Russian Federation
Russian Federation
Russian Federation
A model has been developed for the integral assessment of the training of unmanned aerial vehicle control calculations in the face of enemy counteraction by analyzing the process of delivering unmanned aerial vehicle cargo to hard-to-reach areas, which makes it possible to evaluate the effectiveness of unmanned aerial vehicle use based on the probability of successful cargo delivery in a time not exceeding a given time. The model is based on the application of the method of topological transformation of stochastic networks. The cargo delivery process is presented as a stochastic network with further definition of its equivalent function and application of Heaviside decomposition to determine the distribution function and mathematical expectation of the cargo delivery time. This representation of the process under study made it possible to take into account the destructive effect on the unmanned aerial vehicle from the attacker. The initial data are parameters characterizing the properties of particular processes included in the stochastic network in the form of branches and calculated using methods published in the materials of earlier studies.
equivalent function, unmanned aerial vehicle, enemy, subsystem of detection and interception of an unmanned aerial vehicle, flight mission, combat mission, mathematical model
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