DOI: https://doi.org/10.15587/1729-4061.2016.79356

Principles of cybernetic systems interaction, their definition and classification

Ihor Lutsenko

Abstract


The class of cybernetic (dynamic) systems is defined. It is established that in the course of functioning each cybernetic system provides performance of one basic technological function. It is also established that the processes of optimizing adaptation, for systems of a converting type, can be realized only if each such system interacts with the buffering systems presented in an explicit form.

The functions combination of converting mechanism and buffering mechanism for the purpose to minimize the system equipment production costs, leads to the connected condition of converting type systems. In this case, control change of one system leads to the coordinated controls change need for all system links of a technological graph.

It is established that the channel of information exchange of simple buffering systems, within the dual dividing system, is the buffering mechanism. Information exchange between simple systems is provided by control of each stock rate simple buffering system.

Approach to design of dual buffering systems with separate control complexes will allow to provide the increased systems survivability and will simplify diagnostics of their malfunctions.

It is also established that in an interacting systems graph it is possible to allocate the object formations presented by simple systems of two types which are defined in the work as autonomous systems. The feature of such autonomous processes systems is their independence from processes that happen in other autonomous systems. Such feature provides a possibility of parallel processes implementation of optimizing adaptation.

The cybernetic systems basic classification has been developed on the basis of conducted researches.

The main conclusions presented in the work have been received as a result of a pilot study of systems interaction processes. The received results can be used by practicians for design and control, and also by researchers, in the course of creation of technologies of management of new generation.


Keywords


system; cybernetic system; dynamic system; converting system; buffering system

References


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Litvin, S. S., Guerassimov, V. M. (1991). Development of alternative technical systems. Design Studies, 12 (4), 225–226. doi: 10.1016/0142-694x(91)90036-v

Ibrahim, M. H. (2016). Business cycle and bank lending procyclicality in a dual banking system. Economic Modelling, 55, 127–134. doi: 10.1016/j.econmod.2016.01.013

Wang, F., Yang, M., Yang, R. (2008). Simulation of Multi-Agent based Cybernetic Transportation System. Simulation Modelling Practice and Theory, 16 (10), 1606–1614. doi: 0.1016/j.simpat.2008.08.008

Lutsenko, I. (2014). Systems engineering of optimal control. Synthesis of the structure of the technological products conversion system (Part 1). Eastern-European Journal of Enterprise Technologies, 6 (2(72)), 29–37. doi: 10.15587/1729-4061.2014.28724

Lutsenko, I. (2015). Optimal control of systems engineering. development of a general structure of the technological conversion subsystem (Part 2). Eastern-European Journal of Enterprise Technologies, 1 (2(73)), 43–50. doi: 10.15587/1729-4061.2015.36246

Lutsenko, I., Fomovskaya, E., Serdiuk, O. (2016). Development of executive system architecture of the converting class. Eastern-European Journal of Enterprise Technologies, 4 (2(82)), 50–58. doi: 10.15587/1729-4061.2016.74873

Lutsenko, I. (2015) Synthesis of cybernetic structure of optimal spooler. Metallurgical and Mining Industry, 9, 297–301.

Model 001.xls. Yandeks Disk. Available at: https://yadi.sk/d/hwo6fkgUuyPQ5


GOST Style Citations


Aleksandrov, A. Spravochnik po teorii avtomaticheskogo upravleniya [Text] / A. Aleksandrov, V. Artemev, V. Afanasev; A. A. Krasovskyi (Ed.). – Moscow: Nauka, 1987. – 712 p.

Chernyishov, V. Teoriya sistem i sistem i sistemnyiy analiz [Text] / V. Chernyishov, A. Chernyishov. – TGTU, 2008. – 96 p.

Rukin, A. N. Modeli elementov slozhnoy sistemyi [Text] / A. N. Rukin // Simvol nauki. – 2015. – Vol. 8. – P. 57–58.

Gladyisheva, A., Gorbunova, O. (). Vzaimodeystvie informatsionnoy sistemyi upravleniya i predpriyatiya [Text] / A. Gladyisheva, O. Gorbunova // Sotsialno-ekonomicheskie yavleniya i protsessyi. – 2011. – Vol. 8. – P. 47–52.

Gevko, V. Klasifikatsiya Informatsiynih sistem upravlinnya vzaemovidnosinami z klientami [Text] / V. Gevko // Sotsialno-ekonomichni problemi i derzhava. – 2013. – Vol. 2, Issue 9. – P 44–57. – Available at: http://sepd.tntu.edu.ua/index.php/archive/10/262-2014-03-13-08-04-39

Song, K. Risk–return relationship in a complex adaptive system [Text] / K. Song, K. An, G. Yang, J. Huang // PLoS ONE. – 2012. – Vol. 7, Issue 3. – P. e33588. doi: 10.1371/journal.pone.0033588 

Carbone, A. Challenges in data science: A complex systems perspective [Text] / A. Carbone, M. Jensen, A.-H. Sato // Chaos, Solitons & Fractals. – 2016. – Vol. 90. – P. 1–7. doi: 10.1016/j.chaos.2016.04.020 

Encinar, M.-I. Evolutionary efficiency in economic systems: A proposal [Text] / M.-I. Encinar // Cuadernos de Economía. – 2016. – Vol. 39, Issue 110 – P. 93–98. doi: 10.1016/j.cesjef.2015.11.001 

Litvin, S. S. Development of alternative technical systems [Text] / S. S. Litvin, V. M. Guerassimov // Design Studies. – 2016. – Vol. 12, Issue 4. – P. 225–226. doi: 10.1016/0142-694x(91)90036-v 

Ibrahim, M. H. Business cycle and bank lending procyclicality in a dual banking system [Text] / M. H. Ibrahim // Economic Modelling. – 2016. – Vol. 55. – P. 127–134. doi: 10.1016/j.econmod.2016.01.013 

Wang, F. Simulation of Multi–Agent based Cybernetic Transportation System [Text] / F. Wang, M. Yang, R. Yang // Simulation Modelling Practice and Theory. – 2008. – Vol. 16, Issue 10. – P. 1606–1614. doi: 10.1016/j.simpat.2008.08.008 

Lutsenko, I. Systems engineering of optimal control I. Synthesis of the structure of the technological product conversion system (Part 1) [Text] / I. Lutsenko // Eastern-European Journal of Enterprise Technologies. – 2014. – Vol. 6, Issue 2 (72). – P. 29–37. doi: 10.15587/1729-4061.2014.28724 

Lutsenko, I. Optimal control of systems engineering. Development of a general structure of the technological conversion subsystem (Part 2) [Text] / I. Lutsenko // Eastern-European Journal of Enterprise Technologies. – 2015. – Vol. 1, Issue 2 (73). – P. 43–50. doi: 10.15587/1729-4061.2015.36246 

Lutsenko, I. Development of executive system architecture of the converting class [Text] / I. Lutsenko, E. Fomovskaya, O. Serduik // Eastern-European Journal of Enterprise Technologies. – 2016. – Vol. 4, Issue 2 (82). – P. 50–58. doi: 10.15587/1729-4061.2016.74873 

Lutsenko, I. Synthesis of cybernetic structure of optimal spooler [Text] / I. Lutsenko, E. Fomovskaya // Metallurgical and Mining Industry. – 2015. – Vol. 9. – P. 297–301.

Model 001.xls [Electronic resource]. – Yandeks Disk. – Available at: https://yadi.sk/d/hwo6fkgUuyPQ5






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ISSN (print) 1729-3774, ISSN (on-line) 1729-4061