Guidance, Navigation, and Control of Aerial Vehicles

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Electrical and Autonomous Vehicles".

Deadline for manuscript submissions: 28 February 2026 | Viewed by 5

Special Issue Editors


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Guest Editor
School of Aeronautics and Astronautics, Zhejiang University, Hangzhou 310058, China
Interests: guidance, navigation, and control; flight dynamics and simulations; optimal control and optimization

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Guest Editor
KIOS Research and Innovation Center of Excellence, Department of Electrical and Computer Engineering, University of Cyprus, Nicosia 1678, Cyprus
Interests: guidance and control; optimal control; machine learning in aerospace application

E-Mail Website
Guest Editor
School of Aeronautics and Astronautics, Zhejiang University, Hangzhou 310058, China
Interests: guidance, navigation, and control; flight dynamics and simulations; trajectory optimizatoin

Special Issue Information

Dear Colleagues,

Guidance, navigation, and control (GNC) are essential for the autonomous and reliable operation of aerial vehicles. They are responsible for determining attitude, position, and velocity, planning feasible flight trajectories or paths, and generating control commands to accurately follow those paths, while ensuring stability and safety. In real-world applications, Aerial vehicles must operate in complex and dynamically changing environments, often facing unpredictable disturbances such as wind, obstacles, or GPS-denied zones. Therefore, robust and intelligent GNC frameworks are critical to achieving mission success.

Therefore, we are pleased to announce this Special Issue dedicated to state-of-the-art solutions for GNC systems of aerial vehicles. Topics of interest include autonomous navigation and state estimation, path planning, trajectory optimization, adaptive and optimal control, multi-vehicle coordination, and experimental validations. Both theoretical advancements and application-oriented studies are welcome. The issue encourages interdisciplinary approaches, integrating techniques from control theory, robotics, artificial intelligence, and aerospace engineering.

We are looking forward to receiving your contributions.

Dr. Zheng Chen
Dr. Kun Wang
Dr. Rouhe Zhang
Guest Editors

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Keywords

  • unmanned aerial vehicles
  • guidance
  • navigation
  • control
  • trajectory planning
  • adaptive control
  • multi-vehicle coordination
  • state estimation
  • machine learning
  • nonlinear optimal control

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Published Papers

This special issue is now open for submission.
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