Control and Applications of Intelligent Unmanned Aerial Vehicle

Dear Colleagues,

Embedding intelligence into the control design of unmanned aerial vehicles (UAVs) would benefit them when operating in uncertain environments, and even facing unpredictable events. To guarantee the system safety under the intention of completing tasks, optimisation and machine learning methods are attracting increasing attention in the UAV community due to witnessing compelling development of machine learning techniques. In recent years, UAVs have achieved great success in many interdisciplinary applications, including remote sensing, precision agriculture, and offshore asset inspection, etc. With the growing mature technique of machine learning, many precocious challenges related to intelligent autonomous system development of UAVs may meet alternatively potential solutions and explanations.  

It is our pleasure to invite you to submit original research papers, short communications, or state-of-the-art reviews within the scope of this Special Issue. Contributions can range from pioneering trajectory/path planning and following with complex spatial-temporal missions, advanced control design of UAVs in adverse environments (such as winds) to practical UAV applications and modern intelligent guidance and control system design and implementation. Moreover, this Special Issue is also interested in the practical applications of UAVs, such as remote sensing, precision agriculture, asset inspection, and other UAV-based applications.

The list of possible topics for this Special Issue includes, but is not limited to:

• UAV perception;
• Intelligent control;
• Optimisation-based flight control;
• Disturbance estimation and rejection;
• Cooperative control;
• UAV-based remote sensing;
• Asset inspection;
• UAV applications of agriculture.

Dr. Yunda Yan
Dr. Dewei Yi
Dr. Hao Lu
Dr. Lan Gao
Guest Editors

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