1. Title: Advanced control and identification method of intelligent unmanned system
2. Organizers:

Introduction of the organizer:
Haoxiang Ma is the lecturer of Henan University of Science and Technology. He has been long engaged in multi-agent system modeling and optimization, safe formation control and robust control of UAV. He presides and participates in many scientific research projects, such asthe National Natural Science Foundation of China under Grant, the Science and Technology Development Plan of Joint Research Program of Henan, the Key Scientific Research Project of Henan University, the Industrial Project from Science and Technology. At present, he has published more than 20 papers and served as a reviewer for several international journals such as IEEE Transactions on Cybernetics, Aerospace Science and Technology and Applied Mathematics and Computation.

Weizhong Chen is the associate professor of Xi’an Polytechnic University. He has been long engaged in hybrid systems, positive systems, intelligent control, neural networks, networked control and state estimation.As the project leader, he presidesmany scientific research projects such as the National Natural Science Foundation Project,Youth Project of Shaanxi Provincial High-level Talent Introduction Program, and the Shaanxi Provincial Natural Science Foundation Project. He has published more than 30 SCI papers in international journals in the control field, and served as a reviewer for several international journals such as, Automatica, IEEE Transactions on Automatic Control, IEEE Transactions on Industrial Electronics, and IEEE Transactions on Neural Networks and Learning Systems. In addition, he served as the National Natural Science Foundation and Shaanxi Provincial Education Department talent project evaluation expert.

Kai Cao is the associate professor at Xi'an Technological University. His main research areas include multi-agent systems, swarm robots , mechatronics, multi-robot formation control, and source localization. Hosted 4 provincial and ministerial level scientific research projects; Participated in over 20 national and provincial-level projects. Published over 40 academic research papers in domestic and international academic journals and conferences, and obtained 4 national invention patents. And served as a reviewer for several international journals such as IEEE Transactions on Intelligent Vehicles and ISA Transactions.

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.

3. Abstract:
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.

4. Topics:
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.