1. Resilient Event Triggered Interval Type-2 Fuzzy Sliding Mode Control for Connected and Autonomous Vehicles Subjected to Multiple Cyber Attacks
- Author
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Mohammed, Amir, Ramlal, Craig, Marine, Lincoln, and Muddeen, Fasil
- Subjects
Transportation equipment industry -- Research ,Foreign investments -- Research ,Driverless cars -- Research ,Cyberterrorism -- Research - Abstract
Connected and autonomous vehicles (CAVs) are considered a hot area of research in the field of intelligent transportation systems. However, over the past few years, cybersecurity threats have posed significant challenges to such systems, given the ever-evolving automotive industry. Thus, there is a growing need to design resilient control strategies to address the issue of cyberattacks. This article proposes the design of a distributed multiagent expert control scheme for cyberattack-resilient control of CAVs. The study implemented an event-triggered consensus-based attack detection scheme capable of distinguishing between replay (RA), denial-of-service (DoS), and false data injection (FDI) attacks. The attacks in this study occur randomly, are bounded and time-varying, and can overlap with each other. It was demonstrated that by considering an estimator error bound ε for the attacked signal reconstruction, the SMC controller in feedback with a vehicle remains stable in the sense of Lyapunov. Conditions were then provided that guarantee global asymptotic stability for a minimum dwell-time constraint T, and the platoon was shown to be string stable for the minimum distance between vehicles, denoted as dˇ[sub.cth]. Finally, the performance of the control strategy was evaluated using multiple performance indices, considering platoons of varying sizes., Author(s): Amir Mohammed (corresponding author) [1]; Craig Ramlal [1]; Lincoln Marine [1]; Fasil Muddeen [1] 1. Introduction Connected and autonomous vehicles can be regarded as automotive entities outfitted with advanced [...]
- Published
- 2024
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