Special Session III

Advanced Control and Identification Method for Intelligent Unmanned System
智能无人系统先进控制和辨识方法

Introduction:

The safe control and identification of intelligent unmanned system is a front research area. It is dedicated to the multi-disciplinary coupled dynamic modeling, decision making and control of unmanned aerial vehicle, unmanned ground vehicle and unmanned ship. The purpose of this session is to work with experts, scholars and engineers from all over the world to show and share advanced control method and novel achievements in dynamic modeling and control applications of intelligent unmanned system. The topics of this session include but are not limited to: intelligent unmanned system coupling dynamics model, image processing, intelligent identification, advanced decision and control algorithms, robust control, fault tolerant control, navigation guidance and control, fault detection and related innovative applications and new research trends.

智能无人系统的安全控制与识别是一个前沿研究领域。它专注于无人机、无人地面车辆和无人船的多学科耦合动力学建模、决策以及控制。本次会议的目的是与来自世界各地的专家、学者和工程师合作,展示并分享智能无人系统在动力学建模和控制应用方面的先进控制方法和创新性成果。
本专题包括但不限于:智能无人系统耦合动力学模型、图像处理、智能识别、先进的决策与控制算法、鲁棒控制、容错控制、导航制导与控制、故障检测以及相关的创新应用和新的研究趋势。

Organizers:

Kun Yan, Xi’an Technological University, China

Kun Yan is the associate professor of Xi’an Technological University. He has been long engaged in nonlinear system modeling and optimization, anti-disturbance and fault-tolerant control of UAV. He presides over many scientific research projects, such as the National Natural Science Foundation of China, the “Chunhui Plan” Cooperative Scientific Project From Ministry of Education, the Industrial Project from Science and Technology Department of Shaanxi Province, the Xi'an University Institutes Science and Technology Staff Service Enterprise Project and the Open Fund of Ministry of Education Key Laboratory of Information Fusion Technology. At present, he has published more than 30 papers and served as a reviewer for several international journals such as IEEE Transactions on Cybernetics, ISA Transactions and IET Control Theory and Applications.

Haidong Shen, Nanjing University of Aeronautics and Astronautics, China

Haidong Shen received his Ph.D. degree in guidance, navigation and control from the Nanjing University of Aeronautics and Astronautics (NUAA), Nanjing, China. He is currently an Associate Professor with the College of Astronautics, Nanjing University of Aeronautics and Astronautics. He has long been dedicated to research in the fields of dynamics modeling, guidance, and control of hypersonic vehicles. He has published over 10 papers in high-level academic journalssuch as Aerospace Science and Technology. He was selected for the 9th Young Talent Support Project by the China Association for Science and Technology, and received the Young Scientist Award from the Jiangsu Society of Aeronautics and Astronautics.His current research focuses on advanced dynamic modeling techniques, innovative control methodologies, and their practical applications in aerospace engineering.

Dong Zhao, Anhui University, China

Dong Zhao received the B.S. and Ph.D. degrees in automatic control from the Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2013 and 2021, respectively. He is currently an Associate Professor with the School of Artificial Intelligence, Anhui University, Hefei. He has published more than 20 academic papers, including high-quality ones in internationally renowned journals such as IEEE Trans. Automatic Control, International Journal of Control, and Chinese Journal of Aeronautics, and has won the First Prize of the Science and Technology Award of the Chinese Association for Automation. His current research interests include fault-tolerantcontrol of distributed parameter systems and its application to flexible structures, and path planning for multiple UAVs based on intelligence optimization.

Submission Guideline:

Please submit your manuscript via Online Submission System: https://easychair.org/conferences/?conf=rcae2025
Please choose Special Session: Advanced Control and Identification Method for Intelligent Unmanned System