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Cyber-Physical Systems: Advances in Design & Modelling pp 69–80Cite as

Conceptual Approach to Designing Efficient Cyber-Physical Systems in the Presence of Uncertainty

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Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 259))

Abstract

Cyber-physical systems are one of the most advanced areas of research technology. However, being distributed systems with a large number of interconnected elements, they often pose a challenge for their designers concerning intra-network control and interaction. The chapter suggests a way to present a cyber-physical system as a multicommodity network model that demonstrates the dual character of connections between the elements of the system. The efficiency of such systems is studied regarding their ability to fulfill the requirements of their elements in the presence of uncertainty. Using the concept of the difficulty of achieving the goal, the authors developed an algorithm for analyzing the efficiency of the multicommodity network. The algorithm can be used to assess the efficiency of the system functioning in different conditions with different parameters. The suggested tools help to determine the most efficient version of the system, which can eventually broaden the scope of application domains of such systems.

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References

  1. Rad, C.-R., Hancu, O., Takacs, I.-A., Olteanu, G.: Smart monitoring of potato crop: a cyber-physical system architecture model in the field of precision agriculture. In: Conference Agriculture for Life, Life for Agriculture, no. 6, pp. 73–79 (2015)

    Article  Google Scholar 

  2. Wolf, W.: Cyber-physical systems. Computer 42(3), 88–89 (2009)

    Article  Google Scholar 

  3. Lee, J., Bagheri, B., Kao, H.: A cyber-physical systems architecture for Industry 4.0-based manufacturing systems. Manuf. Lett. 3, 18–23 (2015). https://doi.org/10.1016/j.mfglet.2014.12.001

    Article  Google Scholar 

  4. Lee, E.A., Seshia, S.A.: Introduction to embedded systems—a cyber-physical systems approach. LeeSeshia.org (2011)

    Google Scholar 

  5. Tarassov, V.B.: Enterprise total agentification as a way to Industry 4.0: forming artificial societies via goal-resource networks. In: Abraham, A., Kovalev, S., Tarassov, V., Snasel, V., Sukhanov, A. (eds.) Proceedings of the Third International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’18). IITI’18 2018. Advances in Intelligent Systems and Computing, vol. 874. Springer, Cham (2019). http://dx.doi.org/10.1007/978-3-030-01818-4_3

  6. Khaitan, S.K., et al.: Design techniques and applications of cyber-physical systems: a survey. IEEE Syst. J. 9(2), 350–365 (2014)

    Article  Google Scholar 

  7. Xia, F., et al.: Internet of things. Int. J. Commun. Syst. 25(9), 1101 (2012)

    Article  Google Scholar 

  8. Namiot, D.: On big data stream processing. Int. J. Open Inf. Technol. 4.3(9.8), 48–51 (2015)

    Google Scholar 

  9. Lee, J., Bagheri, B., Kao, H.: Recent advances and trends of cyber-physical systems and big data analytics in industrial informatics. In: IEEE International Conference on Industrial Informatics (INDIN) (2014)

    Google Scholar 

  10. Tsvetkov, V.Ya.: Control with the use of cyber-physical systems. Int. Sci. Electron. J. (3), 55–60 (2017). ISSN 2307-2334

    Google Scholar 

  11. Malashenko, Yu.E., Novikova, N.M.: Models of Uncertainty in Multi-User Networks, p. 1999. Editorial URSS Publishing, Moscow (1999)

    Google Scholar 

  12. Malashenko, Yu.E.: About solving a multi-product problem with integer flows. J. Comput. Math. Math. Phys. 22(3), 732–735 (2018)

    Google Scholar 

  13. Alekseev, A.P.: Vulnerability analysis of a multicomponent system as multicommodity network. Eur. Multisci. J. (Monthly international science journal) (9), 51–54 (2017)

    Google Scholar 

  14. Babunashvili, M.K., Bermant, M.A., Russman, I.B.: Analysis Methods for Graph of Targets. Research Planning and Information Support, Moscow (1972)

    Google Scholar 

  15. Kaplinskiy, A.I., Russman, I.B., Umyvakin, V.M.: Modeling and Algorithmization of Poorly Formalized Tasks of Choosing the Best System Options. VSU Publishing, Voronezh (1991)

    Google Scholar 

  16. Russman, I.B.: Complex system assessment and subsystem assessment. News USSR Acad. Sci. 2, 201–204 (1978)

    MATH  Google Scholar 

  17. Russman, I.B.: Integral Quality Assessments in Organizational Systems. Structural Adaptation of Complex Control Systems. VPI Publishing, Voronezh (1977)

    Google Scholar 

  18. Alekseev, A.P., Abramov, G.V., Bulgakova, I.N.: Integral assessment of product quality as the difficulty of achieving the goal. J. Energy XXI Century (2), 79–86 (2017)

    Google Scholar 

  19. Alekseev, A.P., Abramov, G.V., Bulgakova, I.N.: The problem of reliability analysis of multicomponent network systems under external disturbances. In: Applied Mathematics, Computational Science and Mechanics: Current Problems: Collection of the Works of International Science Conference. Voronezh, pp. 1557–1564 (2017)

    Google Scholar 

  20. Wolf, W.: The good news and the bad news (embedded computing column). IEEE Comput. 40(11), 104–105 (2007). https://doi.org/10.1109/MC.2007.404

    Article  Google Scholar 

  21. Suh, S.C., Carbone, J.N., Eroglu, A.E.: Applied Cyber-Physical Systems. Springer, Berlin (2014)

    Google Scholar 

  22. Fitzgerald, J., Larsen, P.G., Verhoef, M.: Collaborative Design for Embedded Systems: Co-modelling and Cosimulation. Springer, Berlin (2014). ISBN 978-3-642-54118-6

    Google Scholar 

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Authors and Affiliations

  1. Voronezh State University, Universitetskaya Ploshchad, 1, Voronezh, 394018, Russia

    A. P. Alekseev

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  1. A. P. Alekseev
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Correspondence to A. P. Alekseev .

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Editors and Affiliations

  1. Volgograd State Technical University, Volgograd, Russia

    Alla G. Kravets

  2. Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia

    Alexander A. Bolshakov

  3. Volgograd State Technical University, Volgograd, Russia

    Maxim V. Shcherbakov

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Alekseev, A.P. (2020). Conceptual Approach to Designing Efficient Cyber-Physical Systems in the Presence of Uncertainty. In: Kravets, A., Bolshakov, A., Shcherbakov, M. (eds) Cyber-Physical Systems: Advances in Design & Modelling. Studies in Systems, Decision and Control, vol 259. Springer, Cham. https://doi.org/10.1007/978-3-030-32579-4_6

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  • DOI: https://doi.org/10.1007/978-3-030-32579-4_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-32578-7

  • Online ISBN: 978-3-030-32579-4

  • eBook Packages: EngineeringEngineering (R0)

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