Unmanned Aerial Vehicle Control, Networks, System and Application

Dear Colleagues,

In recent years, unmanned aerial vehicles (UAVs) have been used in a variety of applications. The majority of conventional guidance, navigation, and control methods are based on sensing to obtain the vehicle status and surrounding environment information through a signal processing technique. Recently, along with the rapid development of computer science, machine learning, electronics, control theories, and, particularly, artificial intelligence techniques, UAVs are becoming more and more maneuverable and smarter. Therefore, the applications of this technology are also expanding. To contribute to this expansion, a fully autonomous UAV must integrate many intelligent abilities such as environment recognition, collision prediction, tracking control, fault diagnosis and failure control, etc., and, particularly, the capacity to connect to other vehicles (multiple UAVs, cars and UAVs, ships and UAVs, etc.) to complete specific missions through various communication techniques (MALLink, ROS, wireless networks, individual vehicle networks, etc.). This Special Issue will develop and apply advanced technologies for smart UAV based on highlighted inventions or current challenging applications. We welcome original, state-of-the-art studies in the areas that contribute to academia and industry. The Special Issue will cover but is not limited to the following:

• Autonomous control for unmanned aerial vehicles, multicopter drones
• Artificial intelligence in collision prediction and tracking control
• Deep learning-based sensor fusion and environment detection
• Artificial intelligence-based fault diagnosis and failure control
• Disturbance observer and robust control for multicopter UAVs

Prof. Dr. Sung Kyung Hong
Dr. Le Nhu Ngoc Thanh, Ha
Guest Editor

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