ.)