Methodological aspects of operative control system intellectualization for dynamic objects

Authors

DOI:

https://doi.org/10.20535/SRIT.2308-8893.2022.4.04

Keywords:

control system, intellectualization, organization of control systems, intelligent control, man-machine systems

Abstract

The problems of intelligent control system organization are considered: determining the number of intellectualization levels, the sequence of actions required for analysis of the control process, adding to the control system new elements providing for enhancement degree of its intellectualization, special features of its structural organization, estimating the possibilities of intellectualization, providing examples of practical intellectualization. The primary purpose of the study is to determine the purposeful organization of intelligent control systems as well as the necessity and usefulness of systemic consideration that takes into consideration the following: requirements of the problem statement, characteristics of the environment, means for acquiring and processing necessary information, working control mechanisms, functional characteristics and experience of user-operator. As a result of the analysis performed, characteristic levels of the intellectual development of a system were determined, the stages of performing intellectualization of a control system were proposed, and the effectiveness of proposed solutions for practical problems was shown.

Author Biographies

Serhii Melnykov, International Scientific and Educational Center of Information Technologies and Systems of the National Academy of Sciences of Ukraine, Kyiv

Candidate of Technical Sciences (Ph.D.), a senior researcher at the Department of Ecological Digital Systems of the International Scientific and Educational Center of Information Technologies and Systems of the National Academy of Sciences of Ukraine, Kyiv, Ukraine.

Petro Malezhik, Dragomanov National Pedagogical University, Kyiv

Candidate of Physical and Mathematical Sciences (Ph.D.), Doctor of Pedagogical Sciences, an associate professor at the Computer and Software Engineering Department of the Dragomanov National Pedagogical University, Kyiv, Ukraine.

Aydin Gasanov, Dragomanov National Pedagogical University, Kyiv

Associate professor, Doctor of Technical Sciences, a professor at the Computer and Software Engineering Department of the Dragomanov National Pedagogical University, Kyiv, Ukraine.

Petro Bidyuk, Institute for Applied System Analysis of the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Kyiv

Doctor of Technical Sciences, a professor at the Department of Mathematical Methods of System Analysis of Institute for Applied System Analysis of the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Kyiv, Ukraine.

References

M. Zgurovsky and Yu. Zaychenko, Fundamentals of computational intelligence: System approach. Springer, 2016, 275 p.

Max Tegmark, Life 3.0: Being Human in the Age of Artificial Intelligence. Penguin, 2018, 380 p.

Ian Goodfellow, Yoshua Bengio, and Aaron Courville, Deep learning. Cambridge, MA, USA: The MIT Press, 2016, 800 p.

R.W. Beard and T.W. McLain, Small Unmanned Aircraft: Theory and Practice. Princeton, NJ: Princeton University Press, 2012, 320 p.

S.V. Melnykov, “Conformity to the laws of organizing control in ergatic systems,” in Cybernetics and computers, issue 155, pp. 3–15, 2007.

S.V. Melnykov, “Conformity to the laws of organizing complex ergatic systems and creation of structure for remote control of dynamic objects,” in Cybernetics and computers, issue 168, pp. 70–79, 2012.

S.V. Pavlova, Yu.P. Bogachuk, S.V. Melnykov and A.Yu. Gospodarchuk, “Organizing of effective data exchange in the network control systems for dynamic objects,” in Cybernetics and computers, issue 177, pp. 43–53, 2014.

G.S. Bushgens and R.V. Studnev, Dynamics of airplane. Dynamics of direct and side movement. M.: Mashinostrojenie, 1979, 372 p.

V.V. Pavlov, Synthesis of strategies in man-machine systems. Kyiv: Vyshcha shkola, 1989, 162 p.

Neil Wilkins, Artificial Intelligence: An Essential Beginner’s Guide to AI, Machine Learning, Robotics, The Internet of Things, Neural Networks, Deep Learning, Rein-forcement Learning and Our Future. Bravex Publications, 2019, 112 p.

M. Zgurovsky and Yu. Zaychenko, Big Data: Conceptual Analysis and Applications. Springer Nature Switzerland AG, 2019, 306 p.

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Published

2022-12-27

Issue

Section

Theoretical and applied problems of intelligent systems for decision making support