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Abstract <p>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 them, 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 the 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 (NNs) in the formation of examples of their training on a modeling complex is proposed.</p>

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Control of Unmanned and Manned Aerial Vehicles’ Group Operations in Conditions of Active Counteraction

  • 期刊论文

  • 发表日期：

    2025年6月1日

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  • L. V. Vishnyakova,
  • I. B. Ivenin,
  • G. N. Lebedev,
  • A. V. Morzhin

摘要

Abstract

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 them, 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 the 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 (NNs) in the formation of examples of their training on a modeling complex is proposed.