Analysis shows that minimizing losses in unmanned and manned aerial vehicles during group control implies improved efficacy against counteractions.
The problem of group control of aircraft in conditions of active counteraction is considered. In this case, different rates of losses of one’s own forces, superior to the enemy or inferior to him, are taken into account. When assessing the effectiveness of paired counteraction, a multiplicative convolution is proposed. It takes into account the losses of both sides and their cost. A minimax algorithm for group target distribution of different types of aircraft is formed, taking into account the degree of their compliance in each pair. The use of artificial intelligence in the form of several neural networks in the formation of examples of their training on a modeling complex is proposed.
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L. V. Vishnyakova (2025) studied this question.
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