Intelligent Event Triggered Lane Keeping Security Control for Autonomous Vehicle Under DoS Attacks
Hunan University · Shanghai Jiao Tong University · +3 more institutions
Abstract
This article addresses the issue of networked lane keeping security control for autonomous vehicles subject to aperiodic controller-targeted denial-of-service (DoS) attacks, taking into account time-varying driving speed and nonlinear tire cornering stiffness. To accurately estimate the incompletely measured states and capture the dynamic behaviors appearing at the end of aperiodic DoS attacks, full state gain adjustable switching observer is established for the fuzzy vehicle-road integrated dynamic systems obtained via the tensor product model transformation method. In order to ensure the control quality and simultaneously save the communication resource, new resilient adaptive event-triggered scheme is…
Citation impact
- FWCI
- 29.38
- Percentile
- 100%
- References
- 58
Authors
7- FDFei DingCorresponding
Hunan University
- ZLZuoyu Liu
Hunan University
- YWYafei Wang
Shanghai Jiao Tong University
- JLJie Liu
Hunan University
- CWChongfeng Wei
University of Glasgow
Topics & keywords
- Computer science
- Event (particle physics)
- Computer security
- Control (management)
- Vehicle safety
- Artificial intelligence
- Engineering
- Automotive engineering