Special Issue "Unmanned Aerial Vehicle Control, Networks, System and Application"
Deadline for manuscript submissions: closed (15 March 2021) | Viewed by 25888
Interests: flight control system; IMU application; UAV; multicopter drone
Special Issues, Collections and Topics in MDPI journals
Interests: nonlinear control; disturbance observer-based control; collision avoidance control design for unmanned vehicles; UAV control system; mechatronics and robotics
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
Dr. Le Nhu Ngoc Thanh, Ha
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Autonomous UAVs
- Collision prediction and control
- Environment detection and tracking control
- Disturbance observer and robust control
- Fault diagnosis and failure control
- Smart UAVs
- UAV-vehicles networks and applications
- Hardware in the loop simulation and UAVs networks