TY - GEN

T1 - Constructing the optimal strategy for a drone in an obstacle avoidance problem

AU - Малафеев, Олег Алексеевич

AU - Зайцева, Ирина Владимировна

AU - Акбашев, Марк Римович

AU - Смирнова, Татьяна Евгеньевна

AU - Михеев, Сергей Евгеньевич

AU - Колпак, Евгений Петрович

N1 - Conference code: 6

PY - 2024

Y1 - 2024

N2 - This article discusses the problem of building an optimal strategy for a drone in the task of chasing a target and avoiding obstacles. The paper analyzes a mathematical model of a game with incomplete information, in which players make decisions based on limited information about each other's condition. Theorems related to the existence of successful strategies for players in this task are presented. The study presents strategies for a drone in conditions of limited information and identifies optimal approaches to solving the problem of harassment. A strategy has been formulated for the drone in conditions of limited information and determine the optimal approaches to solving the task of pursuit. The results demonstrate in the MATLAB/SCRIPT application program the existence of an optimal strategy for unmanned aerial vehicles, which ensures effective overcoming of obstacles under various conditions and constraints. The results obtained can be applied to develop algorithms for controlling unmanned systems in pursuit scenarios

AB - This article discusses the problem of building an optimal strategy for a drone in the task of chasing a target and avoiding obstacles. The paper analyzes a mathematical model of a game with incomplete information, in which players make decisions based on limited information about each other's condition. Theorems related to the existence of successful strategies for players in this task are presented. The study presents strategies for a drone in conditions of limited information and identifies optimal approaches to solving the problem of harassment. A strategy has been formulated for the drone in conditions of limited information and determine the optimal approaches to solving the task of pursuit. The results demonstrate in the MATLAB/SCRIPT application program the existence of an optimal strategy for unmanned aerial vehicles, which ensures effective overcoming of obstacles under various conditions and constraints. The results obtained can be applied to develop algorithms for controlling unmanned systems in pursuit scenarios

KW - drone

KW - pursuit

KW - obstacle

KW - optimal strategy

KW - game with incomplete information

KW - unmanned systems

KW - control

KW - algorithms

U2 - 10.1109/SUMMA64428.2024.10803723

DO - 10.1109/SUMMA64428.2024.10803723

M3 - Conference contribution

SP - 7

EP - 11

BT - 2024 6th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA)

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 6th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA)

Y2 - 13 November 2024 through 15 November 2024

ER -