Privacy-Preserving Cooperative-Tracking Control via Switching Heterogeneous Directed Graphs

4:00pm - 5:00pm
Room 5560 (lift 27/28), Academic Bldg.

Distributed cooperative tracking control has been attracting an increasing number of interests recently with wide application scenarios. It entails faster responses to its neighboring node and is more flexible than a centralized one. However, the leakage of information due to direct exchanges of sensitive data among individual agents may hinder the approach from being adopted in a broader scope of applications. In this talk, I will introduce my recent work: privacy-preserving cooperative tracking control in multi-agent systems, which aims for cooperative-tracking consensus without leaking the state information of the participating agents. We consider a general directed pairwise communication topology, where the weights among individual agents are time-variant either spontaneously or adjustably. We then derive the condition for the control to reach cooperative-tracking consensus and show the relationship between the asymptotic convergence factor and the choice of control gain. After that, we analyze the privacy-preserving performance against eavesdroppers. We prove that the deviation of each node’s state can be arbitrarily large while the received information by the adversaries remains the same, which means that the privacy of nodes’ states is preserved against adversaries. Numerical examples are shown to demonstrate the effectiveness of our proposed algorithm.

讲者/ 表演者:
Dr. Lingying Huang
School of Electrical and Electronic Engineering, Nanyang Technological University

Dr. Lingying Huang received her B.S. degree in Electrical Engineering and Automation from Southeast University, JiangSu, China, in 2017, and the Ph.D degree in Electrical and Computer Engineering from Hong Kong University of Science and Technology, Hong Kong, in 2021. She is currently a Research fellow at the School of Electrical and Electronic Engineering, Nanyang Technological University. From July 2015 to August 2015, she had a summer program in Georgia Tech University, USA. Her current research interests include intelligent vehicles, cyber-physical system security/privacy, networked state estimation, event-triggered mechanism and distributed optimization.