报告题目：LQG Control of Interconnected Systems with Time-Correlated Noises: Application to Vehicle Platoon

报告人：王雁副教授，哈尔滨工业大学（深圳）

报告时间：2023年4月26日15:00

报告方式：腾讯会议，会议号174 615 237

报告摘要：We study the optimal state-feedback LQG control (OSLC) of interconnected systems (ISs) with time-correlated process noises.In an IS, the information is transmitted among subsystems via the network, and the transmission time is proportional to the distance of the corresponding subsystem pairs. This means that the information received by a subsystem includes the non-real-time information, and that the information from different subsystems may be of different time indexes. This makes the optimal controller design challenging. The OSLC of ISs with time-uncorrelated process noises is studied by an independence decomposition method in the existing literature. However, the existing independence decomposition method strongly relies on the condition that the process noises are time uncorrelated, and fails for the time-correlated process noises case. In our work, the globally optimal LQG controller of ISs with time-correlated process noises is successfully designed. In particular, a new cost function decomposition is obtained based on the Bellman equation. Both the system state and the control input are decomposed into two independent parts by the orthogonal decomposition technique. The proposed decomposition method leads to the successful design of the globally optimal controller. The proposed theoretical results are applied to a vehicle platoon system. The simulation shows that the platoon maintains a desired state and achieves a good performance under the proposed controller.

报告人简介：Yan Wang received the B.E. degree in automation and the Ph.D. degree in control science and engineering from University of Science and Technology of China in 2014 and 2019, respectively. During 2019 to 2021, he was a Research Fellow at Nanyang Technological University, Singapore. From 2021 to Jan. 2023, he was affiliated with The Hong Kong Polytechnic University, and Chinese University of Hong Kong. He is currently an associate professor at the School of Mechanical and Electrical Engineering and Automation, Harbin Institute of Technology, Shenzhen. Dr. Wang’s research interests include optimal control/estimation of interconnected systems; connected vehicle system control and optimization; AGV schedule in flexible manufacturing systems.