Special Session 7

Autonomous Evolution and Intelligent Evaluation of UAV Swarm

Introduction: In order to solve the installed unmanned clusters in multi-source interference under the combat effectiveness is low, poor coordination ability and the effect of the assessment is difficult and other key issues, to speed up the rapid generation of unmanned clusters of intelligent combat forces, give full play to the unmanned clusters in the complex conditions of the real-time path planning, autonomous search and reconnaissance, intelligent optimization of decision-making, intelligent strikes to assess the advantages of the destruction of the unmanned clusters to achieve the unmanned clusters of performance from the "zero-intelligence" to the "high-intelligence" iterative evolution, UAV clusters of the evolution of the control of the autonomy of the evolution of the unmanned aerial vehicle clusters are particularly important, is one of the difficulties that urgently need to be overcome.

With the theme of "Autonomous Evolution and Intelligent Evaluation of UAV Clusters", this invited symposium focuses on the theoretical and technological frontiers of autonomous evolution and intelligent evaluation of UAV clusters, with an emphasis on the concepts, theories, technologies, and applications of intelligent perception, autonomous evolution, intelligent decision-making, and real-time destruction and evaluation of UAV clusters under complex working conditions. Original papers are invited but not limited to the following topics:

  1. New methods and techniques for modeling, simulation, and validation of UAV clusters
  2. New Theories, Methods, and Technologies for Autonomous Evolution of Unmanned Clusters
  3. Unmanned Cluster Intelligent Cooperative Sensing and Recognition Technology
  4. Heterogeneous unmanned cluster autonomy and system control technology
  5. Cooperative tracking and control technology for unmanned clusters in adversarial environments
  6. Theories, methods, techniques, systems or platforms related to unmanned cluster systems

 

Organizers:

Jialong Zhang, Test Center, National University of Defense Technology, China

Jialong Zhang (Member, IEEE) received the B.Eng. degree from the North China Institute of Aerospace Engineering, Langfang, China, in 2014, and the M.E. degree from the College of Aeronautics and Astronautics Engineering, Air Force Engineering University, Xi'an, China, in 2017, and Ph.D. degrees from the School of Automation, Northwestern Polytechnical University, in 2021.
He is currently an assistant research fellow with the Xi’an satellite control center, Xi'an, China. His main research interest lies in UAV swarm formation flight control and Space situation awareness. Dr. Zhang has been awarded the Best Conference Paper Finalist of IEEE International Conference on Advanced Robotics & Mechatronics in 2021, and he is Aeronautical society member. Additionally, he also serves as a Reviewer for some scientific journals, such as IEEE Transactions on Industrial Electronics, IEEE/ASME Transactions on Mechatronics, ISA Transactions, IEEE Transactions on Artificial Intelligence, IEEE Transactions on Information Forensics & Security, Expert Systems With Applications, IEEE Transactions on Automation Science and Engineering, IEEE Transactions on Aerospace and Electronic Systems, International Journal of Robust and Nonlinear Control, IEEE Transactions on Vehicular Technology, IEEE systems Journal, IEEE Transactions on Circuits and Systems I, IEEE Transactions on Cybernetics, IEEE Transactions on Mechatronics, Journal of Field Robotics, and so on. He presided over more than 5 national projects, published more than 37 academic papers and one academic monograph.

Wei Duan, Test Center, National University of Defense Technology, China

Wei Duan received the Ph.D. degree in control theory and control engineering from Xidian University, Xi'an, China, in 2024. He was a postdoctoral researcher in Polytechnic University of Bari, Bari, Italy from 2024 to 2025.
He is currently an assistant researcher with the Test center, National University of Defense Technology. His research interests include supervisory control of discrete event systems, state estimation, fault diagnosis, and security and privacy in cyber-physical systems.

Pu Zhang, Xi'an University of Technology, China

Pu Zhang received the BEng and MEng degrees from the Xi’an University of Technology, in 2014 and 2017, respectively. She is currently working toward the PhD degree at Northwestern Polytechnical University. In 2021 and 2022, She was a joint Ph.D. student with the Department of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, supported by the China Scholarship Counil. She is currently a teacher at School of Automation and Information Engineering, Xi'an University of Technology. Her main research interests include multiagent systems, fault-tolerant control, distributed control, finite-time control, resilient control, and cyber-physical systems. She also serves as a Reviewer for some scientific journals, such as IEEE Transactions on Automation Science and Engineering, The Journal of the Franklin Institute, IEEE Transactions on Aerospace and Electronic Systems, ISA Transactions, and so on. She presided over more than 4 national projects, published more than 30 academic papers and one academic monograph.

Submission Guideline:

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