报告题目：The game theoretic methods in complex networked control systems

　　报告时间：2019年9月24日(周二)下午14:00-15:00

　　报告地点：1513会议室

　　报 告 人：西北工业大学 袁源 教授

　　邀 请 人：大数据中心 罗辛 研究员

　　报告摘要:

　　Recent years have witnessed a rapid growth in the study of the game theoretic methods in the multidisciplinary fields of control, networked systems and security. It has been well recognized that, in certain cases where central coordination is infeasible, the game theoretic tools are more capable of describing the practical situation. In the situation where all the decision makers are non-cooperative and only pursue their own interest, it is more possible that the nash equilibrium would be obtained rather than the pareto optimality. Therefore, it is not difficult to arrive at the conclusion that game theory is more capable of describing the reality of the large-scaled system where it is hard (or impossible) to make all the decision makers pursue a common interest. In this talk, I would try to deliver the idea how the game theoretic tools can be impliments in the area of networked control systems, the security problem and in practical motion control systems.

　　报告人简介:

　　Yuan Yuan is currently a full professor in School of Astronautics, Northwestern Polytechnnical University, China (NPU). Dr. Yuan received his Ph.D in Computer Science and Technology in Tsinghua university in 2015 and B.Sc. Degree in electrical engineering from the School of Instrumental Science and Opto-electronics Engineering, Beihang University in 2009. Prior to joining NPU, Dr. Yuan works as a research fellow in Brunel University London, U.K., and a research associate in City University of Hongkong. Dr. Yuan is an IEEE Senior Member, a Reviewer for Mathematical Reviews, and serves as Associate Editor for Neurocomputing, International Journal of Advance Robotic Systems, Transactions of the Institute of Measurement and Control, and Mathematical Problems in Engineering. He also serves as Guest Editor for International Journal of General Systems, Industrial Robotics, and International Journal of Advance Robotic Systems. Dr. Yuan is the receipt of the best paper award for 2018 IEEE Chinese Guidance, Navigation and Control Conference, International Conference on Intelligent Robotics and Application and the International Conference on Innovative Computing, Information and Control.

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