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Digital Twins of Open Systems

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Cyber-Physical Systems and Control (CPS&C 2019)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 95))

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Abstract

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.

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References

  1. Klimantovich, Y.L.: Introduction to Physics of Open Systems. Janus-K, Moscow (2002)

    Google Scholar 

  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. Kachanova, T., Fomin, B.: Foundations of the Systemology of Phenomena. ETU (“LETI”) Publishing Center, St. Petersburg (1999)

    Google Scholar 

  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. 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. Kachanova, T., Fomin, B.: Technology of System Reconstructions. Politechnika, St. Petersburg (2003)

    Google Scholar 

  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. Kachanova, T., Fomin, B.: Cognition of ontology of open systems. Procedia Comput. Sci. J. 103, 339–346 (2017)

    Article  Google Scholar 

  9. Kachanova, T., Fomin, B.: Introduction to the Language of Systems. Nauka, St. Petersburg (2009)

    Google Scholar 

  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. 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. 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. 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. 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. 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)

    Article  Google Scholar 

  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. 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. Murphy, K.P.: Machine Learning: A Probabilistic Perspective. The MIT Press, Cambridge (2012)

    MATH  Google Scholar 

  19. Forrester, A., Sobester, A., Keane, A.: Engineering Design via Surrogate Modeling. A Practical Guide. Wiley, New York (2008)

    Book  Google Scholar 

  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. Vapnik, V.: The Nature of Statistical Learning Theory. Springer, New-York (2000)

    Book  Google Scholar 

  22. Goodfellow, I., Bengio, Y., Courville, A.: Deep Learning. MIT Press, Cambridge (2016)

    MATH  Google Scholar 

  23. Jensen, F.V., Nielsen, T.D.: Bayesian Networks and Decision Graphs. Springer, New-York (2001)

    Book  Google Scholar 

  24. Pearl, J.: Causality: Models, Reasoning, and Inference. Cambridge University Press, New York (2000)

    MATH  Google Scholar 

  25. Kachanova, T., Turalchuk, K., Fomin, B.: Class reconstruction in the space of natural system classification. Procedia Comput. Sci. 150, 140–146 (2019)

    Article  Google Scholar 

  26. Kachanova, T., Fomin, B.: System ontology of classes. Izvestiya SPbGETU (“LETI”) 7, 25–36 (2015)

    Google Scholar 

  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. Kachanova, T., Fomin, B.: System effects of multifactorial influences in open system. Izvestiya SPbGETU (“LETI”) 1, 28–38 (2017)

    Google Scholar 

  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 

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Author information

Authors and Affiliations

  1. Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russia

    Boris F. Fomin

  2. St. Petersburg Electrotechnical University “LETI”, Saint Petersburg, Russia

    T. L. Kachanova & Oleg B. Fomin

Authors
  1. Boris F. Fomin
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  2. T. L. Kachanova
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  3. Oleg B. Fomin
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Corresponding author

Correspondence to Boris F. Fomin .

Editor information

Editors and Affiliations

  1. Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russia

    Dmitry G. Arseniev

  2. Institute of Transport and Automation Technology, Leibniz Universität Hannover, Garbsen, Niedersachsen, Germany

    Ludger Overmeyer

  3. Machine Vision and Pattern Recognition Laboratory, Lappeenranta University of Technology, Lappeenranta, Finland

    Heikki Kälviäinen

  4. Institute of Production Engineering and Photonic Technologies, Vienna University of Technology, Vienna, Austria

    Branko Katalinić

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Fomin, B.F., Kachanova, T.L., Fomin, O.B. (2020). Digital Twins of Open Systems. In: Arseniev, D., Overmeyer, L., Kälviäinen, H., Katalinić, B. (eds) Cyber-Physical Systems and Control. CPS&C 2019. Lecture Notes in Networks and Systems, vol 95. Springer, Cham. https://doi.org/10.1007/978-3-030-34983-7_29

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  • DOI: https://doi.org/10.1007/978-3-030-34983-7_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-34982-0

  • Online ISBN: 978-3-030-34983-7

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