Development and Application of Unmanned Aerial Vehicle Control Technology

Dear Colleagues,

Unmanned Aerial Vehicles (UAVs) have seen rapid development and widespread application across various fields, including military, agriculture, logistics, environmental monitoring, and disaster management. Their versatility and capability to perform tasks that are either dangerous, difficult, or impossible for humans have catalyzed their widespread adoption. The control technology behind UAVs is a critical area of research that ensures these systems can perform complex tasks autonomously, safely, and efficiently. The evolution of UAV control systems encompasses various aspects including advanced control algorithms, autonomous navigation, sensor integration, and real-time decision-making processes. With the rise of machine learning and artificial intelligence, UAVs are now capable of performing more complex tasks with higher degrees of autonomy. This Special Issue aims to collate pioneering research that explores the latest developments in UAV control technologies and their practical applications. Potential topics of interest include, but are not limited to, the following:

• Advanced control algorithms for UAVs;
• Autonomous navigation and path optimization;
• Multi-sensor integration and data fusion;
• Real-time autonomous decision-making systems;
• Swarm intelligence and collaborative control;
• Robust control in adverse environments;
• Artificial intelligence and machine learning in UAV control;
• Human–UAV interaction and intuitive control interfaces;
• Safety, security, and privacy in UAV operations;
• Practical applications and case studies of UAVs.

Dr. Xiaoping Xu
Dr. Rui Wang
Dr. Rosario Pecora
Guest Editors

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