Recent Advances on Cooperative Navigation and Control Methods for Multiple Unmanned Aerial Vehicles
A special issue of Aerospace (ISSN 2226-4310). This special issue belongs to the section "Aeronautics".
Deadline for manuscript submissions: closed (30 April 2024) | Viewed by 1657
Special Issue Editors
Interests: filtering theory; inertial navigation system; navigation; global navigation satellite system; sensor fusion; cooperative navigation for UAVs
Special Issue Information
Dear Colleagues,
Unmanned aerial vehicles (UAVs) have been extensively applied in numerous military and civilian applications, e.g., reconnaissance, monitoring, exploration, inspection, and rescue. As their most critical component, navigation and control systems are of great significance for ensuring flight safety. Compared with a single UAV, multiple UAVs have the merits of higher efficiency and reliability based on vehicle-to-vehicle communication via information sharing. In view of the developments of UAV cooperative and control technologies in past decades, there is an urgent need to develop advanced cooperative navigation and control techniques to meet the demands of complex and tasks in challenging environments. This Special Issue aims to bring together researchers and practitioners to explore the latest developments in navigation and control methods and to present a collection of papers that address the challenges and opportunities in these fields. We invite submissions from academia and industry on theoretical and practical aspects related to cooperative navigation and control theories and applications for unmanned aerial vehicles. We also welcome articles on other topics related to aerospace systems, such as space perception, trajectory planning, and attitude estimation themes. Topics of interest include but are not limited to:
- Cooperative navigation and positioning;
- Consensus and distributed optimization problems;
- Containment and distributed formation problems;
- Multi-sensor fusion for unmanned aerial systems;
- Trajectory planning for cooperative tasks.
Dr. Zebo Zhou
Prof. Dr. Peng Lin
Guest Editors
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