Prof. LIU Lu, City University of Hong Kong, Hong Kong
Dr. Lu Liu received her Ph.D. degree in 2008 in the Department of Mechanical and Automation Engineering, Chinese University of Hong Kong, Hong Kong. From 2009 to 2012, she was an Assistant Professor in The University of Tokyo, Japan, and then a Lecturer in The University of Nottingham, United Kingdom. After that, she joined City University of Hong Kong, Hong Kong, where she is currently an Associate Professor. Her research interests are primarily in networked dynamical systems, control theory and applications and biomedical devices. She received the Best Paper Award (Guan Zhaozhi Award) of the 27th Chinese Control Conference in 2008, the Shimemura Young Author Award of the 11th Asian Control Conference in 2017, the Zhang Si-Ying Outstanding Youth Paper Award and the Best Paper Award of the 30th Chinese Control and Decision Conference, the 13th World Congress on Intelligent Control and Automation, respectively, in 2018. She also received the President's Award and the Outstanding Supervisor Award in City University of Hong Kong in 2018 and 2017, respectively.
Dr. Liu is an Associate Editor of IEEE Transactions on Cybernetics, Control Theory and Technology, Transactions of the Institute of Measurement and Control, and Unmanned Systems. She has been Guest Editor for Unmanned Systems. She served in organizing committee or operating committee of several international Conferences including the Invited Session Chair of 2018 International Conference on Control, Automation, Robotics and Vision, Program Chair of 2017 IEEE International Conference on Control and Automation, International Liaisons
Speech Title: Cooperative Control of Heterogeneous Linear Multi-Agent Systems Based on Sensory Feedback
Abstract: In this talk, we investigate the cooperative control problem of heterogeneous linear multi-agent systems. A novel distributed control approach is first proposed to handle the general cooperative control problem. Then, the proposed approach is applied to solve two classes of cooperative control problems: one is the consensus problem and the other is the cooperative output regulation problem. Specifically, based on the low gain approach, the controller parameter is designed and the cooperative control problem is solved by means of Lyapunov analysis.
The proposed approach depends on relative output of the agent systems and thus is called sensory feedback controller. In comparison with existing results, this approach has its distinct features in at least two aspects. First, it can deal with general multi-input multi-output linear agent dynamics. Second, it does not require communication of internal state, which not only reduces the dimension of the controller but also greatly facilitates the implementation of the controller.