Chengwei Pan, he is currently working at the School of Automation Engineering, University of Electronic Science and Technology of China (UESTC) . He received the Ph.D degree in control science and engineering from UESTC, Chengdu, China, in 2023. Currently, he is working as full time postdoctoral researcher with UESTC. He has published over 10 technical articles in journals and conferences. His research interest includes intelligent connected vehicle platoon system, robust control, distributed resilient control and adaptive Control. Yong Chen (Senior Member, IEEE), he is currently working at the School of Automation Engineering, University of Electronic Science and Technology of China (UESTC) . He received the Ph.D. degree from Chongqing University, Chongqing, China, in 2007. He was a Visiting Scholar with the School of Mechanical Engineering, the University of Adelaide during 2013-2014. Since 2015, he has been a Professor and the Ph.D. Supervisor with the School of Automation Engineering, UESTC. Since 2021, he was work in the Yangtze Delta Region Institute (Huzhou) ,UESTC. Since 2022, he has also been a director of the Sichuan Province Engineering Technology Research Center for Electric Vehicle Driving System and Safety. He has published over 100 technical papers in journals and conferences, and over 50 Chinese patents. His current research interests include Networked control system, Cyber physical systems, resilient control and advanced control.

• Introduction.- Resilient control design of intelligent connected vehicle platoon systems.- Distributed adaptive resilient control for heterogeneous intelligent connected platoon vehicle systems with fault and saturation.- Distributed finite time resilient control for intelligent connected vehicle platoon systems with exponential policy.- Distributed prescribed performance resilient control for heterogeneous intelligent connected vehicle platoon systems with compound cyber attacks.- Distributed fixed time resilient control for intelligent connected vehicle platoon systems under the communication faults and disturbances.- Distributed adaptive prescribed fixed time resilient control of heterogeneous intelligent connected vehicle platoon systems against unknown dead zone and faults.- summarization and prospect.

Chengwei Pan, he is currently working at the School of Automation Engineering, University of Electronic Science and Technology of China (UESTC) . He received the Ph.D degree in control science and engineering from UESTC, Chengdu, China, in 2023. Currently, he is working as full time postdoctoral researcher with UESTC. He has published over 10 technical articles in journals and conferences. His research interest includes intelligent connected vehicle platoon system, robust control, distributed resilient control and adaptive Control. Yong Chen (Senior Member, IEEE), he is currently working at the School of Automation Engineering, University of Electronic Science and Technology of China (UESTC) . He received the Ph.D. degree from Chongqing University, Chongqing, China, in 2007. He was a Visiting Scholar with the School of Mechanical Engineering, the University of Adelaide during 2013-2014. Since 2015, he has been a Professor and the Ph.D. Supervisor with the School of Automation Engineering, UESTC. Since 2021, he was work in the Yangtze Delta Region Institute (Huzhou) ,UESTC. Since 2022, he has also been a director of the Sichuan Province Engineering Technology Research Center for Electric Vehicle Driving System and Safety. He has published over 100 technical papers in journals and conferences, and over 50 Chinese patents. His current research interests include Networked control system, Cyber physical systems, resilient control and advanced control.

• Introduction.- Resilient control design of intelligent connected vehicle platoon systems.- Distributed adaptive resilient control for heterogeneous intelligent connected platoon vehicle systems with fault and saturation.- Distributed finite time resilient control for intelligent connected vehicle platoon systems with exponential policy.- Distributed prescribed performance resilient control for heterogeneous intelligent connected vehicle platoon systems with compound cyber attacks.- Distributed fixed time resilient control for intelligent connected vehicle platoon systems under the communication faults and disturbances.- Distributed adaptive prescribed fixed time resilient control of heterogeneous intelligent connected vehicle platoon systems against unknown dead zone and faults.- summarization and prospect.

Chengwei Pan, he is currently working at the School of Automation Engineering, University of Electronic Science and Technology of China (UESTC) . He received the Ph.D degree in control science and engineering from UESTC, Chengdu, China, in 2023. Currently, he is working as full time postdoctoral researcher with UESTC. He has published over 10 technical articles in journals and conferences. His research interest includes intelligent connected vehicle platoon system, robust control, distributed resilient control and adaptive Control. Yong Chen (Senior Member, IEEE), he is currently working at the School of Automation Engineering, University of Electronic Science and Technology of China (UESTC) . He received the Ph.D. degree from Chongqing University, Chongqing, China, in 2007. He was a Visiting Scholar with the School of Mechanical Engineering, the University of Adelaide during 2013-2014. Since 2015, he has been a Professor and the Ph.D. Supervisor with the School of Automation Engineering, UESTC. Since 2021, he was work in the Yangtze Delta Region Institute (Huzhou) ,UESTC. Since 2022, he has also been a director of the Sichuan Province Engineering Technology Research Center for Electric Vehicle Driving System and Safety. He has published over 100 technical papers in journals and conferences, and over 50 Chinese patents. His current research interests include Networked control system, Cyber physical systems, resilient control and advanced control.

• Introduction.- Resilient control design of intelligent connected vehicle platoon systems.- Distributed adaptive resilient control for heterogeneous intelligent connected platoon vehicle systems with fault and saturation.- Distributed finite time resilient control for intelligent connected vehicle platoon systems with exponential policy.- Distributed prescribed performance resilient control for heterogeneous intelligent connected vehicle platoon systems with compound cyber attacks.- Distributed fixed time resilient control for intelligent connected vehicle platoon systems under the communication faults and disturbances.- Distributed adaptive prescribed fixed time resilient control of heterogeneous intelligent connected vehicle platoon systems against unknown dead zone and faults.- summarization and prospect.