Issue 1 (187), article 3


Kibern. vyčisl. teh., 2017, Issue 1 (187), pp.30-49

Pavlov V.V., Doctor of Technics, Professor, Head of Intellectual Control Department
Shepetukha YU.M., PhD (technics), Senior Researcher, Senior Researcher of Intellectual Control Department
Melnikov S.V., PhD (technics), Senior Researcher, Acting Head of Intellectual Control Department
Volkov A.E., Researcher of Intellectual Control Department

International Research and Training Center for Information Technologies and Systems of the NAS of Ukraine and Ministry of Education and Science of Ukraine,
av. Acad. Glushkova, 40, Kiev, 03680, Ukraine


Introduction. Intelligent control systems are advanced computerized systems aimed at the modeling and analysis of intelligent tasks as well as the support of human activity in their solving. Therefore, consideration of both conceptual and applied issues of such systems’ development is an important and urgent scientific problem.

The purpose of the paper is to examine existing approaches, current state, important results and prospects for future development of such new scientific direction as intelligent control.

Methods. Artificial intelligence methods, man-machine theory, conflict resolution theory, theory of deterministic chaos, methods of decision support, methods of distributed control of non-linear applied processes.

Results. One may stress two main directions in the field of intelligent control where promising results have been achieved. The first one, related to the creation of intelligent infrastructure, includes development of methods and structures of distributed control as well as examination of non-linear applied processes in objects with variable properties. The second direction, attributed to the creation of intelligent agents, includes elaboration of methods, models and algorithms for real-time decisions related to the efficient control of dynamic objects.

Conclusion. Modern systems of intelligent control should integrate into a single unity three main components such as: traditional control methods, artificial intelligence theory and decision making approach. The main problem is the transformation of conceptual issues of intelligent systems’ creation into concrete technologies and algorithms of control in specific application domains.

Keywords: intelligent control, human-machine system, conflicts theory, non-linearity, uncertainty, net-centricity.

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1 Zilouchian A., Jamshidi M. Intelligent control systems using soft computing methodologies. Boca Raton: CRC Press, 2001. 492 p.

2 Shtcherbatov I.A. Intelligent control of robot-technical systems in uncertainty conditions. Bulletin of Astrakhan State Technical University. 2010. No1. pp. 73–77 (in Russian).

3 Antsaklis P.J. On intelligent control: report of the IEEE CSS task force on intelligent control. Technical report of the ISIS group No. ISIS 94-001. University of Notre Dame. 1994. 31 p.

4 Albus J.S. On intelligence and its dimensions. Technical report of the ISIS (Interdisciplinary studies of intelligent systems) group No. ISIS 94-001. University of Notre Dame. 1994. P. 11–13.

5 Antsaklis P.J. On autonomy and intelligence in control. Technical report of the ISIS group No. ISIS 94-001. University of Notre Dame. 1994. P. 14–18.

6 Meystel A. On intelligent control, learning and hierarchies. Technical report of the ISIS group No. ISIS 94-001. University of Notre Dame. 1994. P. 14–18.

7 Imam I.F., Kondratoff Y. Intelligent adaptive agents: a highlight of the AAAI-96 workshop. Artificial Intelligence. 1997. No 18(3). P. 75–80.

8 Hess T.J., Rees L.P., Rakes T.R. Using autonomous software agents to create the next generation of decision support systems. Decision Sciences. 2000. Vol. 31. No 1. P. 1–31.

9 Wooldridge M., Jennings N.R. Intelligent agents: theory and practice. The Knowledge Engineering Review. 1995. Vol. 10. No 2. P. 115–152.

10 Intelligent infrastructure for the 21st century. VeriSign, Inc. Mountain View, CA,

11 USA. 22 p. URL:

12 Vasilyev S.N. From classical automatic control problems to intelligent control. Theory and Systems of Control. 2001. No 1. pp. 5–22 (in Russian).

13 XII International conference on intelligent systems and control “ISC-2009”. (Cambridge, 2009) URL: 20081208150054.

14 Pavlov V.V., Pavlova S.V. Intelligent control of complex non-linear dynamic systems: analytics of intelligence. Kiev: Nauk. dumka, 2015. 216 p. (in Russian).

15 Nonaka I., G. von Krogh. Tacit knowledge and knowledge conversion: controversy and advancement in organizational knowledge creation theory. Organization Science. 2009. Vol. 20. No 3. P. 635–652.

16 Pavlov V.V. Fundamentals of ergatic systems theory. Kiev: Nauk. dumka, 1975. 240 p. (in Russian).

17 Pavlov V.V. Conflicts in engineering systems. Kiev: Vyshcha shkola, 1982. 184 p. (in Russian).

18 Pavlov V.V. Synthesis of strategies in man-machine systems. Kiev: Vyshcha shkola, 1989. 162 p (in Russian).

19 Bibichkov A., Pavlov V., Gricenko V., Gubanov S. “Anticon” — a step for the provision of navigation safety. Navigation. 1999. No 3. pp. 42–43 (in Russian).

20 Method and device for computer networks of control of application processes’ high speed cycles: pat. 83118 Ukaine; reg. 08 Semtember 2006 (in Russian).

Recieved 02.10.2016

Issue 186, article 5


KVT, 2016, Issue 186, pp.46-56

UDC 681.518


Melnikov S.V., Volkov A.E., Komar N.N., Voloshenyuk D.A.

International Research and Training Center for Information Technologies and Systems, Kyiv, Ukraine , , ,

Introduction. The problem of increasing network performance is very relevant. In practice, the actual speed of data transmission / receiving is significantly lower than the bit rate supported by used network technology. The actual wireless network bandwidth depends on the used technology, the number of subscribers in the network, length and quality of communication channels, electromagnetic interference, weather, network equipment, protocols and many other factors.

The purpose. The project is based on applied research in the field of high-speed cycles control systems for net-centric dynamic application processes with spatially-distributed interrelated functional components. Thus it provides functional and temporal combination of internal resources of net-centric distributed control systems with objects and technological processes on the basis of shared use of dynamics models working in an accelerated time scale into a single space-time net-centric complex.

Results. To solve the problem of determining the quality of the data transfer process in order to further control and manage this process, a method which is based on software that works with any standardized computing environment was developed. This method detects and evaluates the operating parameters of the wired Internet network before, during and after transmission of the information data packets provides analytical (numerical values of time delay of packet transmission, the percentage of lost data, signal quality, transmission speed and receive speed) and graphic parameters to control information transmission routes. This paper provides the results of computer simulation which are represent the network connection quality.

Conclusion. Development a method for determining the quality of information data transmission via a wireless connection, also as a creating programs for protection against unauthorized network access — are a perspective research objectives. Results of simulations confirm the appropriateness of using the given method of data transfer control in the terrestrial wired data transmission systems and the need to develop such technology for wireless connection.

Keywords: network-centric; control technology; communication; computer modeling; virtual model.

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  1. A.A. Mizin Transmission of information via circuit-switched communications networks. M.: Communications, 1977, 328 p.
  2. S.V. Pavlova, Y.P. Bogachuk, S.V. Melnikov Simulation technology of distributed network of aircraft control. Kibernetika i vyčislitelʹnaâ tehnika, 2011, Vol. 163, pp. 45–53.
  3. Method of control of the route and determine the quality of the transfer of information data through a wired Internet network. Patent of Ukraine №04108, IPC (2013) G06N 7/00, stated 15/05/2014, Published 07/16/2014.
  4. V.P. Kharchenko, S.M. Kredentsar Networks and databases. NAU, Kiev, 2013, 328 p.
  5. 2013-2028 Global Air Navigation Plan. The capacity and effectiveness. International Civil Aviation Organization ICAO. Montreal, Canada, 2013, Vol. 4, 128 p.
  6. S.M. Pauk Aeronautical Telecommunication Networks. M.: Transport, 1986, 271 p.

Received 28.11.2016