报告人简介
Guoxiang Gu (F’10) received the Ph.D. degree in Electrical Engineering from University of Minnesota, Minneapolis, MN, USA, in 1988. From 1988 to 1990, he was with the Department of Electrical Engineering, Wright State University, Dayton, OH, USA, as a Visiting Assistant Professor. He has held visiting positions with Wright-Patterson Air Force Base, OH, USA, and with the Hong Kong University of Science and Technology, Hong Kong. Since 1990, he joined Louisiana State University (LSU), Baton Rouge, LA, USA, where he is currently a Professor of Electrical and Computer Engineering. He has authored two books, over 90 archive journal papers, and numerous book chapters and conference papers. His research interests include networked control systems, adaptive learning control, and industrial applications. Dr. Gu served as an Associate Editor for IEEE Transactions on Automatic Control from January 1998 to December 2001 and from January 2018 to December 2021, SIAM Journal on Control and Optimization from 2006 to 2009, and Automatica from 2006 to 2012. He is currently the F. Hugh Coughlin/CLECO Distinguished Professor at LSU and Life Fellow of IEEE.
报告摘要
The dynamic model of such vehicle systems is inherently nonlinear, and involves unknown and uncertain parameters due to wear-tear, ageing, and changes of road conditions and surrounding environments. A distributed direct adaptive control law is employed to control the vehicles' longitudinal motion, globally asymptotically stabilizing the operating point, specified by the speed limit. More importantly, a passivity approach is adopted to analyze the disturbance string stability associated with the platoon of adaptive closed-loop vehicle control systems. It is shown that the distributed direct adaptive control law achieves the string stability in the presence of model nonlinearities and parameter uncertainties against the worst-case energy bounded disturbances. Further analysis shows that the vehicle platoon under the distributed direct adaptive control law is capable of synchronizing all velocities while maintaining the required safe inter-vehicle distances. The results are illustrated by simulation studies compared with other existing methods for platoon control.
