Multi-criteria evaluation of the efficiency of formation flying using the multiplicative form

Authors

DOI:

https://doi.org/10.17308/sait.2020.2/2913

Keywords:

requests processing, dynamic programming, computer modelling, efficiency criteria

Abstract

The article considers the multi-criteria problem of evaluating the efficiency of formation flying of manned and unmanned aircraft when handling the flow of requests. Using dynamic programming we designed a model for assigning dynamic priorities that assess the importance of the completed requests. A single criterion for assessing the efficiency was selected using the multiplicative form, in which the number of cofactors is equal to the number of factors taken into account. Computer simulation demonstrated that the multiplicative form is more effective for planning than the additive one due to the increase in the total importance of the completed requests during cross-country flight.

Author Biographies

  • Georgy N. Lebedev, Moscow Aviation Institute (National Research University)

    DSc in Technical Sciences, Professor, Department of Automatic and Intelligent Control Systems, Moscow Aviation Institute (National Research University)

  • Denis A. Mikhailin, Moscow Aviation Institute (National Research University)

    PhD in Technical Sciences, Associate Professor, Department of Automatic and Intelligent Control Systems, Moscow Aviation Institute (National Research University)

  • Olga Y. Tsareva, Moscow Aviation Institute (National Research University)

    graduate student, Department of Automatic and Intelligent Control Systems, Moscow Aviation Institute (National Research University)

  • Marina E. Chernyakova, Kronstadt Group LLC

    trainee at the Moscow branch of Kronstadt Group LLC

References

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Published

2020-06-15

Issue

Section

Mathematical Methods of System Analysis and Management

How to Cite

Multi-criteria evaluation of the efficiency of formation flying using the multiplicative form. (2020). Proceedings of Voronezh State University. Series: Systems Analysis and Information Technologies, 2, 25-36. https://doi.org/10.17308/sait.2020.2/2913