Cooperative Optimal Control of UAVs Based on Brain-Attention Mechanism Neural Network

With the increasing complexity and variety of mission environments, multiple-UAVs cooperative path optimization system is gradually becoming an important development direction in the future. Because the current intelligent level of UAV is difficult to meet the requirements of complex tasks, in order to improve the intelligence and collaborative ability of multiple-UAVs systems, this paper focuses on the intelligent decision-making and collaborative control of UAV in the collaborative path of multiple UAVs system. In this paper, an autonomous and innovative UAV Cooperative Path Optimization System Based on neural network of brain like attention mechanism is proposed. The experimental results show that this method has lower processing delay, can achieve positioning accuracy in a shorter time, and has higher reliability and accuracy than the traditional center controlled UAV cooperative positioning UAV method.