Digital Twins of Open Systems

  • Boris F. FominEmail author
  • T. L. Kachanova
  • Oleg B. Fomin
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 95)


This report is devoted to a new area of physics of open systems. In this area, methods and technologies were created to provide cognition, scientific understanding and rational explanation of states and properties inherent in open systems. In doing so, these systems can be represented by hundreds, thousands, and tens of thousands of variables. On this basis, a multidimensional knowledge-centric analytics of open systems considered at their natural scale and real complexity has appeared. Presently, the formation of a new cyber-physical paradigm of systems research and development goes on. The report includes a review of possibilities for applying this paradigm to automatic generation of digital twins of open systems in complex subject matter areas.


Open systems Physics of open systems Systems’ eigen qualities Systems states Reconstructions of systems’ states Digital twins 


  1. 1.
    Klimantovich, Y.L.: Introduction to Physics of Open Systems. Janus-K, Moscow (2002)Google Scholar
  2. 2.
    Klimantovich, Y.L.: Statistical Theory of Open Systems, Volume 1: A Unified Approach to Kinetic Description of Processes in Active Systems. Kluwer Academic Publishers, Dordrecht (1995)Google Scholar
  3. 3.
    Kachanova, T., Fomin, B.: Foundations of the Systemology of Phenomena. ETU (“LETI”) Publishing Center, St. Petersburg (1999)Google Scholar
  4. 4.
    Kachanova, T., Fomin, B.: Physics of systems as a postcybernetic paradigm of systemology. In: International Symposium “Science 2.0 and Expansion of Science: S2ES” in the context of the 14th World-Multi-Conference “Systemics, Cybernetics and Informatics” (WMSCI 2010), Orlando, FL, USA, pp. 244–249 (2010)Google Scholar
  5. 5.
    Kachanova, T., Fomin, B., Fomin, O.: Generating scientifically proven knowledge about ontology of open systems. multidimensional knowledge-centric system analytics. In: Ciza, T. (ed.) Ontology in Information Science, InTech, Rijeka, Croatia, pp. 169–204 (2018)Google Scholar
  6. 6.
    Kachanova, T., Fomin, B.: Technology of System Reconstructions. Politechnika, St. Petersburg (2003)Google Scholar
  7. 7.
    Kachanova, T., Fomin, B.: Physics of open systems: generation of system knowledge. J. Syst. Cybern. Inform. 11(2), 73–82 (2013)Google Scholar
  8. 8.
    Kachanova, T., Fomin, B.: Cognition of ontology of open systems. Procedia Comput. Sci. J. 103, 339–346 (2017)CrossRefGoogle Scholar
  9. 9.
    Kachanova, T., Fomin, B.: Introduction to the Language of Systems. Nauka, St. Petersburg (2009)Google Scholar
  10. 10.
    Fomin, B.F., Kachanova, T.L., Turalchuk, K.A., Fomin, O.B.: Scientific understanding of ontological knowledge about open systems that is automatically mined from big data. In: 2018 IEEE Conference on Data Science: Challenges of Digital Transformation (2018 IEEE DSDT), IEEE Russia North West Section, 15 June 2018, Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia (2018)Google Scholar
  11. 11.
    Kachanova, T., Fomin, B.: The Methods and Technologies for Generating a Systemic Knowledge: A Manual for Masters and Postgraduate Students. ETU (“LETI”) Publishing Center, St. Petersburg (2012)Google Scholar
  12. 12.
    Kachanova, T., Fomin, B.: Qualitology of System Knowledge: A Manual for Masters and Postgraduate Students. ETU (“LETI”) Publishing Center, St. Petersburg (2014)Google Scholar
  13. 13.
    Fomin, B., Kachanova, T., Khodachenko, M., et al.: Global system reconstructions of the models of solar activity and related geospheric and biospheric effects. In: Favata, F., Sanz-Forcada, J., Gimenez, A. (eds.) Proceedings of 39th ESLAB Symposium “Trends in Space Science and Cosmic Vision 2020”, pp. 73–82, Noordwijk, the Netherlands (2006)Google Scholar
  14. 14.
    Ageev, V., Fomin, B., Fomin, O., Kachanova, T., Chen, C., Spassova, M., Kopylev, L.: Physics of open systems: a new approach to use genomics data in risk assessment. In: Tyshenko, M. (ed.) The Continuum of Health Risk Assessments, InTech, pp. 135–160 (2012)Google Scholar
  15. 15.
    Ageev, V., Fomin, B., Fomin, O., et al.: Physics of open systems: effects of the impact of chemical stressors on differential gene expression. J. Cybern. Syst. Anal. 50(2), 218–227 (2014)CrossRefGoogle Scholar
  16. 16.
    Ageev, V., Araslanov, A., Kachanova, T., Turalchuk, K., Fomin, B., Fomin, O.: Generation of system knowledge on the problems of social tension in Russia’s regions. Sci. Tech. Sheets SPbSPU 2–1(147), 300–308 (2012)Google Scholar
  17. 17.
    Ageev, V., Kachanova, T., Fomin, B., Fomin, O.: Analytical preparation for reengineering of manufacturing the metal products on the basis of system knowledge. Sci. Tech. Sheets SPbSPU 4(159), 141–155 (2012)Google Scholar
  18. 18.
    Murphy, K.P.: Machine Learning: A Probabilistic Perspective. The MIT Press, Cambridge (2012)zbMATHGoogle Scholar
  19. 19.
    Forrester, A., Sobester, A., Keane, A.: Engineering Design via Surrogate Modeling. A Practical Guide. Wiley, New York (2008)CrossRefGoogle Scholar
  20. 20.
    Bernstein, A.V., Kuleshov, A.P.: Mathematical methods of metamodeling. In: Works of 3rd International Conference “System Analysis and Information Technologies”, Zvenigorod, Russia, pp. 756–768 (2009)Google Scholar
  21. 21.
    Vapnik, V.: The Nature of Statistical Learning Theory. Springer, New-York (2000)CrossRefGoogle Scholar
  22. 22.
    Goodfellow, I., Bengio, Y., Courville, A.: Deep Learning. MIT Press, Cambridge (2016)zbMATHGoogle Scholar
  23. 23.
    Jensen, F.V., Nielsen, T.D.: Bayesian Networks and Decision Graphs. Springer, New-York (2001)CrossRefGoogle Scholar
  24. 24.
    Pearl, J.: Causality: Models, Reasoning, and Inference. Cambridge University Press, New York (2000)zbMATHGoogle Scholar
  25. 25.
    Kachanova, T., Turalchuk, K., Fomin, B.: Class reconstruction in the space of natural system classification. Procedia Comput. Sci. 150, 140–146 (2019)CrossRefGoogle Scholar
  26. 26.
    Kachanova, T., Fomin, B.: System ontology of classes. Izvestiya SPbGETU (“LETI”) 7, 25–36 (2015)Google Scholar
  27. 27.
    Kachanova, T., Fomin, B., Turalchuk, K., Ageev, V.: Natural classification of acute poisoning with organophosphorus substances. Izvestiya SPbGETU (“LETI”) 8, 8–17 (2015)Google Scholar
  28. 28.
    Kachanova, T., Fomin, B.: System effects of multifactorial influences in open system. Izvestiya SPbGETU (“LETI”) 1, 28–38 (2017)Google Scholar
  29. 29.
    Kachanova, T., Fomin, B.: Applying the method of determining typology of system effects of multifactorial influences. Izvestiya SPbGETU (“LETI”) 2, 19–29 (2017)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Boris F. Fomin
    • 1
    Email author
  • T. L. Kachanova
    • 2
  • Oleg B. Fomin
    • 2
  1. 1.Peter the Great St. Petersburg Polytechnic UniversitySaint PetersburgRussia
  2. 2.St. Petersburg Electrotechnical University “LETI”Saint PetersburgRussia

Personalised recommendations