Skip to main content
Log in

On the status and prospects of systems analysis methods in ukraine

  • Published:
Cybernetics and Systems Analysis Aims and scope

Abstract

The paper deals with the role and place of systems analysis methods in the solution of complex problems in various spheres of human activity in Ukraine. The social and socio-economic prerequisites for development of theory and applied methods are being considered. The main characteristics of the problems to which these methods are applied are formulated. The hierarchy of problems and methods used for solution of complex problems based on systems analysis methods is presented, and the main spheres of their application in Ukraine are presented.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. V. V. Azhogin and M. Z. Zgurovskii, Computer-Aided Software Design for Automated Process Control Systems [in Russian], Vyshcha Shkola, Kiev (1986).

    Google Scholar 

  2. V. V. Azhogin and M. Z. Zgurovskii, Computer-Aided Design of Optimal Control Systems for Dynamic Plants with Distributed Parameters [in Russian], Vyshcha Shkola, Kiev (1984).

    Google Scholar 

  3. V. V. Azhogin and M. Z. Zgurovskii, Digital, Analog, and Hybrid Computer Simulation [in Russian], Vyshcha Shkoia, Kiev (1983).

    Google Scholar 

  4. V. V. Azhogin, M. Z. Zgurovskii, and Yu. S. Korbich, Methods of Filtering and Control of Stochastic Distributed-Parameter Processes [in Russian], Vyshcha Shkola, Kiev (1988).

    Google Scholar 

  5. V. V. Azhogin, M. Z. Zgurovskii, and A. N. Novikov, “Parametric identification of spatially-distributed stochastic processes of filtering type,” Avtomatika, No. 5, 14–22 (1986).

  6. S. A. Aivazyan, V. M. Bukhshtaber, I. S. Enyukov, and L. D. Meshalkin, Applied Statistics. Classification and Dimension Reduction [in Russian], Mir, Moscow (1983).

    Google Scholar 

  7. V. I. Belyaev and M. Yu. Khudoshina, Foundation of Logico-Information Modeling of Complex Geosystems [in Russian], Naukova Dumka, Kiev (1989).

    Google Scholar 

  8. M. E. Berlyand, Modern Problems of Atmospheric Diffusion and Atmosphere Contamination [in Russian], Gidrometeoizdat, Leningrad (1975).

    Google Scholar 

  9. T. I. Dubenko, “Identification and parameter estimation in stochastic systems described by partial differential equations,” Avtomat. Telemekh., No. 12, 5–19 (1983).

  10. M. Z. Zgurovskii, Integrated Optimal Control and design Systems [in Russian], Vyshcha Shkola, Kiev (1990).

    Google Scholar 

  11. M. Z. Zgurovskii, “Generalization of the methods of analysis of complex physical processes and fields based on systems approach,” Kibern. Sist. Anal., No. 3, 143-154 (1995).

  12. M. Z. Zgurovskii and P. I. Bidyuk, Analysis and Control of Large Space Structures [in Russian], Naukova Dumka, Kiev (1997).

    Google Scholar 

  13. M. Z. Zgurovskii, A. M. Demchenko, A. N. Novikov, and I. I. Kovalenko, Systems Analysis of Complex Physical Processes and Fields [in Russian], Preprint 93-30, Inst. Kibern., National Acad. Sci. Ukraine, Kiev (1993),

  14. M. Z. Zgurovskii and A. V. Dobronogov, “Systems analysis of socio-political processes using neuron network models,” Kibern. Sist. Anal., No. 1, 76–85 (1977).

  15. M. Z. Zgurovskii, A. V. Dobronogov, and T. N. Pomerantseva, Investigation of Social Processes Based on Systems Analysis Methodology [in Russian], Naukova Dumka, Kiev (1997).

    Google Scholar 

  16. M. Z. Zgurovskii, Yu. S. Korbich, and A. N. Novikov, “Computer calculation of parameters and states of porous saturated media and optimal sensor distribution,” Khim. Tekhnol., No. 2, 50–55 (1985).

  17. M. Z. Zgurovskii and V. S. Mel’nik, NonlinearAnalysis and Control of Infinite-Dimensional Systems [in Russian], Naukova Dumka, Kiev (1999).

    Google Scholar 

  18. M. Z. Zgurovskii and A. N. Novikov, “State and parameter estimation of stochastically-distributed systems based on separation and duality principles,” Avtomatika, No. 4, 17–25 (1988).

  19. M. Z. Zgurovskii and A. N. Novikov, Systems Analysis of Stochastically Distibuted Processes (Modeling, State Estimation, Identification): a Textbook [in Russian], Vyshcha Shkola, Kiev (1988).

    Google Scholar 

  20. M. Z. Zgurovskii, A. N. Novikov, and A. N. Selin, “Automatic adjustment of porosity and permeability parameters of single-phase media,” Khim. Technol., No. 3, 44–50 (1984).

  21. M. Z. Zgurovskii and T. N. Pomerantseva, “On the use of decision-support methods in the control of complex social systems,” Probl. Upravl. Inf., No. 1, 89–97 (1995).

  22. M. Z. Zgurovskii, T. N. Pomerantseva, and A. Yu. Artemov, “Systems analysis of socio-political processes using spin models,” Kibern. Sist. Anal., No. 1, 67–75 (1997).

  23. M. Z. Zgurovskii, A. N. Selin, and M. I. Mamedov, “Statė and parameter estimation of atmospheric processes using a combined approach,” Avtomatika, No. 4, 24–28 (1987).

  24. M. Z. Zgurovskii and A. V. Dobronogov, Application of Systems Analysis Methodology to Pension Security in Ukraine [in Ukrainian], Naukova Dumka, Kiev (1998).

    Google Scholar 

  25. G. D. Babe, A. Bondarev, A. F. Voevodin et al., Identification of Hydraulics Models [in Russian], Nauka, Novosibirsk (1980).

    Google Scholar 

  26. L. Itskovich, “Determination of distance between sensors in the control of spatially distributed fields,” Avtomat. Telemekh., No. 3, 233-239 (1963).

  27. I. I. Kovalenko, “Analysis of random spatial pictures,” Avtomatika, No. 5, 65–69 (1987).

  28. I. I. Kovalenko, “Some structures of spatially distributed pictures and their analysis,” Avtomatika, No. 6, 3–9 (1988).

  29. I. I. Kovalenko, V. A. Podzharenko, and A. D. Azarov, Redundant Notations, Modeling, Data Processing, and Systems Design in Data Conversion Technique: a Manual [in Russian], Vyshcha Shkola, Kiev (1990).

    Google Scholar 

  30. V. B. Kovgar and A.N. Selin, Identification of Dangerous Discharge Sources Using Measurement Data of Pollutant Concentration in Environmental Systems [in Russian], Proc. 4th Int. Sci.-Techn. Conf. on Complex Automation Problems, Kiev, Oct. 17–20, 1990, Part 3, Kiev (1990), pp. 163-167.

  31. V. B. Kovgar and A. N. Selin, “Mathematical methods for determining characteristics of atmosphere pollution sources,” Vestn. Kiev. Politekhn. Inst., 14–22 (1982).

  32. A. I. Kukhtenko, Cybernetics and Fundamental Sciences [in Russian], Naukova Dumka, Kiev (1987).

    Google Scholar 

  33. J.-L. Lions, Optimal Control of Systems Governed by Partial Differential Equations [Russian translation], Mir, Moscow (1972).

    Google Scholar 

  34. G. I. Marchuk, Mathematical Modeling in Environmental Problems [in Russian], Nauka, Moscow (1982).

    Google Scholar 

  35. M. Mesarovich et al., Theory of Hierarchical Multilevel Systems [Russian translation], Mir, Moscow (1973).

    Google Scholar 

  36. M. Mesarovich and Ya. Takahara, General Systems Theory: Mathematical Foundations [Russian translation], Mir, Moscow (1978).

    Google Scholar 

  37. V. S. Mikhalevich and V. L. Volkovich, Computational Methods of System Investigation and Design [in Russian], Nauka, Moscow (1982).

    Google Scholar 

  38. N. N. Moiseev, Algorithms of Development [in Russian], Nauka, Moscow (1987).

    Google Scholar 

  39. N. N. Moiseev, Mathematical Problems of Systems Analysis [in Russian], Nauka, Moscow (1981).

    Google Scholar 

  40. A. N. Paramonov, V. M. Kushnir, and V. I. Zaburdaev, Modern Methods and Means for Measurement of Hydrological Ocean parameters [in Russian], Naukova Dumka, Kiev (1979).

    Google Scholar 

  41. A. V. Primak, A. N. Shcherban’, and A. S. Soroka, Automated Systems for Protection of the Air Basin from Pollution [in Russian], Tekhnika, Kiev (1988).

    Google Scholar 

  42. N. S. Raibman, V. O. Bogdanov, and D. V. Kneller, “Identification of distributed-parameter systems,” Avtomat. Telemekh., No. 3, 44–50 (1984).

  43. A. P. Sage and J. L. Melse, Estimation Theory with Application to Communication and Control, McGraw-Hill, N.Y. (1972).

    Google Scholar 

  44. A. P. Sage and J. L. Melse, Control System Identification [Russian translation], Nauka, Moscow (1974).

    Google Scholar 

  45. A. N. Tikhonov, V. D. Kalner, and V. B. Glasko, Mathematical Modeling of Technological Processes and Method of Inverse Problems in Machine Building [in Russian], Mashinostroenie, Moscow (1990).

    Google Scholar 

  46. V. N. Tutabalin, Statistical Processing of Observation Series [in Russian], Znanie, Moscow (1973).

    Google Scholar 

  47. E. I. Tsvetkov, Nonstationary Random Processes and Their Analysis [in Russian], Znanie, Leningrad (1973).

    Google Scholar 

  48. E. I. Tsvetkov, Foundations of the Theory of Statistical Measurements [in Russian], Energiya, Leningrad (1979).

    Google Scholar 

  49. P. Eykhoff, Modern System Identification Methods [Russian translation], Mir, Moscow (1983).

    Google Scholar 

  50. P. Dague, O. Raiman, and P. Deves, Troubleshooting: When Modeling Is in Trouble, in: Proc. AAAI-87, San-Francisco (1987), pp. 600-605.

  51. J. De Kleer and J. S. Brown, “A qualitative physics based on confluences,” Artificial Intelligence, No. 24, 7–83 (1984).

  52. J. De Kleer and J. S. Brown, The Origin, Form, and Logic of Qualitative Physical Laws, in: Proc. 2nd Conf. on Artificial Intelligence, Pittsburg, 125-137 (1982).

  53. J. De Kleer and J. S. Brown, “Theory of causal ordering,” Artificial Intelligence, No. 29, 33–61 (1986).

    Google Scholar 

  54. A. A. Demtchenko, “Membership function construction method,” J. of the Chengdu University of Science and Technology (China), No. 38, 69–74 (1988).

  55. K. D. Forbus, “Qualitative process theory,” J. of the Chengdu University of Science and Technology (China), No. 38, 85–168 (1988).

  56. J. Korbicz and M. Z. Zgurovsky, Estimation and Control of Stochastic Plants with Distributed Parameters [in Polish], Wydawnictwo Naukowe PWN, Warszawa (1991).

    Google Scholar 

  57. B. Kuipers, “Commonsense reasoning about causality intelligence,” J. of the Chengdu University of Science and Technology (China), No. 38, 169-203 (1988).

  58. B. Kuipers, “Qualitative simulation,” J. of the Chengdu University of Science and Technology (China), No. 38, 289-338 (1988).

  59. M. L. Mavrouniotis and G. Stephanopoulos, “Formal order-of-magnitude in process engineering,” Comput. Chem. Eng., No. 12, 867-880 (1988).

  60. M. L. Mavrouniotis, G. Stephanopoulos, and G. N. Stephanopoulos, “Computer-aided modeling of bacterial cells: the use of expert systems,” AICHE, 85–168 (1986).

  61. M. Z. Zgurovsky and W. F. Ramirez, Control and Design Optimization for Industrial Systemss, Vyshcha Shkola, Kiev (1990).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Additional information

Translated from Kibernetika i Sistemnyi Analiz, No. 1, pp. 101–109, January–February, 2000.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Zgurovskii, M.Z. On the status and prospects of systems analysis methods in ukraine. Cybern Syst Anal 36, 75–82 (2000). https://doi.org/10.1007/BF02733303

Download citation

  • Received:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02733303

Keywords

Navigation