Development and Application of Unmanned Aerial Vehicle Control Technology
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Aerospace Science and Engineering".
Deadline for manuscript submissions: 31 December 2024 | Viewed by 736
Special Issue Editors
2. National Key Laboratory of Aircraft Configuration Design, Xi’an 710072, China
Interests: advanced UAV aerodynamics; flight stability and control; autonomous flight
Interests: UAV flight dynamics; flight stability and control
Interests: smart structures; smart aircraft technologies; morphing structures; structural dynamics; vibration control; dynamic aeroelasticity; non-linear dynamics; mechanics and experimental dynamics
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Special Issue Information
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
Manuscript Submission Information
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Keywords
- advanced control algorithms
- autonomous navigation
- multi-sensor integration
- swarm intelligence
- artificial intelligence
- human–UAV interaction
- practical applications
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