Wir verwenden Cookies und Analyse-Tools, um die Nutzerfreundlichkeit der Internet-Seite zu verbessern und für Marketingzwecke. Wenn Sie fortfahren, diese Seite zu verwenden, nehmen wir an, dass Sie damit einverstanden sind. Zur Datenschutzerklärung.
Resilient Control of Intelligent Connected Vehicle Platoon Systems
Details
The book focuses on the design of resilient control schemes for intelligent connected vehicle platoon systems. The issues of physical faults, malicious cyber-attacks and external disturbances are studied from the perspective of resilient control. The contents of this book introduce a variety of control schemes in detail, and give simulation or experimental verification cases. To enable readers to learn the resilient control methods of vehicle platoon systems is the main benefit of this book. Meanwhile, this book also benefits researchers, engineers, graduate students in related fields such as nonlinear control, robust control, resilient control, vehicle platoon control, etc.
Provides theoretically the design scheme of the resilient control of the intelligent connected vehicle platoon system Details robust control approaches to prevent physical failures, malicious cyber-attacks and external disruptions Examines the vehicle platoon stability performance in-depth concerning finite time, fixed time, prescribed fixed time
Autorentext
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.
Inhalt
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.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09789819788521
- Lesemotiv Verstehen
- Genre Electrical Engineering
- Sprache Englisch
- Anzahl Seiten 212
- Herausgeber Springer
- Größe H235mm x B155mm x T11mm
- Jahr 2025
- EAN 9789819788521
- Format Kartonierter Einband
- ISBN 9819788528
- Veröffentlichung 13.12.2025
- Titel Resilient Control of Intelligent Connected Vehicle Platoon Systems
- Autor Chengwei Pan , Yong Chen
- Gewicht 368g