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  • Управление передвижением группы БПЛА с соблюдением геометрической структуры строя на основе альтернативной коллективной адаптации
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News
October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.
October 7, 2026
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines
The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.
October 6, 2026
International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia
The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.

 

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Управление передвижением группы БПЛА с соблюдением геометрической структуры строя на основе альтернативной коллективной адаптации

Известия ЮФУ. Технические науки. 2024. № 1(237). С. 155–167.
Lebedev O. B., Котов Д. В.

The primary approach to solving motion planning and control problems involves the use of intelligent technologies. These technologies are applied to define and adjust control objectives and action programs, as well as to formulate control algorithms under conditions of uncertainty—stemming from various factors—across actuator elements and the motion control, planning, and behavioral subsystems. This paper addresses a pressing issue in mathematical modeling and control theory: the decentralized control of a multi-agent system comprising agents that model autonomous robot behavior, specifically to facilitate the movement of a robot group deployed in line and convoy formations. The study reviews research on controlling groups of unmanned aerial vehicles (UAVs), identifies the types of tasks such aerial robot groups can perform, and outlines key control strategies and their specific characteristics. General principles required to develop a detailed group control algorithm are established. Each robot must navigate autonomously—without GPS—using signals from its own camera or lidar (active rangefinder) to detect obstacles, plan optimal paths, and make decisions aimed at achieving the objective and completing the mission. Control is implemented via an alternative collective adaptation algorithm based on concepts of collective behavior among the adaptive entities. To realize the adaptation mechanism, adaptation automata—which model the behavior of the adaptive entities within the environment—are mapped to the parameters of the adaptation vector. A structure for the alternative collective adaptation process has been developed to govern the group's movement in formation.

Research target: Computer Science
Language: Russian
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Keywords: адаптацияструктурасистема управленияadaptationmulti-agent systemsformationмультиагентная системаcontrol systemбеспилотные летательные аппаратыstructureswarm of robotsрой роботовстройunmanned aerial vehicles
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