Adaptive Learning Control for UAVs

Introduction:

Adaptive learning control of unmanned aircraft (UAV) is an growing and active research field with many promising applications in both military and civil fields. Adaptive learning control has great potential to enhance UAV integrated flight control systems. The objective of this session is to bring together the latest technologies and research activities from academia and industry to understand the requirements and promising technological solutions for realizing high-precision positioning and high-reliability tracking of UAV. Topics may include (but are not limited to): adaptive and artificial intelligence fusion algorithms, observability analysis of UAV, formation control, adaptive variable-structure control, bio-inspired control, intelligent control and emerging trends.

Submission Guideline:

Please submit your manuscript via Online Submission System: https://easychair.org/conferences/?conf=rcae2024
Please choose Special Session: Adaptive Learning Control for UAVs

Organizers:

Shuzong Xie

Zhejiang University, China

Shuzong Xie received the Ph.D. degree from the College of Information Engineering, Zhejiang University of Technology, Hangzhou, China, in 2022. He is currently a Postdoctoral Researcher at Zhejiang University. His current research interests include adaptive control and finite-time control with applications to spacecraft attitude systems and wind energy conversion systems. As the first person in charge, he has presided over one National Natural Science Foundation of China and one China Postdoctoral Science Foundation. So far, he has published 20 papers, including IEEE Transactions on Fuzzy Systems, IEEE Transactions on Aerospace and Electronic Systems, IEEE Transactions on Cybernetics, IEEE Transactions on Circuits and Systems II: Express Briefs, etc. He has published 3 highly cited ESI papers and 1 ESI hot paper, and has been granted 6 patents. In addition, he has received the Outstanding Paper Award from the IEEJ International Workshop on Sensing, Actuation, Motion Control, and Optimization in 2021.

Meiling Tao

Anhui Polytechnic University, China

Meiling Tao received the Ph.D. degrees in automation science and engineering from the College of Information Engineering, Zhejiang University of Technology, Hangzhou, China, in 2021. She is currently a Lecturer with the School of Electrical Engineering, Anhui Polytechnic University, Wuhu, China.  As the first person in charge, she has presided over one natural science research project in Anhui Province and several enterprise cooperation projects. He has authored over 15 journal and conference papers and a monograph, including IEEE Transactions, International Journal of Robust and Nonlinear Control, Nonlinear Dynamics, Neurocomputing. His current research interests include adaptive control of aerospace engineering systems, formation control of unmanned aerial vehicles.