Abstract
The problem of the interconnected control of a group of unmanned aerial vehicles guided to a group of objects, some of which are false, created with the help of a simulated countermeasure and amplified masking interference that causes information breaks, is considered. An information-control algorithm for interacting unmanned aerial vehicles is developed that recognizes interference situations, estimates the coordinates of objects, and points with the required accuracy to a given distance between adjacent unmanned aerial vehicles. An example of the construction of an information-control interconnected algorithm in the problem of guiding two unmanned aerial vehicles to the same object covered by imitation and masking interference is given.
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Funding
This work was supported by the Russian Science Foundation, project no. 22-29-00708.
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Boldinov, V.A., Bukhalev, V.A. & Skrynnikov, A.A. Interconnected Control System for a Group of Unmanned Aerial Vehicles under Information Counteraction. J. Comput. Syst. Sci. Int. 61, 893–901 (2022). https://doi.org/10.1134/S1064230722060041
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DOI: https://doi.org/10.1134/S1064230722060041