Parametric Adaptation as an Element of Mathematical Models Qualimetry of Complex Processes

Authors

  • B. L. Butvin Central Research Institute of the Armed Forces of Ukraine, Kyiv, Ukraine
  • O. O. Mashkin Central Research Institute of the Armed Forces of Ukraine, Kyiv, Ukraine
  • O. M. Sobolev Central Research Institute of the Armed Forces of Ukraine, Kyiv, Ukraine
  • V. E. Mykhalevych Central Research Institute of the Armed Forces of Ukraine, Kyiv, Ukraine
  • P.V. Open'ko Institute of Aviation and Air Defense, National Defense University of Ukraine named after Ivan Cherniakhovskyi, Kyiv, Ukraine
  • S. V. Maslenko Central Research Institute of the Armed Forces of Ukraine, Kyiv, Ukraine

DOI:

https://doi.org/10.3849/aimt.01541

Keywords:

analytical and simulation models, complex process, parametric adaptation of analytical models, qualimetry of models

Abstract

A possible approach to ensuring the necessary qualitative properties of analytical models by adapting their parameters to probable changes in the course of complex processes is considered. The approach involves the use of a polymodel description of processes with the aim of mutual compensation of the objective shortcomings of heterogeneous models, as well as the use of simulation modeling capabilities to adjust the parameters of analytical models in cases where the use of the latter is due to strict limitations on the time of obtaining calculation results and developing control influences based on them. The considered example of parametric adaptation of the Lanchester-type model reflects probable changes in the number of opposing sides during the conduct of hostilities.

Author Biography

  • P.V. Open'ko, Institute of Aviation and Air Defense, National Defense University of Ukraine named after Ivan Cherniakhovskyi, Kyiv, Ukraine

    канд. техн. наук

References

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Published

24-11-2022

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Section

Research Paper

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How to Cite

Parametric Adaptation as an Element of Mathematical Models Qualimetry of Complex Processes. (2022). Advances in Military Technology, 17(2), 427-437. https://doi.org/10.3849/aimt.01541

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